In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus to provide phrasal translation memories. The method integrates statistical and linguistic information to achieve effective extraction of bilingual collocations. The linguistic information includes parts of speech, chunks, and clauses. The method involves first obtaining an extended list of Englis...

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 ...

Collocations, i.e., recurrent word combinations such as take advantage (of), strong tea, and deeply absorbed, are receiving increasing attention in SLA research because of their importance to “native-like” production of language. Previous studies suggest that collocations pose a serious challenge to language learners and that learners’ L1 plays a crucial role in this respect. My paper aims to s...

This study investigated the relationship between Iranian EFL learners’ use of strategies in producing English collocations and their proficiency level. Participants were 115 undergraduate university students at 3 proficiency levels, that is, low, intermediate, and high, majoring in English language at the Faculty of Letters and Humanties at Shahid Chamran University of Ahvaz, Iran. Their select...

In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method comprises the following stages: (1) extracting strings of characters as units of collocations, and (2) extracting recurrent combinations of strings as collocations. Through this method, various types of domain-specific collocations can be retrieved simultaneously. This method is pr...

In research on collocations published in English we encounter, albeit rarely, the use of notion “metaphorical collocations”. It is interesting to note that seldom if ever are metaphorical defined any way these studies, suggesting researchers find term self-explanatory. However, seeing an exciting area yet draw attention from wider community researchers, aim this paper analyze current understand...

In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. The preferred syntactic patterns are obtained from idioms and collocations in a machine-readable dictionary. Phrases matching the patterns are extract from aligned sentences in a parallel corpus. Those phrases are subsequently matched up via cross-lin...

This paper presents a Natural Language Processing (NLP) approach to filter Named Entities (NE) from a list of collocation candidates. The NE are defined as the names of ’People’, ’Places’, ’Organizations’, ’Software’, ’Illnesses’, and so forth. The proposed method is based on statistical measures associated with Web resources to identify NE. Our method has three stages: (1) Building artificial ...

This paper describes the procedures involved in developing EXEC, a web-based system which can automatically extract English collocations and their Chinese-English bilingual examples from parallel corpora. The system draws on statistics, dependency parsing, and Chinese-English parallel corpora of more than 13 million English words and 27 million Chinese characters. By taking a word as well as th...