sencore package

Submodules

sencore.deeplapi module

class sencore.deeplapi.DeepLAPI(from_lang, to_lang='ZH')

Bases: object

search(p)

sencore.entry module

sencore.kg_parser module

class sencore.kg_parser.KGParser(lang: str, labels: list = [], rules: list = [])

Bases: Parser

KGParser is to detect knowledge graph from sentence. Inherit Parser, implements digest.

digest(sentence)

Parse sentence into kg with linguistic meta info

Parameters:: sentence (str) – sentence to be parsed
Returns:: Keys are keys of kg
Return type:: dict

get_translator(to_lang)

sencore.kg_parser.create_kg_parser(nlp: Language, name: str, labels: list, rules: list): Register KG into pipeline with component name kg

sencore.lib module

sencore.lib.explain(kg, translator)

sencore.lib.extend_ranges(ranges, maxlen)

sencore.lib.merge_ranges(ranges)

sencore.parser module

class sencore.parser.Parser(lang='en')

Bases: object

Abstract class for VocabParser, PhraseParser

lang

language abbreviation, e.g. en, es

Type:: str

digest(sentence): The child classes should handle details. Throw Exception if calling directly.

sencore.phrase_model_parser module

class sencore.phrase_model_parser.PhraseModelParser(lang)

Bases: Parser

PhraseModelParser is to detect phrases from sentence. Inherit Parser, implements digest.

align_to_spacy(sentence, tags, tokens)

digest(sentence)

Parse sentence into phrases with linguistic meta info

Parameters:: sentence (str) – sentence to be parsed
Returns:: keys are text and start and end.
Return type:: list(dict)

merge_to_phrases(tags, sentence)

predict_sentence(sentence)

sencore.phrase_model_parser.align_back_to_tokens(word_ids, subtokens)

sencore.phrase_model_parser.align_back_to_words(word_ids, labels)

sencore.phrase_parser module

class sencore.phrase_parser.PhraseParser(lang)

Bases: Parser

PhraseParser is to detect phrases from sentence. Inherit Parser, implements digest.

digest(sentence)

Parse sentence into phrases with linguistic meta info

Parameters:: sentence (str) – sentence to be parsed
Returns:: keys are noun_phrases and buildin_np, which are of type list[dict].
Return type:: dict

sencore.phrase_parser.create_np_parser(nlp: Language, name: str): Register NounPhraseRecognizer into pipeline with component name nprecog

sencore.structure_parser module

class sencore.structure_parser.StructureParser(lang)

Bases: Parser

StructureParser is to detect structure from sentence. Inherit Parser, implements digest.

digest(sentence)

Parse sentence into structure with linguistic meta info

Parameters:: sentence (str) – sentence to be parsed
Returns:: keys are start, end, text, element, is_root, semantic_dep and explanation.
Return type:: list[dict]

sencore.structure_parser.create_structure_parser(nlp: Language, name: str): Register Structure into pipeline with component name structure

sencore.train module

sencore.vocab_parser module

class sencore.vocab_parser.VocabParser(lang: str, poses: list = [])

Bases: Parser

VocabParser is to detect vocabularies from sentence. Inherit Parser, implements digest.

digest(sentence)

Parse sentence into vocabularies with linguistic meta info

Parameters:: sentence (str) – sentence to be parsed
Returns:: keys are word, pos, “lemma”, “start” and “end”.
Return type:: list[dict]

Module contents

sencore Package