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.
| ISBN: | 9789811956096 |
| Publication date: | 7th December 2022 |
| Author: | András Kornai |
| Publisher: | Springer Verlag, Singapore |
| Format: | Paperback |
| Pagination: | 273 pages |
| Series: | Cognitive Technologies |
| Genres: |
Natural language and machine translation Computational and corpus linguistics Artificial intelligence Machine learning Expert systems / knowledge-based systems Computer applications in the social and behavioural sciences Computer applications in the arts and humanities |
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 features in the following genres: Natural language and machine translation, Computational and corpus linguistics, Artificial intelligence, Machine learning, Expert systems / knowledge-based systems, Computer applications in the social and behavioural sciences, Computer applications in the arts and humanities
Hardback, Paperback. £31.49, down from the £34.99 cover price. Not Available.
Vector Semantics was written by András Kornai and published by Springer Verlag, Singapore
Vector Semantics has 273 pages
Yes it is part of Cognitive Technologies series
£31.49, reduced from £34.99. Not Available.