Using latent semantic analysis to explore second language lexical development

Scott A. Crossley, Tom Salsbury, Philip McCarthy, Danielle S. McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

This study explores how Latent Semantic Analysis (LSA) can be used as a method to examine the lexical development of second language (L2) speakers. This year long longitudinal study with six English learners demonstrates that semantic similarity (using LSA) between utterances significantly increases as the L2 learners study English. The findings demonstrate that L2 learners begin to develop tighter semantic relations between utterances and words within a short period. The results have implications concerning the growth of lexical networks. This study also has important implications for inductive learning and contextualized vocabulary learning.

Original languageEnglish (US)
Title of host publicationProceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21
Pages136-141
Number of pages6
StatePublished - Nov 17 2008
Externally publishedYes
Event21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21 - Coconut Grove, FL, United States
Duration: May 15 2008May 17 2008

Publication series

NameProceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21

Other

Other21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21
CountryUnited States
CityCoconut Grove, FL
Period5/15/085/17/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Crossley, S. A., Salsbury, T., McCarthy, P., & McNamara, D. S. (2008). Using latent semantic analysis to explore second language lexical development. In Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21 (pp. 136-141). (Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21).