In this paper, we present a method based on data mining techniques to automatically discover linguistic patterns matching appositive qualifying phrases. We develop an algorithm mining sequential patterns made of itemsets with gap and linguistic constraints. The itemsets allow several kinds of information to be associated with one term. The advantage is the extraction of linguistic patterns with...

The current research is devoted to developing methods of a novel mathematical interpretation of term-sets of linguistic variables. To the term-sets of the linguistic variables fuzzy sets are assigned. We intend to adopt the sfunctions and the π-functions to derive formulas of membership functions of these sets. The fuzzy sets are divided in three families in the case of an odd number of the ter...

The practice of ‘writing to learn’ has been propounded as fast-tracking the dynamic process of noticing problems in L2 writing. However, a marked melioration in learners’ attempted output requires a form of corrective feedback, among which modeling has proven to bear vigorous input enhancement effects. The present study attempted to inspect what EFL learners notice throughout their own output a...

Linguistic competence is a term we associate with Chomsky (e.g. 1965: Ch 1), who made the distinction between people’s knowledge of language (competence), and that knowledge put to use in real situations (performance). Competence is an aspect of our mental capacity underlying our use of language. Chomsky’s conception of linguistic competence is purely syntactic, while it is a more comprehensive...

World-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous amounts of use, efficient and effective web retrieval has become a very important research topic in this field. Techniques of web mining have thus been requested and developed to achieve this ...

In Group Decision Making (GDM) the automatic consensus models are guided by different consensus measures which usually are obtained by aggregating similarities observed among experts’ opinions. Most GDM problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions. However, there exist problems whose assessments need to be ...

The paper deals with the rigorous methods used in the research of concepts representing abstract notions like “friendship”, “love”, “hatred”, “conscience”, and “envy”. Concepts of that kind have no visible physical support in the material world except for the sound forms of the words representing them, thus causing additional difficulties in classification, research and analysis as well as stip...

This paper describes efforts by the University of Pennsylvania's Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotations, tools and infrastructure – to support the Spring 2007 (RT-07) Rich Transcription Meeting Recognition Evaluation. In addition to making available large volumes of training data to research participants, LDC produced refere...