Corpora are electronically stored and processed collections of written and/or spoken language data compiled by means balanced layered sampling representing a specific or variety. The purpose this study is to examine different approaches the use learner corpora in teaching present theoretical framework researchers evaluating existing terms various criteria. Learner have long been used field inst...

We present a novel approach for automatic collocation error correction in learner English which is based on paraphrases extracted from parallel corpora. Our key assumption is that collocation errors are often caused by semantic similarity in the first language (L1language) of the writer. An analysis of a large corpus of annotated learner English confirms this assumption. We evaluate our approac...

In order to control the quality of internet-based language corpora, we developed a method to verify automatically that texts are of (near-) native quality. For the LOCNESS and ICLE corpora, the method is rather successful in separating native and non-native learner texts. The Equal Error Rate is about 10%. However, for other domains, such as internet texts, separate classifiers have to be train...

Learner corpora are receiving special attention as an invaluable source of educational feedback and are expected to improve teaching materials and methodology. However, they include various types of incorrect sentences. Error type classification is an important task in learner corpora which enables clarifying for learners why a certain sentence is classified as incorrect in order to help learne...

At TALC 4 Guy Aston (2002) compared learner-compiled corpora to professionally produced corpora through a memorable analogy to fruit salad. While home-made fruit salad (and corpora) can entail the various benefits he enumerates, the offthe-shelf variety offers reliability and convenience, supplemented in its corpus analogue by documentation and specialized software. He proposes that learners fo...

This is a collection of papers edited by the founder and coordinator of the International Corpus of Learner English (ICLE), which brings together written texts produced by non-native speakers (NNSs) of English from a variety of European mother-tongue backgrounds. The book is divided into three parts, each composed of several papers: the first part is devoted to a general outline of the constitu...

Learner corpora consist of texts produced by non-native speakers. In addition to these texts, some learner corpora also contain error annotations, which can reveal common errors made by language learners, and provide training material for automatic error correction. We present a novel type of error-annotated learner corpus containing sequences of revised essay drafts written by non-native speak...