diff --git a/combo/data/dataset.py b/combo/data/dataset.py
index 3b16c149b7abd9e2aba6ac50a4b0b71740d4f5d7..f5876b0e5a073b95849130947b612ab23f1b1208 100644
--- a/combo/data/dataset.py
+++ b/combo/data/dataset.py
@@ -1,24 +1,8 @@
-import copy
import logging
-import pathlib
from dataclasses import dataclass
-from typing import List, Any, Dict, Iterable, Optional, Tuple
+from typing import Optional
-import conllu
-import torch
-from overrides import overrides
-
-from combo import data
-from combo.data import Vocabulary, fields, Instance, Token, TokenizerToken
-from combo.data.dataset_readers.dataset_reader import DatasetReader
-from combo.data.fields import Field
-from combo.data.fields.adjacency_field import AdjacencyField
-from combo.data.fields.metadata_field import MetadataField
-from combo.data.fields.sequence_label_field import SequenceLabelField
-from combo.data.fields.text_field import TextField
-from combo.data.token_indexers import TokenIndexer
-from combo.models import parser
-from combo.utils import checks, pad_sequence_to_length
+from combo.data import TokenizerToken
logger = logging.getLogger(__name__)
@@ -34,240 +18,3 @@ class _Token(TokenizerToken):
feats_: str = None) -> None:
super().__init__(text, idx, idx_end, lemma_, pos_, tag_, dep_, ent_type_, text_id, type_id)
self.feats_ = feats_
-
-
-class UniversalDependenciesDatasetReader(DatasetReader):
- def __init__(
- self,
- token_indexers: Dict[str, TokenIndexer] = None,
- lemma_indexers: Dict[str, TokenIndexer] = None,
- features: List[str] = None,
- targets: List[str] = None,
- use_sem: bool = False,
- **kwargs,
- ) -> None:
- super().__init__(**kwargs)
- if features is None:
- features = ["token", "char"]
- if targets is None:
- targets = ["head", "deprel", "upostag", "xpostag", "lemma", "feats"]
-
- if "token" not in features and "char" not in features:
- raise checks.ConfigurationError("There must be at least one ('char' or 'token') text-based feature!")
-
- if "deps" in targets and not ("head" in targets and "deprel" in targets):
- raise checks.ConfigurationError("Add 'head' and 'deprel' to targets when using 'deps'!")
-
- intersection = set(features).intersection(set(targets))
- if len(intersection) != 0:
- raise checks.ConfigurationError(
- "Features and targets cannot share elements! "
- "Remove {} from either features or targets.".format(intersection)
- )
- self.use_sem = use_sem
-
- # *.conllu readers configuration
- fields = list(parser.DEFAULT_FIELDS)
- fields[1] = "token" # use 'token' instead of 'form'
- field_parsers = parser.DEFAULT_FIELD_PARSERS
- # Do not make it nullable
- field_parsers.pop("xpostag", None)
- # Ignore parsing misc
- field_parsers.pop("misc", None)
- if self.use_sem:
- fields = list(fields)
- fields.append("semrel")
- field_parsers["semrel"] = lambda line, i: line[i]
- self.field_parsers = field_parsers
- self.fields = tuple(fields)
-
- self._token_indexers = token_indexers
- self._lemma_indexers = lemma_indexers
- self._targets = targets
- self._features = features
- self.generate_labels = True
- # Filter out not required token indexers to avoid
- # Mismatched token keys ConfigurationError
- for indexer_name in list(self._token_indexers.keys()):
- if indexer_name not in self._features:
- del self._token_indexers[indexer_name]
-
- @overrides
- def _read(self, file_path: str) -> Iterable[Instance]:
- file_path = [file_path] if len(file_path.split(",")) == 0 else file_path.split(",")
-
- for conllu_file in file_path:
- file = pathlib.Path(conllu_file)
- assert conllu_file and file.exists(), f"File with path '{conllu_file}' does not exists!"
- with file.open("r", encoding="utf-8") as f:
- for annotation in conllu.parse_incr(f, fields=self.fields, field_parsers=self.field_parsers):
- yield self.text_to_instance(annotation)
-
- # why is there an error? TypeError: UniversalDependenciesDatasetReader.text_to_instance: `inputs` must be present
- #@overrides
- def text_to_instance(self, tree: conllu.TokenList) -> Instance:
- fields_: Dict[str, Field] = {}
- tree_tokens = [t for t in tree if isinstance(t["id"], int)]
- tokens = [_Token(t["token"],
- pos_=t.get("upostag"),
- tag_=t.get("xpostag"),
- lemma_=t.get("lemma"),
- feats_=t.get("feats"))
- for t in tree_tokens]
-
- # features
- text_field = TextField(tokens, self._token_indexers)
- fields_["sentence"] = text_field
-
- # targets
- if self.generate_labels:
- for target_name in self._targets:
- if target_name != "sent":
- target_values = [t[target_name] for t in tree_tokens]
- if target_name == "lemma":
- target_values = [TokenizerToken(v) for v in target_values]
- fields_[target_name] = TextField(target_values, self._lemma_indexers)
- elif target_name == "feats":
- target_values = self._feat_values(tree_tokens)
- fields_[target_name] = fields.SequenceMultiLabelField(target_values,
- self._feats_indexer,
- self._feats_as_tensor_wrapper,
- text_field,
- label_namespace="feats_labels")
- elif target_name == "head":
- target_values = [0 if v == "_" else int(v) for v in target_values]
- fields_[target_name] = SequenceLabelField(target_values, text_field,
- label_namespace=target_name + "_labels")
- elif target_name == "deps":
- # Graphs require adding ROOT (AdjacencyField uses sequence length from TextField).
- text_field_deps = TextField([_Token("ROOT")] + copy.deepcopy(tokens), self._token_indexers)
- enhanced_heads: List[Tuple[int, int]] = []
- enhanced_deprels: List[str] = []
- for idx, t in enumerate(tree_tokens):
- t_deps = t["deps"]
- if t_deps and t_deps != "_":
- for rel, head in t_deps:
- # EmoryNLP skips the first edge, if there are two edges between the same
- # nodes. Thanks to that one is in a tree and another in a graph.
- # This snippet follows that approach.
- if enhanced_heads and enhanced_heads[-1] == (idx, head):
- enhanced_heads.pop()
- enhanced_deprels.pop()
- enhanced_heads.append((idx, head))
- enhanced_deprels.append(rel)
- fields_["enhanced_heads"] = AdjacencyField(
- indices=enhanced_heads,
- sequence_field=text_field_deps,
- label_namespace="enhanced_heads_labels",
- padding_value=0,
- )
- fields_["enhanced_deprels"] = AdjacencyField(
- indices=enhanced_heads,
- sequence_field=text_field_deps,
- labels=enhanced_deprels,
- # Label namespace matches regular tree parsing.
- label_namespace="enhanced_deprel_labels",
- padding_value=0,
- )
- else:
- fields_[target_name] = SequenceLabelField(target_values, text_field,
- label_namespace=target_name + "_labels")
-
- # Restore feats fields to string representation
- # parser.serialize_field doesn't handle key without value
- for token in tree.tokens:
- if "feats" in token:
- feats = token["feats"]
- if feats:
- feats_values = []
- for k, v in feats.items():
- feats_values.append('='.join((k, v)) if v else k)
- field = "|".join(feats_values)
- else:
- field = "_"
- token["feats"] = field
-
- # metadata
- fields_["metadata"] = MetadataField({"input": tree,
- "field_names": self.fields,
- "tokens": tokens})
-
- return Instance(fields_)
-
- @staticmethod
- def _feat_values(tree: List[Dict[str, Any]]):
- features = []
- for token in tree:
- token_features = []
- if token["feats"] is not None:
- for feat, value in token["feats"].items():
- if feat in ["_", "__ROOT__"]:
- pass
- else:
- # Handle case where feature is binary (doesn't have associated value)
- if value:
- token_features.append(feat + "=" + value)
- else:
- token_features.append(feat)
- features.append(token_features)
- return features
-
- @staticmethod
- def _feats_as_tensor_wrapper(field: fields.SequenceMultiLabelField):
- def as_tensor(padding_lengths):
- desired_num_tokens = padding_lengths["num_tokens"]
- assert len(field._indexed_multi_labels) > 0
- classes_count = len(field._indexed_multi_labels[0])
- default_value = [0.0] * classes_count
- padded_tags = pad_sequence_to_length(field._indexed_multi_labels, desired_num_tokens,
- lambda: default_value)
- tensor = torch.tensor(padded_tags, dtype=torch.long)
- return tensor
-
- return as_tensor
-
- @staticmethod
- def _feats_indexer(vocab: Vocabulary):
- label_namespace = "feats_labels"
- vocab_size = vocab.get_vocab_size(label_namespace)
- slices = get_slices_if_not_provided(vocab)
-
- def _m_from_n_ones_encoding(multi_label: List[str], sentence_length: int) -> List[int]:
- one_hot_encoding = [0] * vocab_size
- for cat, cat_indices in slices.items():
- if cat not in ["__PAD__", "_"]:
- label_from_cat = [label for label in multi_label if cat == label.split("=")[0]]
- if label_from_cat:
- label_from_cat = label_from_cat[0]
- index = vocab.get_token_index(label_from_cat, label_namespace)
- else:
- # Get Cat=None index
- index = vocab.get_token_index(cat + "=None", label_namespace)
- one_hot_encoding[index] = 1
- return one_hot_encoding
-
- return _m_from_n_ones_encoding
-
-
-def get_slices_if_not_provided(vocab: data.Vocabulary):
- if hasattr(vocab, "slices"):
- return vocab.slices
-
- if "feats_labels" in vocab.get_namespaces():
- idx2token = vocab.get_index_to_token_vocabulary("feats_labels")
- for _, v in dict(idx2token).items():
- if v not in ["_", "__PAD__"]:
- empty_value = v.split("=")[0] + "=None"
- vocab.add_token_to_namespace(empty_value, "feats_labels")
-
- slices = {}
- for idx, name in vocab.get_index_to_token_vocabulary("feats_labels").items():
- # There are 2 types features: with (Case=Acc) or without assigment (None).
- # Here we group their indices by name (before assigment sign).
- name = name.split("=")[0]
- if name in slices:
- slices[name].append(idx)
- else:
- slices[name] = [idx]
- vocab.slices = slices
- return vocab.slices
diff --git a/combo/data/dataset_readers/universal_dependencies_dataset_reader.py b/combo/data/dataset_readers/universal_dependencies_dataset_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce17177d07431e6847fa5c0296f078bfbd9b2f11
--- /dev/null
+++ b/combo/data/dataset_readers/universal_dependencies_dataset_reader.py
@@ -0,0 +1,289 @@
+"""
+Adapted from AllenNLP
+Author: Mateusz Klimaszewski
+"""
+import copy
+import pathlib
+from typing import List, Any, Dict, Iterable, Tuple
+
+import conllu
+import torch
+from overrides import overrides
+
+from combo import data
+from combo.data import Vocabulary, fields, Instance, TokenizerToken
+from combo.data.dataset import _Token
+from combo.data.dataset_readers.dataset_reader import DatasetReader
+from combo.data.fields import Field
+from combo.data.fields.adjacency_field import AdjacencyField
+from combo.data.fields.metadata_field import MetadataField
+from combo.data.fields.sequence_label_field import SequenceLabelField
+from combo.data.fields.text_field import TextField
+from combo.data.token_indexers import TokenIndexer
+from conllu import parser
+from combo.utils import checks, pad_sequence_to_length
+
+
+class UniversalDependenciesDatasetReader(DatasetReader):
+ def __init__(
+ self,
+ token_indexers: Dict[str, TokenIndexer] = None,
+ lemma_indexers: Dict[str, TokenIndexer] = None,
+ features: List[str] = None,
+ targets: List[str] = None,
+ use_sem: bool = False,
+ **kwargs,
+ ) -> None:
+ super().__init__(token_indexers=token_indexers)
+ if features is None:
+ features = ["token", "char"]
+ if targets is None:
+ targets = ["head", "deprel", "upostag", "xpostag", "lemma", "feats"]
+
+ if "token" not in features and "char" not in features:
+ raise checks.ConfigurationError("There must be at least one ('char' or 'token') text-based feature!")
+
+ if "deps" in targets and not ("head" in targets and "deprel" in targets):
+ raise checks.ConfigurationError("Add 'head' and 'deprel' to targets when using 'deps'!")
+
+ intersection = set(features).intersection(set(targets))
+ if len(intersection) != 0:
+ raise checks.ConfigurationError(
+ "Features and targets cannot share elements! "
+ "Remove {} from either features or targets.".format(intersection)
+ )
+ self.use_sem = use_sem
+
+ # *.conllu readers configuration
+ fields = list(parser.DEFAULT_FIELDS)
+ fields[1] = "token" # use 'token' instead of 'form'
+ field_parsers = parser.DEFAULT_FIELD_PARSERS
+ # Do not make it nullable
+ field_parsers.pop("xpostag", None)
+ # Ignore parsing misc
+ field_parsers.pop("misc", None)
+ if self.use_sem:
+ fields = list(fields)
+ fields.append("semrel")
+ field_parsers["semrel"] = lambda line, i: line[i]
+ self.field_parsers = field_parsers
+ self.fields = tuple(fields)
+
+ self.__lemma_indexers = lemma_indexers
+ self.__targets = targets
+ self.__features = features
+ self.generate_labels = True
+ # Filter out not required token indexers to avoid
+ # Mismatched token keys ConfigurationError
+ for indexer_name in list(self.token_indexers.keys()):
+ if indexer_name not in self.features:
+ del self.token_indexers[indexer_name]
+
+ @property
+ def lemma_indexers(self) -> Dict[str, TokenIndexer]:
+ return self.__lemma_indexers
+
+ @lemma_indexers.setter
+ def lemma_indexers(self, value: Dict[str, TokenIndexer]):
+ self.__lemma_indexers = value
+
+ @property
+ def targets(self) -> List[str]:
+ return self.__targets
+
+ @targets.setter
+ def targets(self, value: List[str]):
+ self.__targets = value
+
+ @property
+ def features(self) -> List[str]:
+ return self.__features
+
+ @features.setter
+ def features(self, value: List[str]):
+ self.__features = value
+
+ @overrides
+ def _read(self) -> Iterable[Instance]:
+ file_path = [self.file_path] if len(self.file_path.split(",")) == 0 else self.file_path.split(",")
+
+ for conllu_file in file_path:
+ file = pathlib.Path(conllu_file)
+ assert conllu_file and file.exists(), f"File with path '{conllu_file}' does not exists!"
+ with file.open("r", encoding="utf-8") as f:
+ for annotation in conllu.parse_incr(f, fields=self.fields, field_parsers=self.field_parsers):
+ yield self.text_to_instance(annotation)
+
+ def __call__(self, file_path: str):
+ self.file_path = file_path
+ return self
+
+ def text_to_instance(self, tree: conllu.TokenList) -> Instance:
+ fields_: Dict[str, Field] = {}
+ tree_tokens = [t for t in tree if isinstance(t["id"], int)]
+ tokens = [_Token(t["token"],
+ pos_=t.get("upostag"),
+ tag_=t.get("xpostag"),
+ lemma_=t.get("lemma"),
+ feats_=t.get("feats"))
+ for t in tree_tokens]
+
+ # features
+ text_field = TextField(tokens, self.token_indexers)
+ fields_["sentence"] = text_field
+
+ # targets
+ if self.generate_labels:
+ for target_name in self.targets:
+ if target_name != "sent":
+ target_values = [t[target_name] for t in tree_tokens]
+ if target_name == "lemma":
+ target_values = [TokenizerToken(v) for v in target_values]
+ fields_[target_name] = TextField(target_values, self.lemma_indexers)
+ elif target_name == "feats":
+ target_values = self._feat_values(tree_tokens)
+ fields_[target_name] = fields.SequenceMultiLabelField(target_values,
+ self._feats_indexer,
+ self._feats_as_tensor_wrapper,
+ text_field,
+ label_namespace="feats_labels")
+ elif target_name == "head":
+ target_values = [0 if v == "_" else int(v) for v in target_values]
+ fields_[target_name] = SequenceLabelField(target_values, text_field,
+ label_namespace=target_name + "_labels")
+ elif target_name == "deps":
+ # Graphs require adding ROOT (AdjacencyField uses sequence length from TextField).
+ text_field_deps = TextField([_Token("ROOT")] + copy.deepcopy(tokens), self._token_indexers)
+ enhanced_heads: List[Tuple[int, int]] = []
+ enhanced_deprels: List[str] = []
+ for idx, t in enumerate(tree_tokens):
+ t_deps = t["deps"]
+ if t_deps and t_deps != "_":
+ for rel, head in t_deps:
+ # EmoryNLP skips the first edge, if there are two edges between the same
+ # nodes. Thanks to that one is in a tree and another in a graph.
+ # This snippet follows that approach.
+ if enhanced_heads and enhanced_heads[-1] == (idx, head):
+ enhanced_heads.pop()
+ enhanced_deprels.pop()
+ enhanced_heads.append((idx, head))
+ enhanced_deprels.append(rel)
+ fields_["enhanced_heads"] = AdjacencyField(
+ indices=enhanced_heads,
+ sequence_field=text_field_deps,
+ label_namespace="enhanced_heads_labels",
+ padding_value=0,
+ )
+ fields_["enhanced_deprels"] = AdjacencyField(
+ indices=enhanced_heads,
+ sequence_field=text_field_deps,
+ labels=enhanced_deprels,
+ # Label namespace matches regular tree parsing.
+ label_namespace="enhanced_deprel_labels",
+ padding_value=0,
+ )
+ else:
+ # TODO: co robic gdy nie ma xpostag?
+ if all([t is None for t in target_values]):
+ continue
+ fields_[target_name] = SequenceLabelField(target_values, text_field,
+ label_namespace=target_name + "_labels")
+
+ # Restore feats fields to string representation
+ # parser.serialize_field doesn't handle key without value
+ for token in tree:
+ if "feats" in token:
+ feats = token["feats"]
+ if feats:
+ feats_values = []
+ for k, v in feats.items():
+ feats_values.append('='.join((k, v)) if v else k)
+ field = "|".join(feats_values)
+ else:
+ field = "_"
+ token["feats"] = field
+
+ # metadata
+ fields_["metadata"] = MetadataField({"input": tree,
+ "field_names": self.fields,
+ "tokens": tokens})
+
+ return Instance(fields_)
+
+ @staticmethod
+ def _feat_values(tree: List[Dict[str, Any]]):
+ features = []
+ for token in tree:
+ token_features = []
+ if token["feats"] is not None:
+ for feat, value in token["feats"].items():
+ if feat in ["_", "__ROOT__"]:
+ pass
+ else:
+ # Handle case where feature is binary (doesn't have associated value)
+ if value:
+ token_features.append(feat + "=" + value)
+ else:
+ token_features.append(feat)
+ features.append(token_features)
+ return features
+
+ @staticmethod
+ def _feats_as_tensor_wrapper(field: fields.SequenceMultiLabelField):
+ def as_tensor(padding_lengths):
+ desired_num_tokens = padding_lengths["num_tokens"]
+ assert len(field._indexed_multi_labels) > 0
+ classes_count = len(field._indexed_multi_labels[0])
+ default_value = [0.0] * classes_count
+ padded_tags = pad_sequence_to_length(field._indexed_multi_labels, desired_num_tokens,
+ lambda: default_value)
+ tensor = torch.tensor(padded_tags, dtype=torch.long)
+ return tensor
+
+ return as_tensor
+
+ @staticmethod
+ def _feats_indexer(vocab: Vocabulary):
+ label_namespace = "feats_labels"
+ vocab_size = vocab.get_vocab_size(label_namespace)
+ slices = get_slices_if_not_provided(vocab)
+
+ def _m_from_n_ones_encoding(multi_label: List[str], sentence_length: int) -> List[int]:
+ one_hot_encoding = [0] * vocab_size
+ for cat, cat_indices in slices.items():
+ if cat not in ["__PAD__", "_"]:
+ label_from_cat = [label for label in multi_label if cat == label.split("=")[0]]
+ if label_from_cat:
+ label_from_cat = label_from_cat[0]
+ index = vocab.get_token_index(label_from_cat, label_namespace)
+ else:
+ # Get Cat=None index
+ index = vocab.get_token_index(cat + "=None", label_namespace)
+ one_hot_encoding[index] = 1
+ return one_hot_encoding
+
+ return _m_from_n_ones_encoding
+
+
+def get_slices_if_not_provided(vocab: data.Vocabulary):
+ if hasattr(vocab, "slices"):
+ return vocab.slices
+
+ if "feats_labels" in vocab.get_namespaces():
+ idx2token = vocab.get_index_to_token_vocabulary("feats_labels")
+ for _, v in dict(idx2token).items():
+ if v not in ["_", "__PAD__"]:
+ empty_value = v.split("=")[0] + "=None"
+ vocab.add_token_to_namespace(empty_value, "feats_labels")
+
+ slices = {}
+ for idx, name in vocab.get_index_to_token_vocabulary("feats_labels").items():
+ # There are 2 types features: with (Case=Acc) or without assigment (None).
+ # Here we group their indices by name (before assigment sign).
+ name = name.split("=")[0]
+ if name in slices:
+ slices[name].append(idx)
+ else:
+ slices[name] = [idx]
+ vocab.slices = slices
+ return vocab.slices
diff --git a/tests/data/data_readers/test_universal_dependencies_dataset_reader.py b/tests/data/data_readers/test_universal_dependencies_dataset_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..a3c3d4ba3774546608a4d303f351ddd9081fb634
--- /dev/null
+++ b/tests/data/data_readers/test_universal_dependencies_dataset_reader.py
@@ -0,0 +1,29 @@
+import unittest
+
+from combo.data import UniversalDependenciesDatasetReader
+
+
+class UniversalDependenciesDatasetReaderTest(unittest.TestCase):
+ def test_read_all_tokens(self):
+ t = UniversalDependenciesDatasetReader()
+ tokens = [token for token in t('tl_trg-ud-test.conllu')]
+ self.assertEqual(len(tokens), 128)
+
+ def test_read_text(self):
+ t = UniversalDependenciesDatasetReader()
+ token = next(iter(t('tl_trg-ud-test.conllu')))
+ self.assertListEqual([str(t) for t in token['sentence'].tokens],
+ ['Gumising', 'ang', 'bata', '.'])
+
+ def test_read_deprel(self):
+ t = UniversalDependenciesDatasetReader()
+ token = next(iter(t('tl_trg-ud-test.conllu')))
+ self.assertListEqual(token['deprel'].labels,
+ ['root', 'case', 'nsubj', 'punct'])
+
+ def test_read_upostag(self):
+ t = UniversalDependenciesDatasetReader()
+ token = next(iter(t('tl_trg-ud-test.conllu')))
+ self.assertListEqual(token['upostag'].labels,
+ ['VERB', 'ADP', 'NOUN', 'PUNCT'])
+
diff --git a/tests/data/data_readers/tl_trg-ud-test.conllu b/tests/data/data_readers/tl_trg-ud-test.conllu
new file mode 100644
index 0000000000000000000000000000000000000000..4feec58e0ff99c3ee98739866d7e8ad8b083bba1
--- /dev/null
+++ b/tests/data/data_readers/tl_trg-ud-test.conllu
@@ -0,0 +1,1343 @@
+# sent_id = schachter-otanes-60-0
+# text = Gumising ang bata.
+# text_en = The child awoke.
+1 Gumising gising VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=awakened
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bata bata NOUN _ _ 1 nsubj _ Gloss=child|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-60-1
+# text = Ginising ng ingay ang bata.
+# text_en = A noise awakened the child.
+1 Ginising gising VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=awakened
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 ingay ingay NOUN _ _ 1 obj:agent _ Gloss=noise
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 bata bata NOUN _ _ 1 nsubj:pass _ Gloss=child|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-60-2
+# text = Sinulat ko ang liham.
+# text_en = I wrote the letter.
+1 Sinulat sulat VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=written
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 1 obj:agent _ Gloss=I
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 liham liham NOUN _ _ 1 nsubj:pass _ Gloss=letter|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-60-3
+# text = Sinulatan ko ang titser.
+# text_en = I wrote to the teacher.
+1 Sinulatan sulat VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=written
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 1 obj:agent _ Gloss=I
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 titser titser NOUN _ _ 1 nsubj:pass _ Gloss=teacher|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-61-2
+# text = Dumarating na ang bus.
+# text_en = The bus is coming now.
+1 Dumarating dating VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=coming
+2 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 bus bus NOUN _ Foreign=Yes 1 nsubj _ Gloss=bus|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-61-3
+# text = Artista ang babae.
+# text_en = The woman is an actress.
+1 Artista artista NOUN _ _ 0 root _ Gloss=actress
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 babae babae NOUN _ _ 1 nsubj _ Gloss=woman|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-61-4
+# text = Maganda ang babae.
+# text_en = The woman is beautiful.
+1 Maganda ganda ADJ _ Degree=Pos 0 root _ Gloss=beautiful
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 babae babae NOUN _ _ 1 nsubj _ Gloss=woman|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-61-5
+# text = Yumaman ang babae.
+# text_en = The woman got rich.
+1 Yumaman yaman VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=got-rich
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 babae babae NOUN _ _ 1 nsubj _ Gloss=woman|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-62-0
+# text = Artista ang yumaman.
+# text_en = The one who got rich is an actress.
+1 Artista artista NOUN _ _ 0 root _ Gloss=actress
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 yumaman yaman VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 csubj _ Gloss=got-rich|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-62-1
+# text = Artista ang nagluto ng pagkain.
+# text_en = The one who cooked some food is an actress.
+1 Artista artista NOUN _ _ 3 nsubj _ Gloss=actress
+2 ang ang ADP _ Case=Nom 1 case _ Gloss=the
+3 nagluto luto VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=cooked
+4 ng ng ADP _ Case=Gen 5 case _ _
+5 pagkain pagkain NOUN _ _ 3 obj _ Gloss=food|SpaceAfter=No
+6 . . PUNCT _ _ 3 punct _ _
+
+# sent_id = schachter-otanes-64-0
+# text = Siya ang Amerikano.
+# text_en = He's the American.
+1 Siya siya PRON _ Case=Nom|Number=Sing|Person=3|PronType=Prs 0 root _ Gloss=he/she
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 Amerikano amerikano NOUN _ _ 1 nsubj _ Gloss=American|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-1
+# text = Iyan ang bahay.
+# text_en = That's the house.
+1 Iyan iyan PRON _ Case=Nom|Deixis=Med|Number=Sing|PronType=Dem 0 root _ Gloss=that
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bahay bahay NOUN _ _ 1 obj _ Gloss=house|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-2
+# text = Si Juan ang bunso.
+# text_en = Juan's the youngest child.
+1 Si si ADP _ Case=Nom 2 case _ Gloss=the
+2 Juan Juan PROPN _ Gender=Masc 0 root _ Gloss=Juan
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 bunso bunso NOUN _ _ 2 nsubj _ Gloss=youngest|SpaceAfter=No
+5 . . PUNCT _ _ 2 punct _ _
+
+# sent_id = schachter-otanes-64-3
+# text = Isda ang bakalaw.
+# text_en = The cod is a fish.
+1 Isda isda NOUN _ _ 0 root _ Gloss=fish
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bakalaw bakalaw NOUN _ _ 1 nsubj _ Gloss=cod|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-4
+# text = Isda ang pagkain niya.
+# text_en = His meal is some fish.
+1 Isda isda NOUN _ _ 0 root _ Gloss=fish
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 pagkain pagkain NOUN _ _ 1 nsubj _ Gloss=food
+4 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 3 nmod:poss _ Gloss=his/her|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-5
+# text = Isda ang paborito niya.
+# text_en = His favorite is fish.
+1 Isda isda NOUN _ _ 0 root _ Gloss=fish
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 paborito paborito NOUN _ _ 1 nsubj _ Gloss=favorite
+4 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 3 nmod:poss _ Gloss=his/her|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-6
+# text = Bato ang bahay.
+# text_en = The house is stone.
+1 Bato bato NOUN _ _ 0 root _ Gloss=stone
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bahay bahay NOUN _ _ 1 nsubj _ Gloss=house|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-64-7
+# text = Bago ang bahay.
+# text_en = The house is new.
+1 Bago bago ADJ _ Degree=Pos 0 root _ Gloss=new
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bahay bahay NOUN _ _ 1 nsubj _ Gloss=house|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-0
+# text = Bagong-bago ang bahay.
+# text_en = The house is very new.
+1 Bagong bago ADJ _ Degree=Pos|Link=Yes 3 compound:redup _ Gloss=new|SpaceAfter=No
+2 - - PUNCT _ _ 3 punct _ SpaceAfter=No
+3 bago bago ADJ _ Degree=Pos 0 root _ Gloss=new
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 bahay bahay NOUN _ _ 3 nsubj _ Gloss=house|SpaceAfter=No
+6 . . PUNCT _ _ 3 punct _ _
+
+# sent_id = schachter-otanes-65-2
+# text = Mabuti ang panahon.
+# text_en = The weather is good.
+1 Mabuti buti ADJ _ Degree=Pos 0 root _ Gloss=good
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 panahon panahon NOUN _ _ 1 nsubj _ Gloss=weather|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-3
+# text = Matamis ang kendi.
+# text_en = The candy is sweet.
+1 Matamis tamis ADJ _ Degree=Pos 0 root _ Gloss=sweet
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 kendi kendi NOUN _ _ 1 nsubj _ Gloss=candy|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-4
+# text = Pagod ang bata.
+# text_en = The child is tired.
+1 Pagod pagod ADJ _ Degree=Pos 0 root _ Gloss=tired
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 bata bata NOUN _ _ 1 nsubj _ Gloss=child|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-5
+# text = Nasa kusina ang mesa.
+# text_en = The table is in the kitchen.
+1 Nasa nasa ADP _ _ 2 case _ Gloss=in
+2 kusina kusina NOUN _ _ 0 root _ Gloss=kitchen
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 mesa mesa NOUN _ _ 2 nsubj _ Gloss=table|SpaceAfter=No
+5 . . PUNCT _ _ 2 punct _ _
+
+# sent_id = schachter-otanes-65-6
+# text = Para sa bata ang laruan.
+# text_en = The toy is for the child.
+1 Para para ADP _ _ 3 case _ Gloss=for
+2 sa sa ADP _ Case=Dat 3 case _ Gloss=to
+3 bata bata NOUN _ _ 0 root _ Gloss=child
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 laruan laruan NOUN _ _ 3 nsubj _ Gloss=toy|SpaceAfter=No
+6 . . PUNCT _ _ 3 punct _ _
+
+# sent_id = schachter-otanes-65-7
+# text = Tungkol sa giyera ang kuwento.
+# text_en = The story is about the war.
+1 Tungkol tungkol ADP _ _ 3 case _ Gloss=about
+2 sa sa ADP _ Case=Dat 3 case _ Gloss=to
+3 giyera giyera NOUN _ _ 0 root _ Gloss=war
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 kuwento kuwento NOUN _ _ 3 nsubj _ Gloss=story|SpaceAfter=No
+6 . . PUNCT _ _ 3 punct _ _
+
+# sent_id = schachter-otanes-65-8
+# text = May gulayan ang babae.
+# text_en = The woman has a vegetable garden.
+1 May may VERB _ Polarity=Pos 0 root _ Gloss=exist
+2 gulayan gulayan NOUN _ _ 1 obj _ Gloss=vegetable-garden
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 babae babae NOUN _ _ 1 nsubj _ Gloss=woman|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-9
+# text = Kailangan ko ang kuwalta.
+# text_en = I need the money.
+1 Kailangan kailangan VERB _ Aspect=Hab 0 root _ Gloss=necessary
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 1 obj _ Gloss=I
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 kuwalta kuwalta NOUN _ _ 1 nsubj _ Gloss=money|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-65-10
+# text = Sa istudyante ang libro.
+# text_en = The book belongs to the student.
+1 Sa sa ADP _ Case=Dat 2 case _ Gloss=to
+2 istudyante istudyante NOUN _ _ 0 root _ Gloss=student
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 libro libro NOUN _ _ 2 nsubj _ Gloss=book|SpaceAfter=No
+5 . . PUNCT _ _ 2 punct _ _
+
+# sent_id = schachter-otanes-67-0
+# text = Nagluto ng pagkain ang nanay.
+# text_en = Mother cooked some food.
+1 Nagluto luto VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=cooked
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-1
+# text = Nagluto na ng pagkain ang nanay.
+# text_en = Mother has cooked some food.
+1 Nagluto luto VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=cooked
+2 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+3 ng ng ADP _ Case=Gen 4 case _ _
+4 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+5 ang ang ADP _ Case=Nom 6 case _ Gloss=the
+6 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-2
+# text = Nagluto na ng pagkain ang nanay noong dumating ako.
+# text_en = Mother had cooked some food when I arrived.
+1 Nagluto luto VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=cooked
+2 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+3 ng ng ADP _ Case=Gen 4 case _ _
+4 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+5 ang ang ADP _ Case=Nom 6 case _ Gloss=the
+6 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother
+7 noong nang SCONJ _ _ 8 mark _ Gloss=when
+8 dumating dating VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 advcl _ Gloss=arrived
+9 ako ako PRON _ Case=Nom|Number=Sing|Person=1|PronType=Prs 8 nsubj _ Gloss=I|SpaceAfter=No
+10 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-3
+# text = Nagluluto ng pagkain ang nanay araw-araw.
+# text_en = Mother is cooking some food everyday.
+1 Nagluluto luto VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=cooking
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother
+6 araw araw NOUN _ _ 8 compound:redup _ Gloss=day|SpaceAfter=No
+7 - - PUNCT _ _ 8 punct _ SpaceAfter=No
+8 araw araw NOUN _ _ 1 obl _ Gloss=day|SpaceAfter=No
+9 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-4
+# text = Nagluluto na ng pagkain ang nanay.
+# text_en = Mother is cooking some food now.
+1 Nagluluto luto VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=cooking
+2 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+3 ng ng ADP _ Case=Gen 4 case _ _
+4 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+5 ang ang ADP _ Case=Nom 6 case _ Gloss=the
+6 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-5
+# text = Nagluluto ng pagkain ang nanay noong dumating ako.
+# text_en = Mother was cooking some food when I arrived.
+1 Nagluluto luto VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=cooking
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother
+6 noong nang SCONJ _ _ 7 mark _ Gloss=when
+7 dumating dating VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 advcl _ Gloss=arrived
+8 ako ako PRON _ Case=Nom|Number=Sing|Person=1|PronType=Prs 7 nsubj _ Gloss=I|SpaceAfter=No
+9 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-6
+# text = Magluluto ng pagkain ang nanay bukas.
+# text_en = Mother will cook some food tomorrow.
+1 Magluluto luto VERB _ Aspect=Prosp|Mood=Ind|Voice=Act 0 root _ Gloss=will-cook
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 pagkain pagkain NOUN _ _ 1 obj _ Gloss=food
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 nanay nanay NOUN _ _ 1 nsubj _ Gloss=mother
+6 bukas bukas ADV _ _ 1 advmod _ Gloss=tomorrow|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-67-7
+# text = Hindi pa nagluluto ng pagkain ang nanay.
+# text_en = Mother has not cooked any food yet.
+1 Hindi hindi PART _ Polarity=Neg 3 advmod _ Gloss=not
+2 pa pa ADV _ _ 3 advmod _ Gloss=yet
+3 nagluluto luto VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=cooking
+4 ng ng ADP _ Case=Gen 5 case _ _
+5 pagkain pagkain NOUN _ _ 3 obj _ Gloss=food
+6 ang ang ADP _ Case=Nom 7 case _ Gloss=the
+7 nanay nanay NOUN _ _ 3 nsubj _ Gloss=mother|SpaceAfter=No
+8 . . PUNCT _ _ 3 punct _ _
+
+# sent_id = schachter-otanes-69-1
+# text = Bumabasa ng diyaryo ang titser.
+# text_en = The teacher is reading a newspaper.
+1 Bumabasa basa VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=reading
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 diyaryo diyaryo NOUN _ _ 1 obj _ Gloss=newspaper
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 titser titser NOUN _ _ 1 nsubj _ Gloss=teacher|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-69-2
+# text = Binabasa ng titser ang diyaryo.
+# text_en = The teacher is reading the newspaper.
+1 Binabasa basa VERB _ Aspect=Imp|Mood=Ind|Voice=Pass 0 root _ Gloss=being-read
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 titser titser NOUN _ _ 1 obj:agent _ Gloss=teacher
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 diyaryo diyaryo NOUN _ _ 1 nsubj:pass _ Gloss=newspaper|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-69-3
+# text = Naghihilik ang lolo.
+# text_en = Grandfather is snoring.
+1 Naghihilik hilik VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=snoring
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 lolo lolo NOUN _ _ 1 nsubj _ Gloss=grandfather|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-69-4
+# text = Humihinga pa ang pasyente.
+# text_en = The patient is still breathing.
+1 Humihinga hinga VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=breathing
+2 pa pa ADV _ _ 1 advmod _ Gloss=still
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 pasyente pasyente NOUN _ _ 1 nsubj _ Gloss=patient|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-0
+# text = Nauuhaw ang sanggol.
+# text_en = The baby is getting thirsty.
+1 Nauuhaw uhaw VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=getting-thirsty
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 sanggol sanggol NOUN _ _ 1 nsubj _ Gloss=baby|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-1
+# text = Tumatanda ang aso.
+# text_en = The dog is growing old.
+1 Tumatanda magtanda VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=getting-older
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 aso aso NOUN _ _ 1 nsubj _ Gloss=dog|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-2
+# text = Ibinigay ng titser sa istudyante ang premyo.
+# text_en = The teacher gave the student the prize.
+1 Ibinigay bigay VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=given
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 titser titser NOUN _ _ 1 obj:agent _ Gloss=teacher
+4 sa sa ADP _ Case=Dat 5 case _ Gloss=to
+5 istudyante istudyante NOUN _ _ 1 obl _ Gloss=student
+6 ang ang ADP _ Case=Nom 7 case _ Gloss=the
+7 premyo premyo NOUN _ _ 1 nsubj:pass _ Gloss=prize|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-3
+# text = Binigyan ng titser ng premyo ang istudyante.
+# text_en = The teacher gave the student a prize.
+1 Binigyan bigay VERB _ Aspect=Perf|Mood=Ind|Voice=Lfoc 0 root _ Gloss=given
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 titser titser NOUN _ _ 1 obj:agent _ Gloss=teacher
+4 ng ng ADP _ Case=Gen 3 case _ _
+5 premyo premyo NOUN _ _ 1 iobj _ Gloss=prize
+6 ang ang ADP _ Case=Nom 7 case _ Gloss=the
+7 istudyante istudyante NOUN _ _ 1 nsubj:lfoc _ Gloss=student|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-4
+# text = Binili ng mangingisda ang bangka.
+# text_en = The fisherman bought the boat.
+1 Binili bili VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=bought
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 mangingisda mangingisda NOUN _ _ 1 obj:agent _ Gloss=fisherman
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 bangka bangka NOUN _ _ 1 nsubj:pass _ Gloss=boat|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-5
+# text = Sinalpok ng alon ang bangka.
+# text_en = The wave struck the boat.
+1 Sinalpok salpok VERB _ Aspect=Perf|Mood=Ind|Voice=Lfoc 0 root _ Gloss=struck
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 alon alon NOUN _ _ 1 obj:agent _ Gloss=wave
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 bangka bangka NOUN _ _ 1 nsubj:lfoc _ Gloss=boat|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-6
+# text = Bumili ng bangka ang mangingisda.
+# text_en = The fisherman bought a boat.
+1 Bumili bili VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=bought
+2 ng ng ADP _ Case=Gen 3 case _ _
+3 bangka bangka NOUN _ _ 1 obj _ Gloss=boat
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 mangingisda mangingisda NOUN _ _ 1 nsubj _ Gloss=fisherman|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-70-7
+# text = Sumalpok sa bangka ang alon.
+# text_en = The wave struck the boat.
+1 Sumalpok salpok VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=struck
+2 sa sa ADP _ Case=Dat 3 case _ Gloss=to
+3 bangka bangka NOUN _ _ 1 obl _ Gloss=boat
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the
+5 alon alon NOUN _ _ 1 nsubj _ Gloss=wave|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-71-0
+# text = Binalikan niya ang Maynila.
+# text_en = He returned to Manila.
+1 Binalikan balik VERB _ Aspect=Perf|Mood=Ind|Voice=Lfoc 0 root _ Gloss=returned
+2 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 1 obj:agent _ Gloss=he/she
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 Maynila Maynila PROPN _ _ 1 nsubj:lfoc _ Gloss=Manila|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-71-1
+# text = Tinakasan niya ang bilangguan.
+# text_en = He escaped from the prison.
+1 Tinakasan takas VERB _ Aspect=Perf|Mood=Ind|Voice=Lfoc 0 root _ Gloss=escaped
+2 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 1 obj:agent _ Gloss=he/she
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the
+4 bilangguan bilangguan NOUN _ _ 1 nsubj:lfoc _ Gloss=prison|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-95-10
+# text = Mansanas ito.
+# text_en = This is an apple.
+1 Mansanas mansanas NOUN _ _ 0 root _ Gloss=apple
+2 ito ito PRON _ Case=Nom|Deixis=Prox|Number=Sing|PronType=Dem 1 det _ Gloss=this|SpaceAfter=No
+3 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-97-0
+# text = Biyudo ang maestro.
+# text_en = The teacher is a widower.
+1 Biyudo biyudo NOUN _ Gender=Masc 0 root _ Gloss=widower
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 maestro maestro NOUN _ Gender=Masc 1 nsubj _ Gloss=teacher|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-97-1
+# text = Biyuda ang maestra.
+# text_en = The teacher is a widow.
+1 Biyuda biyuda NOUN _ Gender=Fem 0 root _ Gloss=widow
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 maestra maestra NOUN _ Gender=Fem 1 nsubj _ Gloss=teacher|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-197-0
+# text = Komika si Linda.
+# text_en = Linda is funny.
+1 Komika komika ADJ _ Degree=Pos|Gender=Fem 0 root _ Gloss=funny
+2 si si ADP _ Case=Nom 3 case _ Gloss=the
+3 Linda Linda PROPN _ Gender=Fem 1 nsubj _ Gloss=Linda|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = devos-71-0
+# text = Nakita kita.
+# text_en = I saw you.
+1 Nakita kita VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=seen
+2 kita ako PRON _ Case=Nom|Clusivity=In|Number=Dual|Person=1|PronType=Prs 1 nsubj:pass _ Gloss=I|SpaceAfter=No
+3 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = schachter-otanes-73-0
+# text = Kinain ang pagkain.
+# text_en = The food was eaten.
+1 Kinain kain VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=ate
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the
+3 pagkain pagkain NOUN _ _ 1 nsubj _ Gloss=food|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ _
+
+# sent_id = shopen-1.8
+# text = Mga guro sila.
+# gloss = PL teacher they
+# text_en = They are teachers
+1 Mga mga DET _ Number=Plur|PronType=Ind 2 det _ Gloss=PLUR
+2 guro guro NOUN _ _ 0 root _ Gloss=teacher
+3 sila sila PRON _ Case=Nom|Number=Plur|Person=3|PronType=Prs 2 nsubj _ Gloss=they|SpaceAfter=No
+4 . . PUNCT _ _ 2 punct _ Gloss=.
+
+# sent_id = shopen-1.12
+# text = Malapit sa babae ang bata.
+# gloss = near OBLIQ woman TOP child
+# text_en = The child is near the woman
+1 Malapit malapit ADJ _ Degree=Pos 0 root _ Gloss=near
+2 sa sa ADP _ Case=Dat 3 case _ Gloss=to
+3 babae babae NOUN _ _ 1 obl _ Gloss=woman
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 bata bata NOUN _ _ 1 nsubj _ Gloss=child|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.13
+# text = Malapit kay Maria si Juan.
+# gloss = near OBLIQ Maria TOP Juan
+# text_en = Juan is near Maria
+1 Malapit malapit ADJ _ Degree=Pos 0 root _ Gloss=near
+2 kay kay ADP _ Case=Dat 3 case _ Gloss=to
+3 Maria Maria PROPN _ Gender=Fem 1 obl _ Gloss=Maria
+4 si si ADP _ Case=Nom 5 case _ Gloss=the
+5 Juan Juan PROPN _ Gender=Masc 1 nsubj _ Gloss=Juan|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.14
+# text = Malapit sa Maynila ang Pasay City.
+# gloss = near OBL Manila TOP Pasay City
+# text_en = Pasay City is near Manila
+1 Malapit malapit ADJ _ Degree=Pos 0 root _ Gloss=near
+2 sa sa ADP _ Case=Dat 3 case _ Gloss=to
+3 Maynila Maynila PROPN _ _ 1 obl _ Gloss=Manila
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 Pasay Pasay PROPN _ _ 1 nsubj _ Gloss=Pasay
+6 City City PROPN _ _ 5 flat _ Gloss=City|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.16a
+# text = Pinanood ko ang mga sumasayaw.
+# gloss = watch I TOP PL were.dancing
+# text_en = I watched the ones who were dancing
+# http://www.seasite.niu.edu/Tagalog/tagalog_verbs.htm
+1 Pinanood nood VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=watch
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 1 nsubj _ Gloss=me
+3 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+4 mga mga DET _ Number=Plur|PronType=Ind 5 det _ Gloss=PLUR
+5 sumasayaw sayaw VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 obj _ Gloss=were-dancing|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.16b
+# text = Sumasayaw ang mga tao.
+# gloss = were.dancing TOP PL person
+# text_en = The people were dancing
+1 Sumasayaw sayaw VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=were-dancing
+2 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+3 mga mga DET _ Number=Plur|PronType=Ind 4 det _ Gloss=PLUR
+4 tao tao NOUN _ _ 1 nsubj _ Gloss=person|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.24
+# text = Nagtatrabaho ang lalaki.
+# gloss = is.working TOP man
+# text_en = The man is working
+1 Nagtatrabaho trabaho VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=working|MGloss=is.working
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 lalaki lalaki NOUN _ _ 1 nsubj _ Gloss=man|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.25
+# text = Lalaki ang nagtatrabaho.
+# gloss = man TOP is.working
+# text_en = The one who is working is a man
+1 Lalaki lalaki NOUN _ _ 0 root _ Gloss=man
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 nagtatrabaho trabaho VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 nsubj _ Gloss=working|MGloss=is.working|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.55a
+# text = Hindi ko siya nakita.
+# gloss = not I(AG) him(TOP) saw
+# text_en = I didn't see him
+1 Hindi hindi PART _ Polarity=Neg 4 advmod _ Gloss=not
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 4 nsubj _ Gloss=me
+3 siya siya PRON _ Case=Nom|Number=Sing|Person=3|PronType=Prs 4 obj _ Gloss=he
+4 nakita kita VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=saw|SpaceAfter=No
+5 . . PUNCT _ _ 4 punct _ Gloss=.
+
+# sent_id = shopen-1.55b
+# text = Hindi nakita ni Pedro si Juan.
+# gloss = not saw AG Pedro TOP Juan
+# text_en = Pedro didn't see Juan
+1 Hindi hindi PART _ Polarity=Neg 2 advmod _ Gloss=not
+2 nakita kita VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=saw
+3 ni ni ADP _ Case=Gen 4 case _ Gloss=DET
+4 Pedro Pedro PROPN _ Gender=Masc 2 nsubj _ Gloss=Pedro
+5 si si ADP _ Case=Nom 6 case _ Gloss=the
+6 Juan Juan PROPN _ Gender=Masc 2 obj _ Gloss=Juan|SpaceAfter=No
+7 . . PUNCT _ _ 2 punct _ Gloss=.
+
+# sent_id = shopen-1.63
+# text = Inahit ni John ang sarili niya.
+# gloss = shaved AG John TOP self his
+# text_en = John shaved himself
+1 Inahit ahit VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=shaved
+2 ni ni ADP _ Case=Gen 3 case _ Gloss=DET
+3 John John PROPN _ Gender=Masc 1 nsubj _ Gloss=John
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 sarili sarili PRON _ PronType=Prs|Reflex=Yes 1 obj _ Gloss=self
+6 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 5 nmod _ Gloss=him|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.64
+# text = Inahit ni John mismo si Bill.
+# gloss = shaved AG John EMPH TOP Bill
+# text_en = John himself shaved Bill
+1 Inahit ahit VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=shaved
+2 ni ni ADP _ Case=Gen 3 case _ Gloss=DET
+3 John John PROPN _ Gender=Masc 1 nsubj _ Gloss=John
+4 mismo mismo DET _ Gender=Masc|PronType=Emp 3 nmod _ Gloss=EMPH
+5 si si ADP _ Case=Nom 6 case _ Gloss=the
+6 Bill Bill PROPN _ Gender=Masc 1 obj _ Gloss=Bill|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.84
+# text = Sino ang batang pumunta sa tindahan?
+# gloss = who TOP child went OBL store
+# text_en = Who is the child who went to the store?
+1 Sino sino PRON _ Case=Nom|PronType=Int 0 root _ Gloss=who
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 batang bata NOUN _ Link=Yes 1 nsubj _ Gloss=child|MSeg=bata-ng|MGloss=child-LINK
+4 pumunta punta VERB _ Aspect=Perf|Mood=Ind|Voice=Act 3 acl:relcl _ Gloss=went
+5 sa sa ADP _ Case=Dat 6 case _ Gloss=to
+6 tindahan tindahan NOUN _ _ 4 obl _ Gloss=store|SpaceAfter=No
+7 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.89a
+# text = Umuulan ba?
+# gloss = is.raining Q
+# text_en = Is it raining?
+1 Umuulan ulan VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=is-raining
+2 ba ba PART _ PartType=Int 1 advmod _ Gloss=QUESTION|SpaceAfter=No
+3 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.89b
+# text = Oo.
+# gloss = yes
+# text_en = Yes
+1 Oo oo INTJ _ Polarity=Pos 0 root _ Gloss=yes|SpaceAfter=No
+2 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.89c
+# text = Hindi.
+# gloss = no
+# text_en = No
+1 Hindi hindi INTJ _ Polarity=Pos 0 root _ Gloss=no|SpaceAfter=No
+2 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.90a
+# text = Mayroon bang pagkain?
+# gloss = EXIST Q-LINK food
+# text_en = Is there any food?
+1 Mayroon mayroon VERB _ Polarity=Pos 0 root _ Gloss=exists
+2 bang ba PART _ Link=Yes|PartType=Int 1 advmod _ Gloss=QUESTION|MSeg=ba-ng|MGloss=QUESTION-LINK
+3 pagkain pagkain NOUN _ _ 1 nsubj _ Gloss=food|SpaceAfter=No
+4 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.90b
+# text = Mayroon.
+# gloss = EXIST
+# text_en = Yes (answer to existential questions)
+1 Mayroon mayroon VERB _ Polarity=Pos 0 root _ Gloss=exists|SpaceAfter=No
+2 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.90c
+# text = Wala.
+# gloss = NEG-EXIST
+# text_en = No (answer to existential questions)
+1 Wala wala VERB _ Polarity=Neg 0 root _ Gloss=does-not-exist|SpaceAfter=No
+2 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.92
+# text = Umuulan, ano?
+# gloss = is.raining CONFIRMATION TAG
+# text_en = It's raining, isn't it?
+1 Umuulan ulan VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=is-raining|SpaceAfter=No
+2 , , PUNCT _ _ 3 punct _ Gloss=,
+3 ano ano PART _ PartType=Int 1 advmod _ Gloss=CONFIRMATION-TAG|SpaceAfter=No
+4 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.98a
+# text = Napakaano nila?
+# gloss = very.what they
+# text_en = What are they very much like?
+# "Napaka-" is an intensifying prefix meaning "very". For example, "napakabuti" means "so very good".
+# We consider "napakaano" an adjective derived from the interrogative pronoun "ano" (what).
+1 Napakaano ano ADJ _ Degree=Pos|PronType=Int 0 root _ Gloss=very-much-like|MSeg=napaka-ano|MGloss=very-what
+2 nila sila PRON _ Case=Gen|Number=Plur|Person=3|PronType=Prs 1 nsubj _ Gloss=them|SpaceAfter=No
+3 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.98b
+# text = Napakataas nila.
+# gloss = very.tall they
+# text_en = They are very tall
+1 Napakataas taas ADJ _ Degree=Pos 0 root _ Gloss=very-tall|MSeg=napaka-taas|MGloss=very-tall
+2 nila sila PRON _ Case=Gen|Number=Plur|Person=3|PronType=Prs 1 nsubj _ Gloss=them|SpaceAfter=No
+3 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.98c
+# text = Nagano ka?
+# gloss = (PERF.ACTIVE)what you
+# text_en = What did you do?
+# We consider "ano" a verb, resulting from a conversion from the pronoun "ano" (what), acquiring verbal morphology.
+1 Nagano ano VERB _ Aspect=Perf|Mood=Ind|PronType=Int|Voice=Act 0 root _ Gloss=what-did|MSeg=nag-ano|MGloss=PERF+ACTIVE-what
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you|SpaceAfter=No
+3 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.98d
+# text = Nagsalita ka.
+# gloss = (PERF.ACTIVE)speak you
+# text_en = You spoke
+1 Nagsalita salita VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=spoke|MSeg=nag-salita|MGloss=PERF+ACTIVE-speak
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you|SpaceAfter=No
+3 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.98e
+# text = Naano ka?
+# gloss = (PERF.INVOL)what you
+# text_en = What happened to you?
+# We consider "ano" a verb, resulting from a conversion from the pronoun "ano" (what), acquiring verbal morphology.
+1 Naano ano VERB _ Aspect=Perf|Mood=Ind|PronType=Int|Voice=Pass 0 root _ Gloss=what-happened|MSeg=na-ano|MGloss=PERF+INVOL-what
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you|SpaceAfter=No
+3 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.98f
+# text = Natalisod ka.
+# gloss = (PERF.INVOL)trip you
+# text_en = You tripped
+1 Natalisod tisod VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=tripped|MSeg=na-talisod|MGloss=PERF+INVOL-trip
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you|SpaceAfter=No
+3 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.100
+# text = Ipinansulat ni John ng liham kay Mary ang makinilya.
+# gloss = wrote.with AG John OBJ letter IO Mary TOP typewriter
+# text_en = John wrote Mary a letter on the typewriter
+1 Ipinansulat sulat VERB _ Aspect=Perf|Mood=Ind|Voice=Ifoc 0 root _ Gloss=wrote-with
+2 ni ni ADP _ Case=Gen 3 case _ Gloss=DET
+3 John John PROPN _ Gender=Masc 1 obj:agent _ Gloss=John
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 liham liham NOUN _ _ 1 obj _ Gloss=letter
+6 kay kay ADP _ Case=Dat 7 case _ Gloss=to
+7 Mary Mary PROPN _ Gender=Fem 1 obl _ Gloss=Mary
+8 ang ang ADP _ Case=Nom 9 case _ Gloss=the|MGloss=PIV
+9 makinilya makinilya NOUN _ _ 1 nsubj:ifoc _ Gloss=typewriter|SpaceAfter=No
+10 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.109
+# text = Nasaan ang mga pinggan?
+# gloss = where TOP PL dish
+# text_en = Where are the dishes?
+1 Nasaan nasaan ADV _ PronType=Int 0 root _ Gloss=where
+2 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+3 mga mga DET _ Number=Plur|PronType=Ind 4 det _ Gloss=PLUR
+4 pinggan pinggan NOUN _ _ 1 nsubj _ Gloss=dish|SpaceAfter=No
+5 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.141
+# text = Itinanong ko kung nasaan sila.
+# gloss = asked I COMP where they
+# text_en = I asked where they were
+1 Itinanong tanong VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=asked
+2 ko ako PRON _ Case=Gen|Number=Sing|Person=1|PronType=Prs 1 nsubj _ Gloss=me
+3 kung kung SCONJ _ _ 4 mark _ Gloss=that
+4 nasaan nasaan ADV _ PronType=Int 1 ccomp _ Gloss=where
+5 sila sila PRON _ Case=Nom|Number=Plur|Person=3|PronType=Prs 4 nsubj _ Gloss=they|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.164a
+# text = Darating daw si Pedro bukas.
+# gloss = will.arrive they.say TOP Pedro tomorrow
+# text_en = They say Pedro will arrive tomorrow
+1 Darating dating VERB _ Aspect=Prog|Mood=Ind|Voice=Act 0 root _ Gloss=will-arrive
+2 daw daw PART _ PartType=Nfh 1 advmod _ Gloss=they-say
+3 si si ADP _ Case=Nom 4 case _ Gloss=the
+4 Pedro Pedro PROPN _ Gender=Masc 1 nsubj _ Gloss=Pedro
+5 bukas bukas ADV _ _ 1 advmod _ Gloss=tomorrow|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.164b
+# text = Hindi daw darating si Pedro bukas.
+# gloss = NEG they.say will.arrive TOP Pedro tomorrow
+# text_en = They say Pedro won't arrive tomorrow
+1 Hindi hindi PART _ Polarity=Neg 3 advmod _ Gloss=not
+2 daw daw PART _ PartType=Nfh 3 advmod _ Gloss=they-say
+3 darating dating VERB _ Aspect=Prog|Mood=Ind|Voice=Act 0 root _ Gloss=will-arrive
+4 si si ADP _ Case=Nom 5 case _ Gloss=the
+5 Pedro Pedro PROPN _ Gender=Masc 3 nsubj _ Gloss=Pedro
+6 bukas bukas ADV _ _ 3 advmod _ Gloss=tomorrow|SpaceAfter=No
+7 . . PUNCT _ _ 3 punct _ Gloss=.
+
+# sent_id = shopen-1.164c
+# text = Bakit daw hindi darating si Pedro bukas?
+# gloss = why they.say NEG will.arrive TOP Pedro tomorrow
+# text_en = Why do they say Pedro won't arrive tomorrow?
+1 Bakit bakit ADV _ PronType=Int 4 advmod _ Gloss=why
+2 daw daw PART _ PartType=Nfh 4 advmod _ Gloss=they-say
+3 hindi hindi PART _ Polarity=Neg 4 advmod _ Gloss=not
+4 darating dating VERB _ Aspect=Prog|Mood=Ind|Voice=Act 0 root _ Gloss=will-arrive
+5 si si ADP _ Case=Nom 6 case _ Gloss=the
+6 Pedro Pedro PROPN _ Gender=Masc 4 nsubj _ Gloss=Pedro
+7 bukas bukas ADV _ _ 4 advmod _ Gloss=tomorrow|SpaceAfter=No
+8 ? ? PUNCT _ _ 4 punct _ Gloss=?
+
+# sent_id = shopen-1.167a
+# text = Nagtatrabaho ka na ba daw roon?
+# gloss = are.working you now Q they.say there
+# text_en = Do they say you are working there now?
+1 Nagtatrabaho trabaho VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=working|MGloss=are.working
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you
+3 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+4 ba ba PART _ PartType=Int 1 advmod _ Gloss=QUESTION
+5 daw daw PART _ PartType=Nfh 1 advmod _ Gloss=they-say
+6 roon roon ADV _ Deixis=Remt|PronType=Dem 1 advmod _ Gloss=there|SpaceAfter=No
+7 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.167b
+# text = Nagtatrabaho ka na daw ba roon?
+# gloss = are.working you now they.say Q there
+# text_en = Do they say you are working there now?
+1 Nagtatrabaho trabaho VERB _ Aspect=Imp|Mood=Ind|Voice=Act 0 root _ Gloss=working|MGloss=are.working
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you
+3 na na ADV _ PronType=Dem 1 advmod _ Gloss=now
+4 daw daw PART _ PartType=Nfh 1 advmod _ Gloss=they-say
+5 ba ba PART _ PartType=Int 1 advmod _ Gloss=QUESTION
+6 roon roon ADV _ Deixis=Remt|PronType=Dem 1 advmod _ Gloss=there|SpaceAfter=No
+7 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.168
+# text = Hindi pa man lamang tuloy siya nakakapagalmusal.
+# gloss = NEG yet even just as.a.result he can.have.breakfast
+# text_en = As a result, he hasn't even been able to have breakfast yet
+1 Hindi hindi PART _ Polarity=Neg 7 advmod _ Gloss=not
+2 pa pa ADV _ _ 7 advmod _ Gloss=yet
+3 man man ADV _ _ 7 advmod _ Gloss=even
+4 lamang lamang ADV _ _ 7 advmod _ Gloss=just
+5 tuloy tuloy ADV _ _ 7 advmod _ Gloss=as-a-result
+6 siya siya PRON _ Case=Nom|Number=Sing|Person=3|PronType=Prs 7 nsubj _ Gloss=he
+7 nakakapagalmusal almusal VERB _ Aspect=Imp|Mood=Pot|Voice=Act 0 root _ Gloss=can-have-breakfast|SpaceAfter=No
+8 . . PUNCT _ _ 7 punct _ Gloss=.
+
+# sent_id = shopen-1.183a
+# text = Mayroong libro sa mesa.
+# gloss = EXIST/POSS-LINK book on table
+# text_en = There is a book on the table
+1 Mayroong mayroon VERB _ Link=Yes|Polarity=Pos 0 root _ Gloss=there-is|MSeg=mayroon-g|MGloss=exists-POSSESSIVE
+2 libro libro NOUN _ _ 1 obj _ Gloss=book
+3 sa sa ADP _ Case=Dat 4 case _ Gloss=to
+4 mesa mesa NOUN _ _ 1 obl _ Gloss=table|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.183b
+# text = Walang libro sa mesa.
+# gloss = EXIST/POSS(NEG)-LINK book on table
+# text_en = There isn't a book on the table
+1 Walang wala VERB _ Link=Yes|Polarity=Neg 0 root _ Gloss=there-is-not|MSeg=wala-ng|MGloss=does+not+exist-POSSESSIVE
+2 libro libro NOUN _ _ 1 obj _ Gloss=book
+3 sa sa ADP _ Case=Dat 4 case _ Gloss=to
+4 mesa mesa NOUN _ _ 1 obl _ Gloss=table|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.183c
+# text = Mayroong libro ang bata.
+# gloss = EXIST/POSS-LINK book TOP child
+# text_en = The child has a book
+1 Mayroong mayroon VERB _ Link=Yes|Polarity=Pos 0 root _ Gloss=there-is|MSeg=mayroon-g|MGloss=exists-POSSESSIVE
+2 libro libro NOUN _ _ 1 obj _ Gloss=book
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 bata bata NOUN _ _ 1 nsubj _ Gloss=child|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.183d
+# text = Walang libro ang bata.
+# gloss = EXIST/POSS(NEG)-LINK book TOP child
+# text_en = The child doesn't have a book
+1 Walang wala VERB _ Link=Yes|Polarity=Neg 0 root _ Gloss=there-is-not|MSeg=wala-ng|MGloss=does+not+exist-POSSESSIVE
+2 libro libro NOUN _ _ 1 obj _ Gloss=book
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 bata bata NOUN _ _ 1 nsubj _ Gloss=child|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.185a
+# text = Mabuti ba ang ani?
+# The actual example in Shopen (2007) is "Mabuti a ang ani?". According to Ann Tan, "a" is a typo and it should be "ba".
+# gloss = good Q TOP harvest
+# text_en = Is the harvest good?
+1 Mabuti mabuti ADJ _ Degree=Pos 0 root _ Gloss=good
+2 ba ba PART _ PartType=Int 1 advmod _ Gloss=QUESTION
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 ani ani NOUN _ _ 1 nsubj _ Gloss=harvest|SpaceAfter=No
+5 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.185b
+# text = Mabuti kaya ang ani?
+# gloss = good Q.SPECULATIVE TOP harvest
+# text_en = Do you suppose the harvest will be good?
+1 Mabuti mabuti ADJ _ Degree=Pos 0 root _ Gloss=good
+2 kaya kaya PART _ PartType=Int 1 advmod _ Gloss=QUESTION-SPECULATIVE
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 ani ani NOUN _ _ 1 nsubj _ Gloss=harvest|SpaceAfter=No
+5 ? ? PUNCT _ _ 1 punct _ Gloss=?
+
+# sent_id = shopen-1.185c
+# text = Mabuti sana ang ani.
+# gloss = good WISH TOP harvest
+# text_en = I hope the harvest is good
+1 Mabuti mabuti ADJ _ Degree=Pos 0 root _ Gloss=good
+2 sana sana PART _ PartType=Des 1 advmod _ Gloss=WISH
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 ani ani NOUN _ _ 1 nsubj _ Gloss=harvest|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-1.186a
+# text = Huwag kayong umalis.
+# gloss = NEG you-LINK leave
+# text_en = Don't leave
+1 Huwag huwag AUX _ Mood=Imp|Polarity=Neg 3 aux _ Gloss=do-not
+2 kayong kayo PRON _ Case=Nom|Link=Yes|Number=Plur|Person=2|PronType=Prs 3 nsubj _ Gloss=you|MSeg=kayo-ng|MGloss=you-LINK
+3 umalis alis VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=leave|SpaceAfter=No
+4 . . PUNCT _ _ 3 punct _ Gloss=.
+
+# sent_id = shopen-1.186b
+# text = Huwag siyang pumarito.
+# gloss = NEG he-LINK come.here
+# text_en = He shouldn't come here
+1 Huwag huwag AUX _ Mood=Imp|Polarity=Neg 3 aux _ Gloss=do-not
+2 siyang siya PRON _ Case=Nom|Link=Yes|Number=Sing|Person=3|PronType=Prs 3 nsubj _ Gloss=he|MSeg=siya-ng|MGloss=he-LINK
+3 pumarito parito VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=come-here|SpaceAfter=No
+4 . . PUNCT _ _ 3 punct _ Gloss=.
+
+# sent_id = shopen-3.111a
+# text = Magaalis ang babae ng bigas sa sako para sa bata.
+# gloss = AP-FUT-take.out PIV woman OBJ rice DIR sack for BEN child
+# text_en = The woman will take some rice out of a/the sack for a/the child
+# AP = actor pivot; PIV = pivot marker
+# http://www.seasite.niu.edu/Tagalog/tagalog_verbs.htm
+1 Magaalis alis VERB _ Aspect=Prog|Mood=Ind|Voice=Act 0 root _ Gloss=will-take-out|MSeg=mag-a-alis|MGloss=AP-FUT-take.out
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 babae babae NOUN _ _ 1 nsubj _ Gloss=woman
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 bigas bigas NOUN _ _ 1 obj _ Gloss=rice
+6 sa sa ADP _ Case=Dat 7 case _ Gloss=to
+7 sako sako NOUN _ _ 1 obl _ Gloss=sack
+8 para para ADP _ _ 10 case _ Gloss=for
+9 sa sa ADP _ Case=Dat 10 case _ Gloss=to
+10 bata bata NOUN _ _ 1 obl _ Gloss=child|SpaceAfter=No
+11 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.111b
+# text = Aalisin ng babae ang bigas sa sako para sa bata.
+# gloss = FUT-take.out-OP ACT woman PIV rice DIR sack for BEN child
+# text_en = A/the woman will take the rice out of a/the sack for a/the child
+# OP = object pivot; PIV = pivot marker
+1 Aalisin alis VERB _ Aspect=Prog|Mood=Ind|Voice=Pass 0 root _ Gloss=will-take-out|MSeg=a-alis-in|MGloss=FUT-take.out-OP
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET
+3 babae babae NOUN _ _ 1 obj:agent _ Gloss=woman
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 bigas bigas NOUN _ _ 1 nsubj:pass _ Gloss=rice
+6 sa sa ADP _ Case=Dat 7 case _ Gloss=to
+7 sako sako NOUN _ _ 1 obl _ Gloss=sack
+8 para para ADP _ _ 10 case _ Gloss=for
+9 sa sa ADP _ Case=Dat 10 case _ Gloss=to
+10 bata bata NOUN _ _ 1 obl _ Gloss=child|SpaceAfter=No
+11 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.111c
+# text = Aalisan ng babae ng bigas ang sako para sa bata.
+# gloss = FUT-take.out-DP ACT woman OBJ rice PIV sack BEN child
+# text_en = A/the woman will take some rice out of the sack for a/the child
+# DP = directional pivot; PIV = pivot marker
+1 Aalisan alis VERB _ Aspect=Prog|Mood=Ind|Voice=Lfoc 0 root _ Gloss=will-take-out|MSeg=a-alis-an|MGloss=FUT-take.out-DP
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET
+3 babae babae NOUN _ _ 1 obj:agent _ Gloss=woman
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 bigas bigas NOUN _ _ 1 iobj:patient _ Gloss=rice
+6 ang ang ADP _ Case=Nom 7 case _ Gloss=the|MGloss=PIV
+7 sako sako NOUN _ _ 1 nsubj:lfoc _ Gloss=sack
+8 para para ADP _ _ 10 case _ Gloss=for
+9 sa sa ADP _ Case=Dat 10 case _ Gloss=to
+10 bata bata NOUN _ _ 1 obl _ Gloss=child|SpaceAfter=No
+11 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.111d
+# text = Ipagaalis ng babae ng bigas sa sako ang bata.
+# gloss = BP-FUT-take.out ACT woman OBJ rice DIR sack PIV child
+# text_en = A/the woman will take some rice out of a/the sack for the child
+# BP = benefactive pivot; PIV = pivot marker
+1 Ipagaalis alis VERB _ Aspect=Prog|Mood=Ind|Voice=Bfoc 0 root _ Gloss=will-take-out|MSeg=Ipag-a-alis|MGloss=BP-FUT-take.out
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET
+3 babae babae NOUN _ _ 1 obj:agent _ Gloss=woman
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 bigas bigas NOUN _ _ 1 iobj:patient _ Gloss=rice
+6 sa sa ADP _ Case=Dat 7 case _ Gloss=to
+7 sako sako NOUN _ _ 1 obl _ Gloss=sack
+8 ang ang ADP _ Case=Nom 9 case _ Gloss=the|MGloss=PIV
+9 bata bata NOUN _ _ 1 nsubj:bfoc _ Gloss=child|SpaceAfter=No
+10 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.112a
+# text = Matalino ang lalaking bumasa ng diyaryo.
+# gloss = intelligent PIV man-LINK [AP]-read OBJ newspaper
+# text_en = The man who read a newspaper is intelligent
+1 Matalino matalino ADJ _ Degree=Pos 0 root _ Gloss=intelligent
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 lalaking lalaki NOUN _ Link=Yes 1 nsubj _ Gloss=man|MSeg=lalaki-ng|man-LINK
+4 bumasa basa VERB _ Aspect=Perf|Mood=Ind|Voice=Act 3 acl:relcl _ Gloss=read|MSeg=b[um]asa|MGloss=[AP]-read
+5 ng ng ADP _ Case=Gen 6 case _ Gloss=DET
+6 diyaryo diyaryo NOUN _ _ 4 obj _ Gloss=newspaper|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.112b
+# text = Interesante ang diyaryong binasa ng lalaki.
+# gloss = interesting PIV newspaper-LINK [PERF]-read-OP ACT man
+# text_en = The newspaper that the man read is interesting
+1 Interesante interesante ADJ _ Degree=Pos 0 root _ Gloss=interesting
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 diyaryong diyaryo NOUN _ Link=Yes 1 nsubj _ Gloss=newspaper|MSeg=diyaryo-ng|MGloss=newspaper-LINK
+4 binasa basa VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 3 acl:relcl _ Gloss=be-read|MSeg=b[in]asa-0|MGloss=[PERF]-read-OP
+5 ng ng ADP _ Case=Gen 6 case _ Gloss=DET
+6 lalaki lalaki NOUN _ _ 4 obj _ Gloss=man|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.114a
+# text = Susulat lahat ang mga bata ng mga liham.
+# source = Schachter and Otanes, 1972:147-8
+# gloss = AP-FUT-write all PIV PL child OBJ PL letter
+# text_en = All the children will write letters
+1 Susulat sulat VERB _ Aspect=Prog|Mood=Ind|Voice=Act 0 root _ Gloss=will-write|MSeg=0-su-sulat|MGloss=AP-FUT-write
+2 lahat lahat DET _ PronType=Tot 5 det _ Gloss=all
+3 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+4 mga mga DET _ Number=Plur|PronType=Ind 5 det _ Gloss=PLUR
+5 bata bata NOUN _ _ 1 nsubj _ Gloss=child
+6 ng ng ADP _ Case=Gen 8 case _ Gloss=DET
+7 mga mga DET _ Number=Plur|PronType=Ind 8 det _ Gloss=PLUR
+8 liham liham NOUN _ _ 1 obj _ Gloss=letter|SpaceAfter=No
+9 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.114b
+# text = Susulatin lahat ng mga bata ang mga liham.
+# source = Schachter and Otanes, 1972:147-8
+# gloss = FUT-write-OP all ACT PL child PIV PL letter
+# text_en = The/some children will write all the letters
+1 Susulatin sulat VERB _ Aspect=Prog|Mood=Ind|Voice=Pass 0 root _ Gloss=will-be-written|MSeg=su-sulat-in|MGloss=FUT-write-OP
+2 lahat lahat DET _ PronType=Tot 8 det _ Gloss=all
+3 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+4 mga mga DET _ Number=Plur|PronType=Ind 5 det _ Gloss=PLUR
+5 bata bata NOUN _ _ 1 obj:agent _ Gloss=child
+6 ang ang ADP _ Case=Nom 8 case _ Gloss=the|MGloss=PIV
+7 mga mga DET _ Number=Plur|PronType=Ind 8 det _ Gloss=PLUR
+8 liham liham NOUN _ _ 1 nsubj:pass _ Gloss=letter|SpaceAfter=No
+9 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.115a
+# text = Nagalala ang lolo sa kaniyang sarili.
+# source = Schachter, 1977:292
+# gloss = AP-worry PIV grandfather DIR his-LINK self
+# text_en = Grandfather worried about himself
+1 Nagalala alala VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=worried|MSeg=nag-alala|MGloss=AP-worry
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 lolo lolo NOUN _ _ 1 nsubj _ Gloss=grandfather
+4 sa sa ADP _ Case=Dat 6 case _ Gloss=to
+5 kaniyang siya PRON _ Case=Dat|Link=Yes|Number=Sing|Person=3|PronType=Prs 6 nmod _ Gloss=him|MSeg=kaniya-ng|MGloss=his-LINK
+6 sarili sarili PRON _ PronType=Prs|Reflex=Yes 1 obl _ Gloss=self|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.115b
+# text = Inalala ng lolo ang kaniyang sarili.
+# source = Schachter, 1977:292
+# gloss = PERF-worry-OP ACT grandfather PIV his-LINK self
+# text_en = Grandfather worried about himself
+1 Inalala alala VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=worried|MSeg=in-alala-0|MGloss=PERF-worry-OP
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET
+3 lolo lolo NOUN _ _ 1 obj:agent _ Gloss=grandfather
+4 ang ang ADP _ Case=Nom 6 case _ Gloss=the|MGloss=PIV
+5 kaniyang siya PRON _ Case=Dat|Link=Yes|Number=Sing|Person=3|PronType=Prs 6 nmod _ Gloss=him|MSeg=kaniya-ng|MGloss=his-LINK
+6 sarili sarili PRON _ PronType=Prs|Reflex=Yes 1 nsubj _ Gloss=self|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.117a
+# text = Iniabot niya sa bata ang kaniyang sariling larawan.
+# gloss = PERF-OP-hand he(ACT) DIR child PIV his-LINK self-LINK picture
+# text_en = He[i] handed the child[j] a picture of himself[i,j]
+1 Iniabot abot VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=handed|MSeg=in-i-abot|MGloss=PERF-OP-hand
+2 niya siya PRON _ Case=Gen|Number=Sing|Person=3|PronType=Prs 1 obj:agent _ Gloss=him|MGloss=he(ACT)
+3 sa sa ADP _ Case=Dat 4 case _ Gloss=to
+4 bata bata NOUN _ _ 1 obl _ Gloss=child
+5 ang ang ADP _ Case=Nom 8 case _ Gloss=the|MGloss=PIV
+6 kaniyang siya PRON _ Case=Dat|Link=Yes|Number=Sing|Person=3|PronType=Prs 7 nmod _ Gloss=him|MSeg=kaniya-ng|MGloss=his-LINK
+7 sariling sarili PRON _ Link=Yes|PronType=Prs|Reflex=Yes 8 nmod _ Gloss=self|MSeg=sarili-ng|MGloss=self-LINK
+8 larawan larawan NOUN _ _ 1 nsubj:pass _ Gloss=picture|SpaceAfter=No
+9 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.117b
+# text = Tumanggap ang Rosa ng sulat para sa bata sa kaniyang sarili.
+# gloss = [AP]-receive PIV Rosa OBJ letter BEN BEN child DIR her-LINK self
+# text_en = Rosa[i] received a letter for the child[j] from herself[i]/him-herself[j]
+1 Tumanggap tanggap VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=received|MSeg=t[um]anggap|MGloss=[AP]-receive
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 Rosa Rosa PROPN _ Gender=Fem 1 nsubj _ Gloss=Rosa
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 sulat sulat NOUN _ _ 1 obj _ Gloss=letter
+6 para para ADP _ _ 8 case _ Gloss=for|MGloss=BEN
+7 sa sa ADP _ Case=Dat 8 case _ Gloss=to
+8 bata bata NOUN _ _ 1 obl _ Gloss=child
+9 sa sa ADP _ Case=Dat 11 case _ Gloss=from
+10 kaniyang siya PRON _ Case=Dat|Link=Yes|Number=Sing|Person=3|PronType=Prs 11 nmod _ Gloss=him|MSeg=kaniya-ng|MGloss=his-LINK
+11 sarili sarili PRON _ PronType=Prs|Reflex=Yes 1 obl _ Gloss=self|SpaceAfter=No
+12 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.118a
+# text = Magbigay ka sa kaniya ng kape.
+# source = Schachter, 1977
+# gloss = AP-give you(PIV) DIR him OBJ coffee
+# text_en = Give him some coffee!
+1 Magbigay bigay VERB _ Mood=Imp|Voice=Act 0 root _ Gloss=give|MSeg=mag-bigay|MGloss=AP-give
+2 ka ikaw PRON _ Case=Nom|Number=Sing|Person=2|PronType=Prs 1 nsubj _ Gloss=you|MGloss=you(PIV)
+3 sa sa ADP _ Case=Dat 4 case _ Gloss=to|MGloss=DIR
+4 kaniya siya PRON _ Case=Dat|Number=Sing|Person=3|PronType=Prs 1 obl _ Gloss=him
+5 ng ng ADP _ Case=Gen 6 case _ Gloss=DET
+6 kape kape NOUN _ _ 1 obj _ Gloss=coffee|SpaceAfter=No
+7 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.118b
+# text = Bigyan mo siya ng kape.
+# source = Schachter, 1977
+# gloss = give-DP you(ACT) him(PIV) OBJ coffee
+# text_en = Give him some coffee!
+1 Bigyan bigay VERB _ Mood=Imp|Voice=Lfoc 0 root _ Gloss=give|MSeg=bigy-an|MGloss=give-DP
+2 mo ikaw PRON _ Case=Gen|Number=Sing|Person=2|PronType=Prs 1 obj:agent _ Gloss=you|MGloss=you(ACT)
+3 siya siya PRON _ Case=Nom|Number=Sing|Person=3|PronType=Prs 1 nsubj:lfoc _ Gloss=he|MGloss=him(PIV)
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET
+5 kape kape NOUN _ _ 1 iobj:patient _ Gloss=coffee|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.119a
+# text = Walisan natin ang sahig.
+# source = Schachter and Otanes, 1972:407-9
+# gloss = Sweep-OP us(DU.ACT) PIV floor
+# text_en = Let's sweep the floor
+1 Walisan walis VERB _ Mood=Imp|Voice=Pass 0 root _ Gloss=sweep|MSeg=walis-an|MGloss=sweep-OP
+2 natin ako PRON _ Case=Gen|Clusivity=In|Number=Plur|Person=1|PronType=Prs 1 obj:agent _ Gloss=us|MGloss=us(DU.ACT)
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 sahig sahig NOUN _ _ 1 nsubj:pass _ Gloss=floor|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.119b
+# text = Walisan nila ang sahig.
+# source = Schachter and Otanes, 1972:407-9
+# gloss = Sweep-OP they(ACT) PIV floor
+# text_en = I want them to sweep the floor
+1 Walisan walis VERB _ Mood=Imp|Voice=Pass 0 root _ Gloss=sweep|MSeg=walis-an|MGloss=sweep-OP
+2 nila sila PRON _ Case=Gen|Number=Plur|Person=3|PronType=Prs 1 obj:agent _ Gloss=them|MGloss=they(ACT)
+3 ang ang ADP _ Case=Nom 4 case _ Gloss=the|MGloss=PIV
+4 sahig sahig NOUN _ _ 1 nsubj:pass _ Gloss=floor|SpaceAfter=No
+5 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.120a
+# text = Nagatubili siyang humiram ng pera sa banko.
+# source = Schachter, 1972
+# gloss = AP-hesitate he(PIV)-LINK [AP]-borrow OBJ money DIR bank
+# text_en = He hesitated to borrow money from a/the bank
+1 Nagatubili atubili VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=hesitated|MSeg=nag-atubili|MGloss=AP-hesitate
+2 siyang siya PRON _ Case=Nom|Link=Yes|Number=Sing|Person=3|PronType=Prs 1 nsubj _ Gloss=he|MSeg=siya-ng|MGloss=he(PIV)-LINK
+3 humiram hiram VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 xcomp _ Gloss=borrow|MSeg=h[um]iram|MGloss=[AP]-borrow
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET|MGloss=OBJ
+5 pera pera NOUN _ _ 3 obj _ Gloss=money
+6 sa sa ADP _ Case=Dat 7 case _ Gloss=to|MGloss=DIR
+7 banko banko NOUN _ _ 3 obl _ Gloss=bank|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.120b
+# text = Nagatubili siyang hiramin ang pera sa banko.
+# source = Schachter, 1972
+# gloss = AP-hesitate he(PIV)-LINK borrow-OP PIV money DIR bank
+# text_en = He hesitated to borrow the money from the bank
+1 Nagatubili atubili VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=hesitated|MSeg=nag-atubili|MGloss=AP-hesitate
+2 siyang siya PRON _ Case=Nom|Link=Yes|Number=Sing|Person=3|PronType=Prs 1 nsubj _ Gloss=he|MSeg=siya-ng|MGloss=he(PIV)-LINK
+3 hiramin hiram VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 1 xcomp _ Gloss=borrow|MSeg=hiram-in|MGloss=borrow-OP
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 pera pera NOUN _ _ 3 nsubj:pass _ Gloss=money
+6 sa sa ADP _ Case=Dat 7 case _ Gloss=to|MGloss=DIR
+7 banko banko NOUN _ _ 3 obl _ Gloss=bank|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.121a
+# text = Gusto ni Juan suriin siya ng doktor.
+# source = Schachter, 1977:295
+# gloss = want ACT John(LINK) examine-OP he(PIV) ACT doctor
+# text_en = John wants the doctor to examine him
+# The verb gusto seems to have only the patient focus voice. But here it appears in its base form, without aspectual inflection.
+# https://www.tagalog.com/words/gusto.php suggests that "gusto" does not inflect.
+# The patient focus means that the agent (which is the only argument) must appear in the genitive case.
+1 Gusto gusto VERB _ Aspect=Hab|Voice=Pass 0 root _ Gloss=want
+2 ni ni ADP _ Case=Gen 3 case _ Gloss=DET
+3 Juan Juan PROPN _ Gender=Masc|Link=Yes 1 obj:agent _ Gloss=Juan|MGloss=John(LINK)
+4 suriin suri VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 1 ccomp _ Gloss=examine|MSeg=suri-in|MGloss=examine-OP
+5 siya siya PRON _ Case=Nom|Number=Sing|Person=3|PronType=Prs 4 nsubj:pass _ Gloss=he|MGloss=he(PIV)
+6 ng ng ADP _ Case=Gen 7 case _ Gloss=DET|MGloss=ACT
+7 doktor doktor NOUN _ _ 4 obj:agent _ Gloss=doctor|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.122a
+# text = Masagwa ang tumatanda.
+# gloss = disagreeable PIV [AP]-IMPERF-become-old
+# text_en = It is disagreeable to become old
+1 Masagwa masagwa ADJ _ Degree=Pos 0 root _ Gloss=disagreeable
+2 ang ang ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 tumatanda tatanda VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 csubj _ Gloss=to-become-old|MGloss=[AP]-IMPERF-become-old|MSeg=t[um]a-tanda|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.122b
+# text = Gusto niyang gumanda.
+# gloss = want he/she(ACT)-LINK [AP]-beautiful
+# text_en = She wants to become beautiful
+1 Gusto gusto VERB _ Aspect=Hab|Voice=Pass 0 root _ Gloss=want
+2 niyang siya PRON _ Case=Gen|Link=Yes|Number=Sing|Person=3|PronType=Prs 1 obj:agent _ Gloss=him|MSeg=niya-ng|MGloss=he/she(ACT)-LINK
+3 gumanda ganda VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 xcomp _ Gloss=become-beautiful|MGloss=[AP]-beautiful|MSeg=g[um]anda|SpaceAfter=No
+4 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.122c
+# text = Gusto kong tumanggap ng gantimpala.
+# gloss = want I(ACT)-LINK [AP]-receive OBJ prize
+# text_en = I want to be the recipient of the prize
+1 Gusto gusto VERB _ Aspect=Hab|Voice=Pass 0 root _ Gloss=want
+2 kong ako PRON _ Case=Gen|Link=Yes|Number=Sing|Person=1|PronType=Prs 1 obj:agent _ Gloss=me|MSeg=ko-ng|MGloss=I(ACT)-LINK
+3 tumanggap tanggap VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 xcomp _ Gloss=received|MSeg=t[um]anggap|MGloss=[AP]-receive
+4 ng ng ADP _ Case=Gen 5 case _ Gloss=DET|MGloss=OBJ
+5 gantimpala gantimpala NOUN _ _ 3 obj _ Gloss=prize|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.122d
+# text = Gusto kong matanggap ang gantimpala.
+# gloss = want I(ACT)-LINK OP-receive PIV prize
+# text_en = I want to receive the prize
+1 Gusto gusto VERB _ Aspect=Hab|Voice=Pass 0 root _ Gloss=want
+2 kong ako PRON _ Case=Gen|Link=Yes|Number=Sing|Person=1|PronType=Prs 1 obj:agent _ Gloss=me|MSeg=ko-ng|MGloss=I(ACT)-LINK
+3 matanggap tanggap VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 1 xcomp _ Gloss=received|MSeg=ma-tanggap|MGloss=OP-receive
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 gantimpala gantimpala NOUN _ _ 3 nsubj:pass _ Gloss=prize|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.123
+# text = Ayaw kong mamatay sa Maynila.
+# gloss = not.want I(ACT)-LINK AP-die DIR Manila
+# text_en = I don't want to die in Manila
+1 Ayaw ayaw VERB _ Aspect=Hab|Voice=Pass 0 root _ Gloss=not-want|MGloss=not.want
+2 kong ako PRON _ Case=Gen|Link=Yes|Number=Sing|Person=1|PronType=Prs 1 obj:agent _ Gloss=me|MSeg=ko-ng|MGloss=I(ACT)-LINK
+3 mamatay patay VERB _ Aspect=Perf|Mood=Ind|Voice=Act 1 xcomp _ Gloss=die|MSeg=ma-matay|MGloss=AP-die
+4 sa sa ADP _ Case=Dat 5 case _ Gloss=to|MGloss=DIR
+5 Maynila Maynila PROPN _ _ 3 obl _ Gloss=Manila|SpaceAfter=No
+6 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.124a
+# text = Binisita ni Juan ang hari nang nagiisa.
+# gloss = [PERF]-visit(OP) ACT Juan PIV king ADV AP.IMPERF-one
+# text_en = Juan visited the king alone [either Juan or the king is alone]
+1 Binisita bisita VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=visited|MSeg=b[in]isita|MGloss=[PERF]-visit(OP)
+2 ni ni ADP _ Case=Gen 3 case _ Gloss=DET|MGloss=ACT
+3 Juan Juan PROPN _ Gender=Masc 1 obj:agent _ Gloss=Juan|MGloss=John(LINK)
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 hari hari NOUN _ _ 1 nsubj:pass _ Gloss=king
+6 nang nang SCONJ _ _ 7 mark _ Gloss=while|MGloss=ADV
+7 nagiisa iisa VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 advcl _ Gloss=being-alone|MGloss=AP.IMPERF-one|MSeg=nag-iisa|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.124b
+# text = Bumisita si Juan sa hari nang nagiisa.
+# gloss = [AP.PERF]-visit PIV Juan DAT king ADV AP.IMPERF-one
+# text_en = Juan visited the king alone [only Juan is alone]
+1 Bumisita bisita VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=visited|MSeg=b[um]isita|MGloss=[AP.PERF]-visit
+2 si si ADP _ Case=Nom 3 case _ Gloss=the|MGloss=PIV
+3 Juan Juan PROPN _ Gender=Masc 1 nsubj _ Gloss=Juan|MGloss=John(LINK)
+4 sa sa ADP _ Case=Dat 5 case _ Gloss=to|MGloss=DAT
+5 hari hari NOUN _ _ 1 obl _ Gloss=king
+6 nang nang SCONJ _ _ 7 mark _ Gloss=while|MGloss=ADV
+7 nagiisa iisa VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 advcl _ Gloss=being-alone|MGloss=AP.IMPERF-one|MSeg=nag-iisa|SpaceAfter=No
+8 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.124c
+# text = Hinuli ng polis ang mgananakaw nang pumapasok sa banko.
+# gloss = PERF-catch(OP) ACT police PIV thief ADV AP.IMPERF:enter DAT bank
+# text_en = The police caught the thief entering the bank [either thief or police are entering]
+1 Hinuli huli VERB _ Aspect=Perf|Mood=Ind|Voice=Pass 0 root _ Gloss=caught|MSeg=h[in]uli|MGloss=PERF-catch(OP)
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET|MGloss=ACT
+3 polis polis NOUN _ _ 1 obj:agent _ Gloss=police
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 mgananakaw mgananakaw NOUN _ _ 1 nsubj:pass _ Gloss=thief
+6 nang nang SCONJ _ _ 7 mark _ Gloss=while|MGloss=ADV
+7 pumapasok pasok VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 advcl _ Gloss=entering|MSeg=p[um]a-pasok|MGloss=[AP]-IMPERF-enter
+8 sa sa ADP _ Case=Dat 9 case _ Gloss=to|MGloss=DAT
+9 banko banko NOUN _ _ 7 obl _ Gloss=bank|SpaceAfter=No
+10 . . PUNCT _ _ 1 punct _ Gloss=.
+
+# sent_id = shopen-3.124d
+# text = Nanghuli ng mgananakaw ang polis nang pumapasok sa banko.
+# gloss = AP.PERF-catch OBJ thief PIV police ADV AV.IMPERF:enter DAT bank
+# text_en = The police caught the thief entering the bank [either thief or police are entering]
+1 Nanghuli huli VERB _ Aspect=Perf|Mood=Ind|Voice=Act 0 root _ Gloss=caught|MSeg=nang-huli|MGloss=AP.PERF-catch
+2 ng ng ADP _ Case=Gen 3 case _ Gloss=DET|MGloss=OBJ
+3 mgananakaw mgananakaw NOUN _ _ 1 obj _ Gloss=thief
+4 ang ang ADP _ Case=Nom 5 case _ Gloss=the|MGloss=PIV
+5 polis polis NOUN _ _ 1 nsubj _ Gloss=police
+6 nang nang SCONJ _ _ 7 mark _ Gloss=while|MGloss=ADV
+7 pumapasok pasok VERB _ Aspect=Imp|Mood=Ind|Voice=Act 1 advcl _ Gloss=entering|MSeg=p[um]a-pasok|MGloss=[AP]-IMPERF-enter
+8 sa sa ADP _ Case=Dat 9 case _ Gloss=to|MGloss=DAT
+9 banko banko NOUN _ _ 7 obl _ Gloss=bank|SpaceAfter=No
+10 . . PUNCT _ _ 1 punct _ Gloss=.
+