In this paper we report on an unsupervised approach to learning Categorial Grammar (CG) lexicons. The learner is provided with a set of possible lexical CG categories , the forward and backward application rules of CG and unmarked positive only corpora. Using the categories and rules, the sentences from the corpus are probabilis-tically parsed. The parses and the history of previously parsed se...

We demonstrate how data-driven approaches to learner corpora can support Second Language Acquisition research when integrated with visualisation tools. We employ a visual user interface supporting the investigation of a set of automatically determined features discriminating between pass and fail First Certificate in English (FCE) exam scripts. We illustrate how the interface can support the in...

Up until today research in various educational and linguistic domains such as learner corpus research, writing or second language acquisition has produced a substantial amount of data the form L1 L2 corpora. However, multitude individual solutions combined with domain-inherent obstacles sharing have so far hampered comparability, reusability reproducibility results. In this article, we present ...

The paper describes the learner corpus composed of English essays written by native Russian speakers. REALEC (Russian Error-Annotated Learner English Corpus) is an error-annotated, available online corpus, now containing more than 200 thousand word tokens in almost 800 essays. It is one of the first Russian ESL corpora, dynamically developing and striving to improve both in size and in features...

This paper describes our use of phrasebased statistical machine translation (PBSMT) for the automatic correction of errors in learner text in our submission to the CoNLL 2013 Shared Task on Grammatical Error Correction. Since the limited training data provided for the task was insufficient for training an effective SMT system, we also explored alternative ways of generating pairs of incorrect a...

I Detmar Meurers (2012). Natural Language Processing and Language Learning. Encyclopedia of Applied Linguistics, edited by Carol A. Chapelle. Blackwell. 4193–4205. I Detmar Meurers (2015). Learner Corpora and Natural Language Processing. The Cambridge Handbook of Learner Corpus Research, edited by Sylviane Granger, Gaëtanelle Gilquin and Fanny Meunier. Cambridge University Press. I Luiz Amaral ...

In many language learning scenarios, it is important to anticipate spelling errors. We model the spelling difficulty of words with new features that capture phonetic phenomena and are based on psycholinguistic findings. To train our model, we extract more than 140,000 spelling errors from three learner corpora covering English, German and Italian essays. The evaluation shows that our model pred...