Learner’s dictionaries are at the forefront of lexicographical practice; it is through them that corpora have become standard practice, through them that the most dynamic electronic dictionaries have come onto the market. The market for such dictionaries is enormous with the big five working hard to keep and increase their share of the market. However, it may well be that they are failing to ta...

This corpus-based study compares the use of the alternating ditransitive verb TELL by native speakers and Chinese learners of English. The corpora used are the written sub-corpus of ICE-GB (the British component of International Corpus of English) and CLEC (the Chinese Learner English Corpus). CLEC consists of both lowand high-proficiency L2 learners’ writing. By incorporating corpus contrastiv...

This paper describes the Nara Institute of Science and Technology (NAIST) error correction system in the CoNLL 2013 Shared Task. We constructed three systems: a system based on the Treelet Language Model for verb form and subjectverb agreement errors; a classifier trained on both learner and native corpora for noun number errors; a statistical machine translation (SMT)-based model for prepositi...

A system is presented for inducing Categorial Grammar (CG) lexicons for natural language from either unannotated or minimally annotated corpora extracted from the Penn Treebank. A combination of symbolic and stochastic methods have been used to build a computationally e ective and psychologically plausible system, which learns linguistically useful lexicons. There are a variety of parameters in...

This paper reports on the development and the initial evaluation of a dictation&spelling prototype exercise for second language (L2) learners of Swedish based on text-to-speech (TTS) technology. Implemented on an already existing Intelligent Computer-Assisted Language Learning (ICALL) platform, the exercise has not only served as a test case for TTS in L2 environment, but has also shown a poten...

This paper analyses the use of the word where in texts written by Malay-speaking learners of English. Data from a learner corpus is compared with data from two corpora of academic writing by native English-speaker writers. Considerable over-use of where is found: this is explained as a consequence of various patterns of misuse of where and non-use of standard forms of relativization common in w...

This article attempts to analyze the differences and similarities in domain, collocation, semantic prosody of Chinese synonyms “jiǎn, qiē, kǎn, gē” native language corpus learner corpus, using online retrieval tool Sketch Engine. Firstly, usage domains word frequency distributions these four verbs are statistically analyzed. Secondly, common collocations retrieved sorted based on LogDice values...

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 collocations should be based on a representative collocation error annotated learner corpus. However, so far, no theoretically-motivated collocation error tag set is available. Existing learner corpora tag collocation errors ...

Collocational deficiency is a pervasive phenomenon in learner English. Language learners often fail to choose the correct combination of two or more words due to their unawareness of collocational properties in vocabulary. They are apt to adopt lexical simplification strategies such as using a synonymous or Ll-influenced expression. This paper presents a corpus-based study on the collocational ...

This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...