Automatic (or semi-automatic) ontology building is a current issue in many application fields where ontologies are currently built manually. This paper presents a user-centred methodology for ontology construction based on the use of Machine Learning and Natural Language Processing. In our approach, the user starts the process by initially sketching a preliminary ontology (or selecting an exist...

Though there is a long tradition of research into word order phenomena in Second Language (L2) acquisition, this area of enquiry has recently been given a new impetus both from theoretical developments on the form-function interplay and, crucially, from the emergence of learner corpora This paper focuses on a particular phenomenon which has received considerable attention in the literature: the...

One of the reasons for the popularity of dependency approaches in recent computational linguistics is their ability to efficiently derive the core functorargument structure of a sentence as an interface to semantic interpretation. Exploring this feature of dependency structures further, in this paper we show how basic dependency representations can be mapped to semantic representation as used i...

We present our correction annotation guidelines to create a manually corrected nonnative (L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus and its manual corrections, to include manually corrected non-native Arabic learner essays. Our overarching goal is to use the annotated corpus to develop components for automatic detection and correction of language er...

NLP applications for learners often rely on annotated learner corpora. Thereby, it is important that the annotations are both meaningful for the task, and consistent and reliable. We present a new longitudinal L1 learner corpus for German (handwritten texts collected in grade 2–4), which is transcribed and annotated with a target hypothesis that strictly only corrects orthographic errors, and i...

Learner corpora collect the language produced by people learning their first or a second language. Natural Language Processing (NLP) deals with the representation and the automatic analysis and generation of human language. The two thus overlap in the representation and automatic analysis of learner language, which constitutes the topic of this chapter. As such, the chapter focuses on one of th...

The purpose of this three-year study is to examine the effects of internet communication on second language acquisition. Specifically, we are interested in how communicating with native speakers of the target language may affect language learning, and how that contact interacts with different modes of electronic communication. The project is being conducted by a large American university (the P...

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...

This study investigated the erroneous use of high-frequency verb TAKE by Chinese college learners English as a foreign language (EFL), aiming to identify similarities and differences between EFL learners, aimed at finding out more effective ways for teaching researching verbs. Corpus-based Contrastive Interlanguage Analysis Error were carried in present study, with subcorpora ST4 ST6 CLEC (Chin...