See BOW in All languages combined, or Wiktionary
{ "forms": [ { "form": "BOWs", "tags": [ "plural" ] } ], "head_templates": [ { "args": {}, "expansion": "BOW (plural BOWs)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "alt_of": [ { "word": "bag of words" } ], "categories": [ { "kind": "other", "name": "English entries with incorrect language header", "parents": [ "Entries with incorrect language header", "Entry maintenance" ], "source": "w" }, { "kind": "other", "name": "Pages with 1 entry", "parents": [], "source": "w" }, { "kind": "other", "name": "Pages with entries", "parents": [], "source": "w" }, { "kind": "topical", "langcode": "en", "name": "Computational linguistics", "orig": "en:Computational linguistics", "parents": [ "Computer science", "Linguistics", "Computing", "Sciences", "Language", "Social sciences", "Technology", "All topics", "Communication", "Society", "Fundamental" ], "source": "w" } ], "examples": [ { "text": "Alternative form: BoW" }, { "ref": "2020, Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana, Practical Natural Language Processing […] , First edition, Beijing Boston Farnham Sebastopol Tokyo: O'Reilly, →ISBN:", "text": "However, despite these shortcomings, due to its simplicity and ease of implementation, BoW is a commonly used text representation scheme, especially for text classification among other NLP problems.", "type": "quote" } ], "glosses": [ "Initialism of bag of words." ], "id": "en-BOW-en-noun-KozPilku", "links": [ [ "computational linguistics", "computational linguistics" ], [ "bag of words", "bag of words#English" ] ], "raw_glosses": [ "(computational linguistics) Initialism of bag of words." ], "tags": [ "abbreviation", "alt-of", "initialism" ], "topics": [ "computational", "computing", "engineering", "human-sciences", "linguistics", "mathematics", "natural-sciences", "physical-sciences", "sciences" ] } ], "word": "BOW" }
{ "forms": [ { "form": "BOWs", "tags": [ "plural" ] } ], "head_templates": [ { "args": {}, "expansion": "BOW (plural BOWs)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "alt_of": [ { "word": "bag of words" } ], "categories": [ "English countable nouns", "English entries with incorrect language header", "English initialisms", "English lemmas", "English nouns", "English terms with quotations", "Pages with 1 entry", "Pages with entries", "en:Computational linguistics" ], "examples": [ { "text": "Alternative form: BoW" }, { "ref": "2020, Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana, Practical Natural Language Processing […] , First edition, Beijing Boston Farnham Sebastopol Tokyo: O'Reilly, →ISBN:", "text": "However, despite these shortcomings, due to its simplicity and ease of implementation, BoW is a commonly used text representation scheme, especially for text classification among other NLP problems.", "type": "quote" } ], "glosses": [ "Initialism of bag of words." ], "links": [ [ "computational linguistics", "computational linguistics" ], [ "bag of words", "bag of words#English" ] ], "raw_glosses": [ "(computational linguistics) Initialism of bag of words." ], "tags": [ "abbreviation", "alt-of", "initialism" ], "topics": [ "computational", "computing", "engineering", "human-sciences", "linguistics", "mathematics", "natural-sciences", "physical-sciences", "sciences" ] } ], "word": "BOW" }
Download raw JSONL data for BOW meaning in English (1.4kB)
This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2024-11-06 from the enwiktionary dump dated 2024-10-02 using wiktextract (fbeafe8 and 7f03c9b). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.