See embedding on Wiktionary
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{ "derived": [ { "_dis1": "0 0 0", "word": "deep embedding" }, { "_dis1": "0 0 0", "word": "Plücker embedding" }, { "_dis1": "0 0 0", "word": "postembedding" }, { "_dis1": "0 0 0", "word": "self-embedding" }, { "_dis1": "0 0 0", "word": "shallow embedding" }, { "_dis1": "0 0 0", "word": "Yoneda embedding" } ], "forms": [ { "form": "embeddings", "tags": [ "plural" ] } ], "head_templates": [ { "args": {}, "expansion": "embedding (plural embeddings)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "glosses": [ "The act or process by which one thing is embedded in another." ], "id": "en-embedding-en-noun-slRb6A~M" }, { "categories": [ { "kind": "topical", "langcode": "en", "name": "Mathematics", "orig": "en:Mathematics", "parents": [ "Formal sciences", "Sciences", "All topics", "Fundamental" ], "source": "w" } ], "glosses": [ "A map which maps a subspace (smaller structure) to the whole space (larger structure)." ], "id": "en-embedding-en-noun-El26j8H4", "links": [ [ "mathematics", "mathematics" ] ], "raw_glosses": [ "(mathematics) A map which maps a subspace (smaller structure) to the whole space (larger structure)." ], "topics": [ "mathematics", "sciences" ] }, { "categories": [ { "kind": "other", "name": "English terms with collocations", "parents": [ "Terms with collocations", "Entry maintenance" ], "source": "w" }, { "kind": "topical", "langcode": "en", "name": "Artificial intelligence", "orig": "en:Artificial intelligence", "parents": [ "Computer science", "Cybernetics", "Computing", "Sciences", "Applied mathematics", "Systems theory", "Technology", "All topics", "Mathematics", "Systems", "Fundamental", "Formal sciences", "Interdisciplinary fields", "Society" ], "source": "w" } ], "examples": [ { "text": "word embeddings", "type": "example" }, { "ref": "2017 April 13, Hannah Devlin, quoting Arvind Narayanan, “AI programs exhibit racial and gender biases, research reveals”, in The Guardian, →ISSN", "text": "“A major reason we chose to study word embeddings is that they have been spectacularly successful in the last few years in helping computers make sense of language,” said Arvind Narayanan, a computer scientist at Princeton University and the paper’s senior author.", "type": "quotation" } ], "glosses": [ "A representation of a unit of text (such as a word or token) as a vector, which encodes the context in which it is used." ], "id": "en-embedding-en-noun-jMKBFC6i", "links": [ [ "machine learning", "machine learning" ], [ "artificial intelligence", "artificial intelligence" ], [ "text", "text#Noun" ], [ "word", "word#Noun" ], [ "token", "token#Noun" ], [ "vector", "vector#Noun" ], [ "encodes", "encode#Verb" ], [ "context", "context#Noun" ] ], "qualifier": "machine learning; artificial intelligence; machine learning; artificial intelligence", "raw_glosses": [ "(machine learning, artificial intelligence) A representation of a unit of text (such as a word or token) as a vector, which encodes the context in which it is used." ] } ], "translations": [ { "_dis1": "27 39 35", "code": "cmn", "lang": "Chinese Mandarin", "roman": "qiànrù", "sense": "in mathematics", "word": "嵌入" }, { "_dis1": "27 39 35", "code": "fr", "lang": "French", "sense": "in mathematics", "tags": [ "masculine" ], "word": "plongement" }, { "_dis1": "27 39 35", "code": "de", "lang": "German", "sense": "in mathematics", "tags": [ "feminine" ], "word": "Einbettung" }, { "_dis1": "27 39 35", "code": "de", "lang": "German", "sense": "in mathematics", "tags": [ "masculine" ], "word": "Einschluss" }, { "_dis1": "27 39 35", "code": "is", "lang": "Icelandic", "sense": "in mathematics", "tags": [ "feminine" ], "word": "greyping" }, { "_dis1": "27 39 35", "code": "it", "lang": "Italian", "sense": "in mathematics", "tags": [ "feminine" ], "word": "immersione" }, { "_dis1": "27 39 35", "code": "pt", "lang": "Portuguese", "sense": "in mathematics", "tags": [ "masculine" ], "word": "mergulho" }, { "_dis1": "27 39 35", "code": "ru", "lang": "Russian", "roman": "vložénije", "sense": "in mathematics", "tags": [ "neuter" ], "word": "вложе́ние" }, { "_dis1": "27 39 35", "code": "sv", "lang": "Swedish", "sense": "in mathematics", "tags": [ "common-gender" ], "word": "inbäddning" } ], "wikipedia": [ "embedding" ], "word": "embedding" } { "head_templates": [ { "args": { "1": "en", "2": "verb form" }, "expansion": "embedding", "name": "head" } ], "lang": "English", "lang_code": "en", "pos": "verb", "senses": [ { "categories": [ { "_dis": "29 13 9 50", "kind": "other", "name": "English entries with incorrect language header", "parents": [ "Entries with incorrect language header", "Entry maintenance" ], "source": "w+disamb" } ], "form_of": [ { "word": "embed" } ], "glosses": [ "present participle and gerund of embed" ], "id": "en-embedding-en-verb-wjDC~EyX", "links": [ [ "embed", "embed#English" ] ], "tags": [ "form-of", "gerund", "participle", "present" ] } ], "word": "embedding" }
{ "categories": [ "English countable nouns", "English entries with incorrect language header", "English lemmas", "English non-lemma forms", "English nouns", "English verb forms", "Requests for review of Slovak translations" ], "derived": [ { "word": "deep embedding" }, { "word": "Plücker embedding" }, { "word": "postembedding" }, { "word": "self-embedding" }, { "word": "shallow embedding" }, { "word": "Yoneda embedding" } ], "forms": [ { "form": "embeddings", "tags": [ "plural" ] } ], "head_templates": [ { "args": {}, "expansion": "embedding (plural embeddings)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "glosses": [ "The act or process by which one thing is embedded in another." ] }, { "categories": [ "en:Mathematics" ], "glosses": [ "A map which maps a subspace (smaller structure) to the whole space (larger structure)." ], "links": [ [ "mathematics", "mathematics" ] ], "raw_glosses": [ "(mathematics) A map which maps a subspace (smaller structure) to the whole space (larger structure)." ], "topics": [ "mathematics", "sciences" ] }, { "categories": [ "English terms with collocations", "English terms with quotations", "en:Artificial intelligence" ], "examples": [ { "text": "word embeddings", "type": "example" }, { "ref": "2017 April 13, Hannah Devlin, quoting Arvind Narayanan, “AI programs exhibit racial and gender biases, research reveals”, in The Guardian, →ISSN", "text": "“A major reason we chose to study word embeddings is that they have been spectacularly successful in the last few years in helping computers make sense of language,” said Arvind Narayanan, a computer scientist at Princeton University and the paper’s senior author.", "type": "quotation" } ], "glosses": [ "A representation of a unit of text (such as a word or token) as a vector, which encodes the context in which it is used." ], "links": [ [ "machine learning", "machine learning" ], [ "artificial intelligence", "artificial intelligence" ], [ "text", "text#Noun" ], [ "word", "word#Noun" ], [ "token", "token#Noun" ], [ "vector", "vector#Noun" ], [ "encodes", "encode#Verb" ], [ "context", "context#Noun" ] ], "qualifier": "machine learning; artificial intelligence; machine learning; artificial intelligence", "raw_glosses": [ "(machine learning, artificial intelligence) A representation of a unit of text (such as a word or token) as a vector, which encodes the context in which it is used." ] } ], "translations": [ { "code": "cmn", "lang": "Chinese Mandarin", "roman": "qiànrù", "sense": "in mathematics", "word": "嵌入" }, { "code": "fr", "lang": "French", "sense": "in mathematics", "tags": [ "masculine" ], "word": "plongement" }, { "code": "de", "lang": "German", "sense": "in mathematics", "tags": [ "feminine" ], "word": "Einbettung" }, { "code": "de", "lang": "German", "sense": "in mathematics", "tags": [ "masculine" ], "word": "Einschluss" }, { "code": "is", "lang": "Icelandic", "sense": "in mathematics", "tags": [ "feminine" ], "word": "greyping" }, { "code": "it", "lang": "Italian", "sense": "in mathematics", "tags": [ "feminine" ], "word": "immersione" }, { "code": "pt", "lang": "Portuguese", "sense": "in mathematics", "tags": [ "masculine" ], "word": "mergulho" }, { "code": "ru", "lang": "Russian", "roman": "vložénije", "sense": "in mathematics", "tags": [ "neuter" ], "word": "вложе́ние" }, { "code": "sv", "lang": "Swedish", "sense": "in mathematics", "tags": [ "common-gender" ], "word": "inbäddning" } ], "wikipedia": [ "embedding" ], "word": "embedding" } { "categories": [ "English countable nouns", "English entries with incorrect language header", "English lemmas", "English non-lemma forms", "English nouns", "English verb forms", "Requests for review of Slovak translations" ], "head_templates": [ { "args": { "1": "en", "2": "verb form" }, "expansion": "embedding", "name": "head" } ], "lang": "English", "lang_code": "en", "pos": "verb", "senses": [ { "form_of": [ { "word": "embed" } ], "glosses": [ "present participle and gerund of embed" ], "links": [ [ "embed", "embed#English" ] ], "tags": [ "form-of", "gerund", "participle", "present" ] } ], "word": "embedding" }
This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-05-01 from the enwiktionary dump dated 2024-04-21 using wiktextract (f4fd8c9 and c9440ce). 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.