This paper addresses the automatic classification of the semantic relations expressed by the English genitives. A learning model is introduced based on the statistical analysis of the distribution of genitives’ semantic relations on a large corpus. The semantic and contextual features of the genitive’s noun phrase constituents play a key role in the identification of the semantic relation. The ...

The OFAI Multimodal Task Description Corpus (OFAI-MMTD Corpus) is a collection of dyadic teacher-learner (human-human and human-robot) interactions. The corpus is multimodal and tracks the communication signals exchanged between interlocutors in task-oriented scenarios including speech, gaze and gestures. The focus of interest lies on the communicative signals conveyed by the teacher and which ...

Lexical bundles are empirically derived formulaic units of language which are register-specifi c and perform a variety of discourse functions. Because these units of language contribute to the linguistic make up of specifi c registers, they can be important indicators for determining the success of language users within these discourse communities. Therefore, language learners need to assimilat...

This paper aims to investigate the similarities & differences of Restrictive Relative Clauses (RRC) among 3 languages by comparing & contrasting parallel data extracted from a POS-tagged multilingual corpus. This research further provides examples for corpus-based language analysis & application of SLA. This investigation consists of three major works. First, we construct a POS-tagged multiling...

It is becoming more common to use corpora of second language learner data in order to support research on various second language acquisition (SLA) topics (e.g., Römer, 2009; Wulff et al., 2009), but there has been little use of corpus annotation. For many questions in SLA research, using a corpus is simple and in no need of annotation: one can search a corpus for specific words to find relevan...

Some big languages like English are spoken by a lot of people whose mother tongues are different from. Their second languages often have not only distinct accent but also different lexical and syntactic characteristics. Speech recognition performance is severely affected when the lexical, syntactic, or semantic characteristics in the training and recognition tasks differ. Language model of a sp...

The study aims to explore the salient linguistic features of Chinese lexical items from different L1s learners. The research method is corpus-based, including comparing the learner corpus and the native-speaker corpus, as well as sub-corpora for different L1s. The learner corpus which consists of more than 1.14 million Chinese words from novice proficiency to advanced learners’ texts is mainly ...

Post-positional particles are a significant source of errors for learners of Korean. Following methodology that has proven effective in handling English preposition errors, we are beginning the process of building a machine learner for particle error detection in L2 Korean writing. As a first step, however, we must acquire data, and thus we present a methodology for constructing large-scale cor...