In this paper we discuss the problem of discovering interesting word sequences in the light of two traditions: sequential pattern mining (from data mining) and collocations discovery (from computational linguistics). Smadja (1993) defines a collocation as “a recurrent combination of words that cooccur more often than chance and that correspond to arbitrary word usages.” The notion of arbitrarin...

Automatic extraction of collocations from a corpus is a well-known problem in the field of natural language processing. It is typically carried out by employing some kind of a statistical measure that indicates whether or not two words occur together more often than by chance. A fuzzy set theoretic approach for extracting collocations from a text collection is described in this article. This ap...

Identifying collocations in a sentence, in order to ensure their proper processing in subsequent applications, and performing the syntactic analysis of the sentence are interrelated processes. Syntactic information is crucial for detecting collocations, and vice versa, collocational information is useful for parsing. This article describes an original approach in which collocations are identifi...

Collocations, or restricted lexical co-occurrence, are a difficult issue in natural language processing because their semantics cannot be derived from the semantics of their constituents. Therefore, such verb-noun combinations as “take a break,” “catch a bus,” “have lunch” can be interpreted incorrectly by automatic semantic analysis. Since collocations are combinations frequently used in texts...

Collocations such as heavy rain or make [a] decision, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners, who usually struggle to find the right collocate to express a particular meaning, e.g., both heavy and strong express the...

As Chinese text is written without word boundaries, effectively recognizing Chinese words is like recognizing collocations in English, substituting characters for words and words for collocations. However, existing topical models that involve collocations have a common limitation. Instead of directly assigning a topic to a collocation, they take the topic of a word within the collocation as the...

In this article we propose a rank aggregation method for the task of collocations detection. It consists of applying some well-known methods (e.g. Dice method, chi-square test, z-test and likelihood ratio) and then aggregating the resulting collocations rankings by rank distance and Borda score. These two aggregation methods are especially well suited for the task, since the results of each ind...

We present a method of the structural collocations extraction for an inflective language (Polish) based on the process divided into two phases: extraction and filtering of the pairs of wordforms reduced to baseforms and structural annotation of the extracted collocations with lexico-syntactic patterns. The parameters of the patterns are specified manually but their instances are generated and t...

Natural languages are full of word collocations that frequently co-occur and correspond to arbitrary word usages. They appear in both technical and non-technical textual corpora and often have specific significance in individual contexts. Accurately retrieving and identifying collocations from a given corpus in an unsupervised manner is imperative to understanding and automatically generating t...

ABSTRAK: Aspek leksikal dan gramatikal perlu dikuasai anak dalam pembelajaran bahasa Indonesia pada jenjang Sekolah Dasar dengan memanfaatkan lagu berbasis multiple intelligence untuk mendukung perkembangan kompetensi kebahasaannya. Artikel ini bertujuan mendeskripsikan tiga fokus penelitian, yaitu (1) aspek leksikal, (2) gramatikal, (3) muatan Indonesia. Penelitian merupakan sistematik review ...