Session 9

Learner Corpus Mini-Research

One-liner

You will conduct learner corpus mini-research.

🎯 Learning Objectives

By the end of this session, students will be able to:

• Justify choices of lexical richness measures to investigate a research questions
• Conduct a simple statistical analysis of selected corpus on small sets of lexical measures using JASP software

🔑 Key Concepts

• Linear regression analysis (group comparison or prediction)
• Introduction to in-class mini-project

📚 Required Readings

• No new reading! (please re-read Eguchi & Kyle, 2020)

🌊 Dive Deeper - Recommended Readings

• Eguchi, M., & Kyle, K. (2023). L2 collocation profiles and their relationship with vocabulary proficiency: A learner corpus approach. Journal of Second Language Writing, 60, 100975. https://doi.org/10.1016/j.jslw.2023.100975
• Kyle, K., & Eguchi, M. (2023). Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use. The Modern Language Journal, 107(2), 531–564. https://doi.org/10.1111/modl.12845
• Kyle, K., Crossley, S. A., & Jarvis, S. (2021). Assessing the Validity of Lexical Diversity Indices Using Direct Judgements. Language Assessment Quarterly, 18(2), 154–170. https://doi.org/10.1080/15434303.2020.1844205
• Paquot, M. (2019). The phraseological dimension in interlanguage complexity research. Second Language Research, 35(1), 121–145. https://doi.org/10.1177/0267658317694221
• Siyanova‐Chanturia, A., & Spina, S. (2020). Multi‐Word Expressions in Second Language Writing: A Large‐Scale Longitudinal Learner Corpus Study. Language Learning, 70(2), 420–463. https://doi.org/10.1111/lang.12383

Materials

Slides for the session

📊 View Interactive Slides

Reflection

• You can now:
  • Provide reasons for your choice of lexical richness measures.
  • Conduct preliminary analysis to understand how text differ from one aother in relation to learner’s proficiency, learner groups, etc.
  • Brainstorm your ideas for your final project.