From early to future learner corpus research

Abstract

Abstract The aim of this article is to survey the field of learner corpus research from its origins to the present day and to provide some future perspectives. Key aspects of the field — learner corpus design and collection, learner corpus methodology, statistical analysis, research focus and links with related fields, in particular SLA, FLT and NLP — are compared in first-generation LCR, which extends from the late 1980s to 2000, and second-generation LCR, which covers the period from the early 2000s until today. The survey shows that the field has undergone major theoretical and methodological changes and considerably extended its range of applications. Future developments that are likely to gain ground are grouped into three categories: increased diversity, increased interdisciplinarity and increased automation.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 28 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.