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Vector Semantics

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This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.

The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use.


In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.

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Detail Information

Series Title

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Call Number

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Publisher

Singapore : Springer Nature Singapore., 2023

Collation

XVI, 273

Language

English

ISBN/ISSN

9789811956072

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Natural Language Processing (NLP)

Specific Detail Info

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Statement of Responsibility

András Kornai

Other Information

Cataloger

Kholif Basri

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.1007/978-981-19-5607-2

Journal Volume

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Journal Issue

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