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Journal of Computer-Assisted Linguistic Research - Vol 08 (2024)

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Journal of Computer-Assisted Linguistic Research - Vol 08 (2024)

 
 

Tabla de contenidos


Artículos

  • A Comprehensive Review of Sign Language Production
  • FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
  • Does ChatGPT have sociolinguistic competence?
  • Two linguistic levels of lexical ambiguity and a unified categorical representation

Envíos recientes

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    Two linguistic levels of lexical ambiguity and a unified categorical representation 
    Song, Chenchen (Universitat Politècnica de València, 2024-11-15)
    [EN] Lexical disambiguation is one of the oldest problems in natural language processing. There are three main types of lexical ambiguity: part-of-speech ambiguity, homonymy, and polysemy, typically divided into two tasks ...
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    FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension 
    Kale, Sahil; Khaire, Gautam; Patankar, Jay (Universitat Politècnica de València, 2024-11-15)
    [EN] Frequently Asked Questions (FAQs) refer to the most common inquiries about specific content. They serve as content comprehension aids by simplifying topics and enhancing understanding through succinct presentation of ...
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    Does ChatGPT have sociolinguistic competence? 
    Duncan, Daniel (Universitat Politècnica de València, 2024-11-15)
    [EN] Large language models are now able to generate content- and genre-appropriate prose with grammatical sentences. However, these targets do not fully encapsulate human-like language use. For example, set aside is the ...
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    A Comprehensive Review of Sign Language Production 
    Tuveri, Franco (Universitat Politècnica de València, 2024-11-15)
    [EN] Sign languages are made up of phonological, morphological, syntactic and semantic levels of structure that satisfy the same social, cognitive and communicative purposes as other natural languages and represent the ...