Computational Linguistics and Natural Language Processing

doi:10.3390/books978-3-7258-1370-4

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Computational Linguistics and Natural Language Processing

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June 2024

264 pages

ISBN978-3-7258-1369-8 (Hardback)
ISBN978-3-7258-1370-4 (PDF)

https://doi.org/10.3390/books978-3-7258-1370-4 (registering)

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This book is a reprint of the Special Issue Computational Linguistics and Natural Language Processing that was published in

Computer Science & Mathematics

Summary

This Special Issue presents selected papers on various topics of computational linguistics and natural language processing from leading international experts. The topics range from sentiment analysis, linguistic profiling, and higher-order logical representation and methods to the decipherment of ancient scripts. The linguistic-profiling methods described in this Special Issue enable one to identify the salient features of poems and novels, classify various types of fiction as fables, myths, mystery, romance, thriller, legends, or science fiction, distinguish between human-written or machine-generated texts, and diagnose neuropsychiatric diseases. The Lindenmayer system and other higher-order logical representations have been used to describe complex linguistic phenomena and better communicate with chatbots. Finally, the decipherment of scripts has been considered in three papers, including one which investigates the Minoan Linear A script.

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Hardback

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Keywords

Altai inscription; decipherment; inscription; Old Hungarian script; Orkhon script; translation; genres; subgenres; linguistic profiling; text; NLP; decipherment; error correction; inscription; Old Hungarian Runic script; sign; similarity matrix; tamga; L-system; genetic algorithm; grammatical inference; ChatGPT; sentimental analysis; BERT; machine learning; LDA; app reviewers; deep learning; word sense disambiguation; knowledge-based; supervised; unsupervised; Hindi language; text generation; large language models; machine-generated text detection; specialized NLP system for poetry; automatic poetic analysis; visualization of linguistic and poetic content; Sound–Sense matching algorithm; phonetic and phonological analysis; automatic lexical and semantic sentiment analysis; computing irony; appraisal theory framework; logical semantics; predicate logic; natural language processing; large language models; Linear A; Minoan; cryptanalysis; computational linguistics; language decipherment; neuropsychiatric disorders; depression; dementia; hallucinations; linguistic markers; natural language processing; artificial intelligence; stylometry; Universal Dependencies; authorship attribution; n/a

Computational Linguistics and Natural Language Processing

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