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 ...

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

A response signal, speed–accuracy tradeoff (SAT) variant of a same–different category task was used to examine how experience affects the speed and accuracy of retrieving conceptual information in first (L1) and second (L2) languages. Conceptual retrieval was evaluated in three bilingual groups: 10 balanced bilinguals with equal proficiency in Russian (L1) and English (L2); 9 Russian-dominant b...

This paper describes how to automatically classify the functional relations from the Factotum knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prepositional relation indicators from corpus data. It also uses lexical collocations (i.e., word associations) and class-based collocations based on the WordNet hypernym relations (i.e., is-subset-of)...

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 proposes a new method to find correspondences of uninterrupted collocations from Japanese-English bilingual corpora without sentence-to-sentence alignment. Uninterrupted collocations in English such as “once again”, “give up”, or “gross national product” handled as a single word or a compound word in Japanese, can be automatically extracted with corresponding Japanese words using wor...

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...

Statistical bilingual word alignment has been well studied in the context of machine translation. This paper adapts the bilingual word alignment algorithm to monolingual scenario to extract collocations from monolingual corpus. The monolingual corpus is first replicated to generate a parallel corpus, where each sentence pair consists of two identical sentences in the same language. Then the mon...

This paper describes a statistical methodology ibr automatically retrieving collocations from POS tagged Korean text using interrupted bigrams. The free order of Korean makes it hard to identify collocations. We devised four statistics, 'frequency', 'randomness', 'condensation', and 'correlation' .to account for the more flexible word order properties of Korean collocations. We extracted meanin...

stemming is the process of finding the main morpheme of a word andit is used in natural language processing, text mining and informationretrieval systems. a stemmer extracts the stem of the words. we can classifypersian stemmers in to three main classes: structural stemmers, dictionarybased stemmers and  statistical stemmers.the precision of structural stemmers is low and the expenses of dictio...