Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | Y | Z _ __annotations__ (zensols.nlp.domain.ParseError attribute) (zensols.nlp.score.ScorerError attribute) __init__() (zensols.nlp.chunker.Chunker method) (zensols.nlp.chunker.ListItemChunker method) (zensols.nlp.chunker.ParagraphChunker method) (zensols.nlp.combine.CombinerFeatureDocumentParser method) (zensols.nlp.combine.MappingCombinerFeatureDocumentParser method) (zensols.nlp.component.EntityRecognizer method) (zensols.nlp.component.PatternEntityRecognizer method) (zensols.nlp.component.RegexEntityRecognizer method) (zensols.nlp.component.RegexSplitter method) (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSentence method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenAnnotatedFeatureDocument method) (zensols.nlp.container.TokenAnnotatedFeatureSentence method) (zensols.nlp.dataframe.FeatureDataFrameFactory method) (zensols.nlp.decorate.CopyFeatureTokenContainerDecorator method) (zensols.nlp.decorate.FilterEmptySentenceDocumentDecorator method) (zensols.nlp.decorate.FilterTokenSentenceDecorator method) (zensols.nlp.decorate.SplitTokenSentenceDecorator method) (zensols.nlp.decorate.StripTokenContainerDecorator method) (zensols.nlp.decorate.UpdateTokenContainerDecorator method) (zensols.nlp.domain.LexicalSpan method) (zensols.nlp.nerscore.SemEvalHarmonicMeanScore method) (zensols.nlp.nerscore.SemEvalScore method) (zensols.nlp.nerscore.SemEvalScoreMethod method) (zensols.nlp.norm.FilterRegularExpressionMapper method) (zensols.nlp.norm.FilterTokenMapper method) (zensols.nlp.norm.JoinTokenMapper method) (zensols.nlp.norm.LambdaTokenMapper method) (zensols.nlp.norm.LemmatizeTokenMapper method) (zensols.nlp.norm.MapTokenNormalizer method) (zensols.nlp.norm.SplitEntityTokenMapper method) (zensols.nlp.norm.SplitTokenMapper method) (zensols.nlp.norm.SubstituteTokenMapper method) (zensols.nlp.norm.TokenMapper method) (zensols.nlp.norm.TokenNormalizer method) (zensols.nlp.parser.CachingFeatureDocumentParser method) (zensols.nlp.parser.Component method) (zensols.nlp.parser.DecoratedFeatureDocumentParser method) (zensols.nlp.parser.FeatureDocumentParser method) (zensols.nlp.parser.FeatureSentenceFactory method) (zensols.nlp.parser.WhiteSpaceTokenizerFeatureDocumentParser method) (zensols.nlp.score.BleuScoreMethod method) (zensols.nlp.score.ErrorScore method) (zensols.nlp.score.ExactMatchScoreMethod method) (zensols.nlp.score.FloatScore method) (zensols.nlp.score.HarmonicMeanScore method) (zensols.nlp.score.LevenshteinDistanceScoreMethod method) (zensols.nlp.score.RougeScoreMethod method) (zensols.nlp.score.Score method) (zensols.nlp.score.ScoreContext method) (zensols.nlp.score.ScoreMethod method) (zensols.nlp.score.Scorer method) (zensols.nlp.score.ScoreResult method) (zensols.nlp.score.ScoreSet method) (zensols.nlp.serial.Serialized method) (zensols.nlp.serial.SerializedFeatureDocument method) (zensols.nlp.serial.SerializedTokenContainer method) (zensols.nlp.serial.SerializedTokenContainerFactory method) (zensols.nlp.spannorm.EnglishSpanNormalizer method) (zensols.nlp.sparser.SpacyFeatureDocumentParser method) (zensols.nlp.stemmer.PorterStemmerTokenMapper method) (zensols.nlp.tok.FeatureToken method) (zensols.nlp.tok.SpacyFeatureToken method) __module__ (zensols.nlp.domain.NLPError attribute) (zensols.nlp.domain.ParseError attribute) (zensols.nlp.score.ScorerError attribute) _combine_documents() (zensols.nlp.container.FeatureDocument method) A actual (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) add_lambda (zensols.nlp.norm.LambdaTokenMapper attribute) annotations (zensols.nlp.container.TokenAnnotatedFeatureDocument property) (zensols.nlp.container.TokenAnnotatedFeatureSentence attribute) as_dataframe() (zensols.nlp.score.ScoreSet method) as_numpy() (zensols.nlp.score.ScoreSet method) asrow() (zensols.nlp.nerscore.SemEvalScore method) (zensols.nlp.score.ErrorScore method) (zensols.nlp.score.FloatScore method) (zensols.nlp.score.Score method) astuple (zensols.nlp.domain.LexicalSpan property) auto_install_model (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) B BleuScoreMethod (class in zensols.nlp.score) C CachingFeatureDocumentParser (class in zensols.nlp.parser) canonical (zensols.nlp.container.TokenContainer property) canonical_delimiter (zensols.nlp.spannorm.EnglishSpanNormalizer attribute) char_offset (zensols.nlp.chunker.Chunker attribute) children (zensols.nlp.tok.SpacyFeatureToken property) Chunker (class in zensols.nlp.chunker) clear() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.TokenContainer method) (zensols.nlp.parser.CachingFeatureDocumentParser method) clear_models() (zensols.nlp.sparser.SpacyFeatureDocumentParser class method) clone() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenContainer method) (zensols.nlp.tok.FeatureToken method) combine_documents() (zensols.nlp.container.FeatureDocument class method) combine_sentences() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.TokenAnnotatedFeatureDocument method) CombinerFeatureDocumentParser (class in zensols.nlp.combine) Component (class in zensols.nlp.parser) ComponentInitializer (class in zensols.nlp.parser) components (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) config_factory (zensols.nlp.norm.MapTokenNormalizer attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) conll_iob_() (zensols.nlp.tok.SpacyFeatureToken method) container (zensols.nlp.serial.Serialized attribute) copy_attributes (zensols.nlp.norm.SplitEntityTokenMapper attribute) CopyFeatureTokenContainerDecorator (class in zensols.nlp.decorate) correct (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) correlation_id (zensols.nlp.score.ScoreResult attribute) correlation_id_col (zensols.nlp.score.ScoreSet attribute) correlation_ids (zensols.nlp.score.ScoreContext attribute) create() (zensols.nlp.parser.FeatureSentenceFactory method) (zensols.nlp.serial.SerializedTokenContainerFactory method) create_patner_component() (in module zensols.nlp.component) create_regexner_component() (in module zensols.nlp.component) create_regexsplit_component() (in module zensols.nlp.component) create_remove_sent_boundaries_component() (in module zensols.nlp.component) create_whitespace_tokenizer_component() (in module zensols.nlp.component) D decorate() (zensols.nlp.decorate.CopyFeatureTokenContainerDecorator method) (zensols.nlp.decorate.FilterEmptySentenceDocumentDecorator method) (zensols.nlp.decorate.FilterTokenSentenceDecorator method) (zensols.nlp.decorate.SplitTokenSentenceDecorator method) (zensols.nlp.decorate.StripTokenContainerDecorator method) (zensols.nlp.decorate.UpdateTokenContainerDecorator method) (zensols.nlp.parser.DecoratedFeatureDocumentParser method) (zensols.nlp.parser.FeatureDocumentDecorator method) (zensols.nlp.parser.FeatureSentenceDecorator method) (zensols.nlp.parser.FeatureTokenContainerDecorator method) (zensols.nlp.parser.FeatureTokenDecorator method) DecoratedFeatureDocumentParser (class in zensols.nlp.parser) default_detached_feature_ids (zensols.nlp.tok.FeatureToken property) default_instance() (zensols.nlp.parser.FeatureDocumentParser static method) default_methods (zensols.nlp.score.Scorer attribute) DEFAULT_SPAN_PATTERN (zensols.nlp.chunker.ListItemChunker attribute) (zensols.nlp.chunker.ParagraphChunker attribute) delegate (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) dep (zensols.nlp.tok.SpacyFeatureToken property) dep_ (zensols.nlp.tok.SpacyFeatureToken property) dependency_tree (zensols.nlp.container.FeatureSpan property) detach() (zensols.nlp.tok.FeatureToken method) disable_component_names (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) doc (zensols.nlp.chunker.Chunker attribute) doc_class (zensols.nlp.parser.WhiteSpaceTokenizerFeatureDocumentParser attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) document_decorators (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) document_includes (zensols.nlp.serial.SerializedTokenContainerFactory attribute) E embed_entities (zensols.nlp.norm.TokenNormalizer attribute) EMPTY_DOCUMENT (zensols.nlp.container.FeatureDocument attribute) EMPTY_SENTENCE (zensols.nlp.container.FeatureSentence attribute) EMPTY_SPAN (zensols.nlp.domain.LexicalSpan attribute) EnglishSpanNormalizer (class in zensols.nlp.spannorm) ent (zensols.nlp.tok.SpacyFeatureToken property) ent_ (zensols.nlp.tok.SpacyFeatureToken property) ent_iob (zensols.nlp.tok.SpacyFeatureToken property) ent_iob_ (zensols.nlp.tok.SpacyFeatureToken property) ent_type (zensols.nlp.nerscore.SemEvalScore attribute) entities (zensols.nlp.container.TokenContainer property) EntityRecognizer (class in zensols.nlp.component) equality_measure (zensols.nlp.score.ExactMatchScoreMethod attribute) ErrorScore (class in zensols.nlp.score) exact (zensols.nlp.nerscore.SemEvalScore attribute) ExactMatchScoreMethod (class in zensols.nlp.score) exception (zensols.nlp.score.ErrorScore attribute) F f_score (zensols.nlp.score.HarmonicMeanScore attribute) feature_ids (zensols.nlp.decorate.CopyFeatureTokenContainerDecorator attribute) (zensols.nlp.serial.Serialized attribute) (zensols.nlp.serial.SerializedTokenContainerFactory attribute) FEATURE_IDS (zensols.nlp.tok.FeatureToken attribute) FEATURE_IDS_BY_TYPE (zensols.nlp.tok.FeatureToken attribute) feature_tokenizer (zensols.nlp.score.RougeScoreMethod attribute) FeatureDataFrameFactory (class in zensols.nlp.dataframe) FeatureDocument (class in zensols.nlp.container) FeatureDocumentDecorator (class in zensols.nlp.parser) FeatureDocumentParser (class in zensols.nlp.parser) FeatureSentence (class in zensols.nlp.container) FeatureSentenceDecorator (class in zensols.nlp.parser) FeatureSentenceFactory (class in zensols.nlp.parser) FeatureSpan (class in zensols.nlp.container) FeatureToken (class in zensols.nlp.tok) FeatureTokenContainerDecorator (class in zensols.nlp.parser) FeatureTokenDecorator (class in zensols.nlp.parser) filter_space (zensols.nlp.decorate.FilterEmptySentenceDocumentDecorator attribute) FilterEmptySentenceDocumentDecorator (class in zensols.nlp.decorate) FilterRegularExpressionMapper (class in zensols.nlp.norm) FilterTokenMapper (class in zensols.nlp.norm) FilterTokenSentenceDecorator (class in zensols.nlp.decorate) FloatScore (class in zensols.nlp.score) form (zensols.nlp.score.LevenshteinDistanceScoreMethod attribute) from_sentences() (zensols.nlp.container.FeatureDocument method) from_spacy_doc() (zensols.nlp.sparser.SpacyFeatureDocumentParser method) from_token() (zensols.nlp.domain.LexicalSpan class method) from_tuples() (zensols.nlp.domain.LexicalSpan class method) G gaps() (zensols.nlp.domain.LexicalSpan static method) get_canonical() (zensols.nlp.spannorm.EnglishSpanNormalizer method) (zensols.nlp.spannorm.SpanNormalizer method) get_dictable() (zensols.nlp.sparser.SpacyFeatureDocumentParser method) get_features() (zensols.nlp.tok.FeatureToken method) get_norm() (zensols.nlp.spannorm.EnglishSpanNormalizer method) (zensols.nlp.spannorm.SpanNormalizer method) get_overlapping_document() (zensols.nlp.container.FeatureDocument method) get_overlapping_sentences() (zensols.nlp.container.FeatureDocument method) get_overlapping_span() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSentence method) (zensols.nlp.container.TokenContainer method) get_overlapping_tokens() (zensols.nlp.container.TokenContainer method) get_value() (zensols.nlp.tok.FeatureToken method) H HarmonicMeanScore (class in zensols.nlp.score) has_correlation_id (zensols.nlp.score.ScoreSet property) hasher (zensols.nlp.parser.CachingFeatureDocumentParser attribute) I i (zensols.nlp.tok.FeatureToken attribute) i_sent (zensols.nlp.tok.FeatureToken attribute) idx (zensols.nlp.tok.FeatureToken attribute) import_file (zensols.nlp.component.EntityRecognizer attribute) Include (class in zensols.nlp.serial) include_detached_features (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) includes (zensols.nlp.serial.Serialized attribute) incorrect (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) init() (zensols.nlp.parser.Component method) init_nlp_model() (zensols.nlp.parser.ComponentInitializer method) initializers (zensols.nlp.parser.Component attribute) invert (zensols.nlp.norm.FilterRegularExpressionMapper attribute) is_available() (zensols.nlp.score.ScoreMethod class method) is_contraction (zensols.nlp.tok.SpacyFeatureToken property) is_none (zensols.nlp.tok.FeatureToken property) is_pronoun (zensols.nlp.tok.SpacyFeatureToken property) is_punctuation (zensols.nlp.tok.SpacyFeatureToken property) is_space (zensols.nlp.tok.SpacyFeatureToken property) is_stop (zensols.nlp.tok.SpacyFeatureToken property) is_superlative (zensols.nlp.tok.SpacyFeatureToken property) is_wh (zensols.nlp.tok.SpacyFeatureToken property) J JoinTokenMapper (class in zensols.nlp.norm) K keep_space_skip (zensols.nlp.spannorm.EnglishSpanNormalizer attribute) L labels (zensols.nlp.nerscore.SemEvalScoreMethod attribute) LambdaTokenMapper (class in zensols.nlp.norm) lang (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) lemma_ (zensols.nlp.tok.SpacyFeatureToken property) lemmatize (zensols.nlp.norm.LemmatizeTokenMapper attribute) LemmatizeTokenMapper (class in zensols.nlp.norm) LevenshteinDistanceScoreMethod (class in zensols.nlp.score) LexicalSpan (class in zensols.nlp.domain) lexspan (zensols.nlp.container.TokenContainer property) (zensols.nlp.tok.SpacyFeatureToken property) ListItemChunker (class in zensols.nlp.chunker) long_repr() (zensols.nlp.tok.FeatureToken method) M map_lambda (zensols.nlp.norm.LambdaTokenMapper attribute) map_overlapping_tokens() (zensols.nlp.container.TokenContainer method) map_tokens() (zensols.nlp.norm.FilterRegularExpressionMapper method) (zensols.nlp.norm.FilterTokenMapper method) (zensols.nlp.norm.JoinTokenMapper method) (zensols.nlp.norm.LambdaTokenMapper method) (zensols.nlp.norm.LemmatizeTokenMapper method) (zensols.nlp.norm.SplitEntityTokenMapper method) (zensols.nlp.norm.SplitTokenMapper method) (zensols.nlp.norm.SubstituteTokenMapper method) (zensols.nlp.norm.TokenMapper method) (zensols.nlp.stemmer.PorterStemmerTokenMapper method) mapper_class_list (zensols.nlp.norm.MapTokenNormalizer attribute) MappingCombinerFeatureDocumentParser (class in zensols.nlp.combine) MapTokenNormalizer (class in zensols.nlp.norm) max_sentence_len (zensols.nlp.container.FeatureDocument property) merge_sentences (zensols.nlp.combine.MappingCombinerFeatureDocumentParser attribute) method (zensols.nlp.score.ErrorScore attribute) methods (zensols.nlp.score.ScoreContext attribute) (zensols.nlp.score.Scorer attribute) missed (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) missing_modules() (zensols.nlp.score.ScoreMethod class method) model (zensols.nlp.sparser.SpacyFeatureDocumentParser property) model_name (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) module zensols.nlp zensols.nlp.chunker zensols.nlp.combine zensols.nlp.component zensols.nlp.container zensols.nlp.dataframe zensols.nlp.decorate zensols.nlp.domain zensols.nlp.nerscore zensols.nlp.norm zensols.nlp.parser zensols.nlp.score zensols.nlp.serial zensols.nlp.spannorm zensols.nlp.sparser zensols.nlp.stemmer zensols.nlp.tok modules (zensols.nlp.parser.Component attribute) N name (zensols.nlp.component.EntityRecognizer attribute) (zensols.nlp.parser.Component attribute) (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) NAN_INSTANCE (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) (zensols.nlp.nerscore.SemEvalScore attribute) (zensols.nlp.score.FloatScore attribute) (zensols.nlp.score.HarmonicMeanScore attribute) narrow() (zensols.nlp.domain.LexicalSpan method) nlp (zensols.nlp.component.EntityRecognizer attribute) NLPError NONE (zensols.nlp.tok.FeatureToken attribute) norm (zensols.nlp.container.TokenContainer property) (zensols.nlp.score.ScoreContext attribute) (zensols.nlp.tok.FeatureToken attribute) norm_len (zensols.nlp.tok.SpacyFeatureToken property) norm_token_iter() (zensols.nlp.container.TokenContainer method) normal (zensols.nlp.serial.Include attribute) normalize (zensols.nlp.score.LevenshteinDistanceScoreMethod attribute) normalize() (zensols.nlp.norm.TokenNormalizer method) O original (zensols.nlp.serial.Include attribute) overlaps() (zensols.nlp.domain.LexicalSpan static method) overlaps_with() (zensols.nlp.domain.LexicalSpan method) overwrite_features (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) overwrite_nones (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) P pairs (zensols.nlp.score.ScoreContext attribute) ParagraphChunker (class in zensols.nlp.chunker) parse() (zensols.nlp.combine.CombinerFeatureDocumentParser method) (zensols.nlp.parser.CachingFeatureDocumentParser method) (zensols.nlp.parser.DecoratedFeatureDocumentParser method) (zensols.nlp.parser.FeatureDocumentParser method) (zensols.nlp.parser.WhiteSpaceTokenizerFeatureDocumentParser method) (zensols.nlp.sparser.SpacyFeatureDocumentParser method) parse_spacy_doc() (zensols.nlp.sparser.SpacyFeatureDocumentParser method) ParseError partial (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) (zensols.nlp.nerscore.SemEvalScore attribute) pattern (zensols.nlp.chunker.Chunker attribute) (zensols.nlp.chunker.ListItemChunker attribute) (zensols.nlp.chunker.ParagraphChunker attribute) PatternEntityRecognizer (class in zensols.nlp.component) patterns (zensols.nlp.component.EntityRecognizer attribute) (zensols.nlp.component.PatternEntityRecognizer attribute) (zensols.nlp.component.RegexEntityRecognizer attribute) (zensols.nlp.component.RegexSplitter attribute) pipe_add_kwargs (zensols.nlp.parser.Component attribute) pipe_config (zensols.nlp.parser.Component attribute) pipe_name (zensols.nlp.parser.Component attribute) PorterStemmerTokenMapper (class in zensols.nlp.stemmer) pos (zensols.nlp.tok.SpacyFeatureToken property) pos_ (zensols.nlp.tok.SpacyFeatureToken property) possible (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) post_space_skip (zensols.nlp.spannorm.EnglishSpanNormalizer attribute) pre_space_skip (zensols.nlp.spannorm.EnglishSpanNormalizer attribute) precision (zensols.nlp.score.HarmonicMeanScore attribute) priority_feature_ids (zensols.nlp.dataframe.FeatureDataFrameFactory attribute) R recall (zensols.nlp.score.HarmonicMeanScore attribute) regex (zensols.nlp.norm.FilterRegularExpressionMapper attribute) (zensols.nlp.norm.JoinTokenMapper attribute) (zensols.nlp.norm.SplitTokenMapper attribute) (zensols.nlp.norm.SubstituteTokenMapper attribute) RegexEntityRecognizer (class in zensols.nlp.component) RegexSplitter (class in zensols.nlp.component) reindex (zensols.nlp.decorate.UpdateTokenContainerDecorator attribute) reindex() (zensols.nlp.container.TokenContainer method) reload_components (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) remove_determiners (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) (zensols.nlp.norm.FilterTokenMapper attribute) remove_empty (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) remove_empty_sentences (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) remove_first_stop (zensols.nlp.norm.LemmatizeTokenMapper attribute) remove_pronouns (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) (zensols.nlp.norm.FilterTokenMapper attribute) remove_punctuation (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) (zensols.nlp.norm.FilterTokenMapper attribute) remove_space (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) (zensols.nlp.norm.FilterTokenMapper attribute) remove_stop (zensols.nlp.decorate.FilterTokenSentenceDecorator attribute) (zensols.nlp.norm.FilterTokenMapper attribute) replace_char (zensols.nlp.norm.SubstituteTokenMapper attribute) replace_score (zensols.nlp.score.ErrorScore attribute) REQUIRED_FEATURE_IDS (zensols.nlp.tok.FeatureToken attribute) results (zensols.nlp.score.ScoreSet attribute) reverse_sents (zensols.nlp.score.ScoreMethod attribute) RougeScoreMethod (class in zensols.nlp.score) S Score (class in zensols.nlp.score) score() (zensols.nlp.score.ScoreMethod method) (zensols.nlp.score.Scorer method) ScoreContext (class in zensols.nlp.score) ScoreMethod (class in zensols.nlp.score) Scorer (class in zensols.nlp.score) ScorerError ScoreResult (class in zensols.nlp.score) scores (zensols.nlp.score.ScoreResult attribute) ScoreSet (class in zensols.nlp.score) SemEvalHarmonicMeanScore (class in zensols.nlp.nerscore) SemEvalScore (class in zensols.nlp.nerscore) SemEvalScoreMethod (class in zensols.nlp.nerscore) sent_class (zensols.nlp.parser.WhiteSpaceTokenizerFeatureDocumentParser attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) sent_i (zensols.nlp.tok.SpacyFeatureToken property) sent_iter() (zensols.nlp.container.FeatureDocument method) sentence_decorators (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) sentence_for_token() (zensols.nlp.container.FeatureDocument method) sentence_includes (zensols.nlp.serial.SerializedFeatureDocument attribute) (zensols.nlp.serial.SerializedTokenContainerFactory attribute) sentence_index_for_token() (zensols.nlp.container.FeatureDocument method) sentences (zensols.nlp.serial.Include attribute) sentences_for_tokens() (zensols.nlp.container.FeatureDocument method) sents (zensols.nlp.container.FeatureDocument attribute) separator (zensols.nlp.norm.JoinTokenMapper attribute) Serialized (class in zensols.nlp.serial) SerializedFeatureDocument (class in zensols.nlp.serial) SerializedTokenContainer (class in zensols.nlp.serial) SerializedTokenContainerFactory (class in zensols.nlp.serial) set_spacy_doc() (zensols.nlp.container.FeatureDocument method) set_value() (zensols.nlp.tok.FeatureToken method) shape (zensols.nlp.tok.SpacyFeatureToken property) shape_ (zensols.nlp.tok.SpacyFeatureToken property) silence_warnings (zensols.nlp.score.BleuScoreMethod attribute) SKIP_COMPARE_FEATURE_IDS (zensols.nlp.tok.FeatureToken attribute) smoothing_function (zensols.nlp.score.BleuScoreMethod attribute) source_parsers (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) spacy_doc (zensols.nlp.container.FeatureDocument attribute) spacy_span (zensols.nlp.container.FeatureSpan attribute) spacy_token (zensols.nlp.tok.SpacyFeatureToken attribute) SpacyFeatureDocumentParser (class in zensols.nlp.sparser) SpacyFeatureToken (class in zensols.nlp.tok) SpanNormalizer (class in zensols.nlp.spannorm) special_case_tokens (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) split() (zensols.nlp.tok.FeatureToken method) SplitEntityTokenMapper (class in zensols.nlp.norm) SplitTokenMapper (class in zensols.nlp.norm) SplitTokenSentenceDecorator (class in zensols.nlp.decorate) spurious (zensols.nlp.nerscore.SemEvalHarmonicMeanScore attribute) stash (zensols.nlp.parser.CachingFeatureDocumentParser attribute) stemmer (zensols.nlp.stemmer.PorterStemmerTokenMapper attribute) strict (zensols.nlp.nerscore.SemEvalScore attribute) strip() (zensols.nlp.container.TokenContainer method) strip_token_iter() (zensols.nlp.container.TokenContainer method) strip_tokens() (zensols.nlp.container.TokenContainer static method) StripTokenContainerDecorator (class in zensols.nlp.decorate) sub_doc (zensols.nlp.chunker.Chunker attribute) SubstituteTokenMapper (class in zensols.nlp.norm) T tag (zensols.nlp.tok.SpacyFeatureToken property) tag_ (zensols.nlp.tok.SpacyFeatureToken property) text (zensols.nlp.container.FeatureDocument attribute) (zensols.nlp.container.FeatureSpan attribute) (zensols.nlp.tok.FeatureToken property) TextContainer (class in zensols.nlp.domain) to_document() (zensols.nlp.chunker.Chunker method) (zensols.nlp.chunker.ListItemChunker method) (zensols.nlp.chunker.ParagraphChunker method) (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSentence method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenAnnotatedFeatureSentence method) (zensols.nlp.container.TokenContainer method) to_sentence() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSentence method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenContainer method) to_spacy_doc() (zensols.nlp.sparser.SpacyFeatureDocumentParser method) to_vector() (zensols.nlp.tok.FeatureToken method) token (zensols.nlp.tok.SpacyFeatureToken property) token_class (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) token_decorators (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) (zensols.nlp.parser.FeatureSentenceFactory attribute) (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) token_feature_ids (zensols.nlp.dataframe.FeatureDataFrameFactory attribute) (zensols.nlp.parser.DecoratedFeatureDocumentParser attribute) TOKEN_FEATURE_IDS (zensols.nlp.parser.FeatureDocumentParser attribute) token_feature_ids (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) token_iter() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenContainer method) token_len (zensols.nlp.container.FeatureSpan property) (zensols.nlp.container.TokenContainer property) token_normalizer (zensols.nlp.sparser.SpacyFeatureDocumentParser attribute) token_unit_type (zensols.nlp.norm.SplitEntityTokenMapper attribute) TokenAnnotatedFeatureDocument (class in zensols.nlp.container) TokenAnnotatedFeatureSentence (class in zensols.nlp.container) TokenContainer (class in zensols.nlp.container) TokenMapper (class in zensols.nlp.norm) TokenNormalizer (class in zensols.nlp.norm) tokens (zensols.nlp.container.FeatureSpan property) (zensols.nlp.container.TokenContainer property) (zensols.nlp.serial.Include attribute) tokens_by_i (zensols.nlp.container.TokenContainer property) tokens_by_i_sent (zensols.nlp.container.FeatureSpan property) tokens_by_idx (zensols.nlp.container.TokenContainer property) TYPES_BY_FEATURE_ID (zensols.nlp.tok.FeatureToken attribute) U uncombine_sentences() (zensols.nlp.container.FeatureDocument method) update_entity_spans (zensols.nlp.decorate.UpdateTokenContainerDecorator attribute) update_entity_spans() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenContainer method) update_indexes (zensols.nlp.decorate.UpdateTokenContainerDecorator attribute) update_indexes() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.FeatureSpan method) (zensols.nlp.container.TokenContainer method) UpdateTokenContainerDecorator (class in zensols.nlp.decorate) V validate() (zensols.nlp.score.ScoreContext method) validate_features (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) (zensols.nlp.combine.MappingCombinerFeatureDocumentParser attribute) value (zensols.nlp.score.FloatScore attribute) W weights (zensols.nlp.score.BleuScoreMethod attribute) WhiteSpaceTokenizerFeatureDocumentParser (class in zensols.nlp.parser) widen() (zensols.nlp.domain.LexicalSpan static method) WRITABLE_FEATURE_IDS (zensols.nlp.tok.FeatureToken attribute) write() (zensols.nlp.container.FeatureDocument method) (zensols.nlp.container.TokenAnnotatedFeatureSentence method) (zensols.nlp.container.TokenContainer method) (zensols.nlp.domain.LexicalSpan method) (zensols.nlp.domain.TextContainer method) (zensols.nlp.score.ScoreResult method) (zensols.nlp.score.ScoreSet method) (zensols.nlp.tok.FeatureToken method) write_attributes() (zensols.nlp.tok.FeatureToken method) write_text() (zensols.nlp.container.TokenContainer method) Y yield_feature_defaults (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) yield_features (zensols.nlp.combine.CombinerFeatureDocumentParser attribute) Z zensols.nlp module zensols.nlp.chunker module zensols.nlp.combine module zensols.nlp.component module zensols.nlp.container module zensols.nlp.dataframe module zensols.nlp.decorate module zensols.nlp.domain module zensols.nlp.nerscore module zensols.nlp.norm module zensols.nlp.parser module zensols.nlp.score module zensols.nlp.serial module zensols.nlp.spannorm module zensols.nlp.sparser module zensols.nlp.stemmer module zensols.nlp.tok module