CDB is a relational database designed for the particular needs of representing lexical collocations. The relational model is defined such that competence-based descriptions of collocations (the competence base) and actually occurring collocation examples extracted from text corpora (the example base) complete each other. In the paper, the relational model is described and examples for the repre...

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 ...

The aim of this study is to analyse the use English politeness markers thankyou,sorryand pleasein Polish. My initial hypothesis was that have already been incorporated into mental lexicon Polish speakers, and are thus understood accepted by them, but they do not prospect replacing their equivalents because lack necessary pragmatic force. Previ-ous studies (Terkourafi 2011; Peterson & Vaatto...

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)...

The importance of collocations in the context of second language learning is generally acknowledged. Studies show that the “collocation density" in learner corpora is nearly the same as in native corpora, i.e., that use of collocations by learners is as common as it is by native speakers, while the collocation error rate in learner corpora is about ten times as high as in native reference corpo...

The importance of collocations in the context of second language learning is generally acknowledged. Studies show that the “collocation density" in learner corpora is nearly the same as in native corpora, i.e., that use of collocations by learners is as common as it is by native speakers, while the collocation error rate in learner corpora is about ten times as high as in native reference corpo...

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...

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...

A collocation is a habitual word combination. Collocational knowledge is essential for many tasks in natural language processing. We present a method for extracting collocations from text corpora. By comparison with the SUSANNE corpus, we show that both high precision and broad coverage can be achieved with our method. Finally, we describe an application of the automatically extracted collocati...