Akademik Veri Yönetim Sistemi
Emerging Technologies and Trends in English Language Teaching, Ömer Özer,Ceyhun Yükselir, Editör, Nobel, Ankara, ss.13-36, 2023
Corpora are either used directly by language instructors to teach a
particular aspect of language or indirectly to design materials for language
teaching. They are also used to build language assessment material or
assess student writings. Reference corpora, consisting of texts by native
speakers of English, are particularly preferred over specialised corpora as
non-native teachers do not trust their language intuitions and these
corpora include the most natural language samples to help students
discover the language in context. On the other hand, learner corpora, used
by researchers to investigate learners’ interlanguage, are not broadly
utilised in language teaching as they are rather scarce due to their
laboursome development phase, and they may not represent natural
language use, given the infelicities in learner production. Recent
technological developments enable more reliable annotation of learner
corpora, and they have the potential to guide material designers, language
instructors and assessors. Current trends in learner corpus research show
that its integration with natural language processing techniques can yield
more powerful and pedagogically more convenient results. Following this
trend, this chapter (a) takes an overall look at the use of corpora in
language education, (b) introduces the fields of learner corpus and natural
language processing (NLP), (c) highlights the intersection of learner
corpora and NLP by referring to research tools used to detect L2 writing
performance, and (e) reports the results of a study investigating the
relationship between the use of multi-word expressions and overall writing
performance by incorporating learner corpus and NLP techniques.