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...

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...

The Ngram Statistics Package (Text::NSP) is freely available open-source software that identifies ngrams, collocations and word associations in text. It is implemented in Perl and takes advantage of regular expressions to provide very flexible tokenization and to allow for the identification of non-adjacent ngrams. It includes a wide range of measures of association that can be used to identify...

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...

the mental association and the innovation of lingual and artistic relations on two syntagmatic and paradigmatic axis results in collocation in a literary speech. in the ordinary and formal language collocation is the necessary condition for a speech to be considered meaningful and coherent, but in literary language, there is a variety of aesthetic creativities and innovations that leads to the ...

This chapter describes a class of word groups that lies between idioms and free word combinations. Idiomatic expressions are those in which the semantics of the whole cannot be deduced from the meanings of the individual constituents. Free word combinations have the properties that each of the words can be replaced by another without seriously modifying the overall meaning of the composite unit...