This paper describes WriteAhead, a resource-rich, Interactive Writing Environment that provides L2 learners with writing prompts, as well as ”get it right” advice, to helps them write fluently and accurately. The method involves automatically analyzing reference and learner corpora, extracting grammar patterns with example phrases, and computing dubious, overused patterns. At run-time, as the u...

The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data. The corpus contains 2,290 learner texts produced in standardized language certifications covering CEFR levels A1–C1. The MERLIN annotation scheme includes a wide range of language characteri...

The importance of computer learner corpora for research in both second language acquisition and foreign language teaching is rapidly increasing. Computer learner corpora can provide us with data to describe the learner’s interlanguage system at different points of its development and they can be used to create pedagogical tools. In this paper, we first present a new computer learner corpora in ...

Different issues have been probed in learner corpus research since the late 1980s.However, taking the im- portance of meta discourse markers (MDMs) in signposting academic discourse, their use in Iranian EFL learners‟ academic essays is an area of research in need of a more serious analysis. Contributing to this line of investigation, this paper reports a corpus-based study of the use of MDMs i...

This paper presents the mechanisms of and criteria for compiling a new learner corpus of English, the quantitative characteristics of the corpus and a practical example of its pedagogical application. The Taiwanese Learner Corpus of English (TLCE), probably the largest annotated learner corpus of English in Taiwan so far, contains 2105 pieces of English writing (around 730,000 words) from Taiwa...

This article describes the design and construction of Tracking Written Learner Language (TRAWL) Corpus. The corpus combines several features that are all rare for learner corpora: it is longitudinal, following individual pupils over years; has data from young learners school years 5 to 13 (ages 10–18); multilingual, containing learners’ texts in L3s (French, German Spanish), L2 English L1 Norwe...

We introduce the KoKo corpus, a collection of German L1 learner texts annotated with learner errors, along with the methods and tools used in its construction and evaluation. The corpus contains both texts and corresponding survey information from 1,319 pupils and amounts to around 716,000 tokens. The evaluation of the performed transcriptions and annotations shows an accuracy of orthographic e...