This paper presents a new strategy for multilingual collocation extraction which takes advantage of parallel corpora to learn bilingual word-embeddings. Monolingual collocation candidates are retrieved using Universal Dependencies, while the distributional models are then applied to search for equivalents of the elements of each collocation in the target languages. The proposed method extracts ...

The massive amount of digital information available in all disciplines has generated a critical need to organize and structure their content. Among the existing tools for languages such as English or French can easily be adapted to Arabic language. In some cases a simple configuration is sufficient while in other cases significant modifications must be made to obtain acceptable results. We pres...

A key data preparation step in Text Mining, Term Extraction selects the terms, or collocation of words, attached to specific concepts. In this paper, the task of extracting relevant collocations is achieved through a supervised learning algorithm, exploiting a few collocations manually labelled as relevant/irrelevant. The candidate terms are described along 13 standard statistical criteria meas...

The paper presents technique and analysis to discover distributional thesauri relations by using statistical similarity of different word’s contexts. The application uses educational electronic text corpus and the Sketch Engine software statistical search to extract and compare word’s collocations from the related text corpus. The semantic search used is based on the evaluation and comparison o...

The paper presents approach to analyze semantic content of academic subjects and its internal relations using statistically-based techniques for collocation extraction from large electronic educational text corpus. It offers a survey and analysis of some related corpus-based approaches to extract conceptual relations used for educational purpose and presents a technique for semantic search of c...

Collocations have recently received increased attention in applied linguistic studies; however, still relatively little is known about the way in which collocations are used by speakers of foreign languages. This article provides an overview of the research which has been carried out in this area, and makes some suggestions as to the directions for future investigations. Collocations are unders...

This paper summerizes the technical specifications and design principles of an online search tool we developed to help English as a Second Language (ESL) learners in certain aspects of writing. The problem we identified is the confusion caused by either first language interference (L1 interference) whereby literal translation erroneously combines with English words, or because certain words in ...

In this paper we present a new statistical approach to opinion detection and its’ evaluation on the English, Chinese and Japanese corpora. Besides, the proposed method is compared with three baselines, namely Naïve Bayes classifier, a language model and an approach based on significant collocations. These models being language independent are improved with the use of language-dependent techniqu...

Collocational competence is of critical importance to EFL learners’ language proficiency. Due limited research on L1 influence L2 development receptive and productive knowledge adjective + noun collocations, especially in the context Vietnam, this study an attempt address these gaps by investigating whether Vietnamese learners could recognize use congruent English collocations more accurately t...

Abstract This study examined the processing and acquisition of novel words their collocates (i.e., that frequently co-occur with other words) from reading effect frequency exposure on this process. First second language speakers English read a story 1) eight exposures adjective-pseudoword collocations, 2) four same or 3) control collocations. Results recall recognition tests showed participants...