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Computational Linguistics and Natural Language Processing

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 an...

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Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2024
Assuntos:
Altai inscription
decipherment
inscription
Old Hungarian script
Orkhon script
translation
genres
subgenres
linguistic profiling
text
NLP
error correction
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
Linear A
Minoan
cryptanalysis
computational linguistics
language decipherment
neuropsychiatric disorders
depression
dementia
hallucinations
linguistic markers
artificial intelligence
stylometry
Universal Dependencies
authorship attribution
n/a
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
Acesso em linha:ONIX_20240704_9783725813698_202
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Resumo: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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