Difference between revisions of "Native Language and Dialect"

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Naismith et al. (2018) [http://d-scholarship.pitt.edu/40665/1/EDM2018_paper_37.pdf pdf]
Naismith et al. (2018) [http://d-scholarship.pitt.edu/40665/1/EDM2018_paper_37.pdf pdf]
* a model that measures L2 learners’ lexical sophistication with the frequency list based on the native speaker corpora
* Model that measures L2 learners’ lexical sophistication with the frequency list based on the native speaker corpora
* Arabic-speaking learners are rated systematically lower across all levels of human-assessed English proficiency than speakers of Chinese, Japanese, Korean, and Spanish.
* Arabic-speaking learners are rated systematically lower across all levels of human-assessed English proficiency than speakers of Chinese, Japanese, Korean, and Spanish.
* Level 5 Arabic-speaking learners are inaccurately evaluated to have similar level of lexical sophistication as Level 4 learners from China, Japan, Korean and Spain .
* Level 5 Arabic-speaking learners are inaccurately evaluated to have similar level of lexical sophistication as Level 4 learners from China, Japan, Korean and Spain .

Revision as of 08:26, 19 May 2022

Naismith et al. (2018) pdf

  • Model that measures L2 learners’ lexical sophistication with the frequency list based on the native speaker corpora
  • Arabic-speaking learners are rated systematically lower across all levels of human-assessed English proficiency than speakers of Chinese, Japanese, Korean, and Spanish.
  • Level 5 Arabic-speaking learners are inaccurately evaluated to have similar level of lexical sophistication as Level 4 learners from China, Japan, Korean and Spain .
  • When used on the ETS corpus, essays by Japanese-speaking learners with higher human-rated lexical sophistication are rated significantly lower in lexical sophistication than Arabic, Japanese, Korean and Spanish peers.


Loukina et al. (2019) pdf

  • Models providing automated speech scores on English language proficiency assessment
  • L1-specific model trained on the speaker’s native language was the least fair, especially for Chinese, Japanese, and Korean speakers, but not for German speakers
  • All models (Baseline, Fair feature subset, L1-specific) performed worse for Japanese speakers