This paper describes an ongoing project in which we are collecting a learner corpus of Arabic, developing a tagset for error annotation and performing Computer-aided Error Analysi...
Ghazi Abuhakema, Reem Faraj, Anna Feldman, Eileen ...
This paper presents research on building a model of grammatical error correction, for preposition errors in particular, in English text produced by language learners. Unlike most ...
Na-Rae Han, Joel R. Tetreault, Soo-Hwa Lee, Jin-Yo...
This paper describes the Error-Annotated German Learner Corpus (EAGLE), a corpus of beginning learner German with grammatical error annotation. The corpus contains online workbook...
Collocations play a significant role in second language acquisition. In order to be able to offer efficient support to learners, an NLP-based CALL environment for learning colloca...
Margarita Alonso Ramos, Leo Wanner, Orsolya Vincze...
Morphological analyzers and part-of-speech taggers are key technologies for most text analysis applications. Our aim is to develop a part-of-speech tagger for annotating a wide ra...