title: EXPANDING INDIVIDUAL MENTAL LEXICON WITH THE AID OF AI ALPACA LANGUAGE MODEL IN FOREIGN LANGUAGE TEACHING
metadata.name: dc.contributor.author
metadata.value: Gribova, Natalia N.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Schetnev, Sergey I.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-10-24T12:46:33Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-10-24T12:46:33Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024
metadata.lang: -
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/2782-1943.2023.09
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/47813
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This paper reviews the pedagogical problem of vocabulary expansion and
  spontaneous speech extension in a foreign language from the perspective of
  the psycholinguistic approaches to the study of word meaning using the tools
  of neurolinguistic models. The aim of the research is to draw up guidelines for
  the purpose of overcoming potential difficulties in the formation of foreign
  language learners’ individual lexicon in the framework of associative, parametric,
  feature-based and situational approaches to the study of word meaning
  in psycholinguistics with the aid of the Alpaca language model. In the
  course of the research, the Alpaca language model was tested. It was used to
  develop strategies and tasks that aim to expand the mental lexicon and are
  designed to develop language ability and language competence through linguistic
  awareness. The language model has shown a good level of adaptability
  to both search and text generation queries and tasks for foreign language
  learners by proficiency levels with the possibility to customize assignments according
  to the most productive channel of information perception. Currently,
  the functionality of the model enables teachers to resolve the issue of creating
  multi-level educational content for foreign language learners. The research
  findings show that higher-order tasks such as creating types of assignments
  for different perception channels, compiling miniassociative dictionaries or
  associograms, generating mind maps, working with word meanings and collocations,
  building frame structures to represent knowledge in the analysis
  of speech situations, representation of concepts using lexemes, etc., require
  some “machine learning” with the help of a teacher who always controls the
  language situation modelling and constructs the learning process in terms of
  FLT methodology.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Synergy of Languages & Cultures 2023: Interdiscipilinary Studies;
metadata.lang: -
metadata.name: dc.subject
metadata.value: individual mental lexicon
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: neuro-linguistic models
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: verbal ways of knowledge representation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: approaches to the study of word meaning in psycholinguistics
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: EXPANDING INDIVIDUAL MENTAL LEXICON WITH THE AID OF AI ALPACA LANGUAGE MODEL IN FOREIGN LANGUAGE TEACHING
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 100-119.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/47813/1/100-119.pdf
resources.format: Adobe PDF
resources.size: 715 kB