We present a framework of L-fuzzy modifiers for L being a complete lattice. They are used to model linguistic hedges that act on linguistic terms represented by L-fuzzy sets. In the modelling process the context is taken into account by means of L-fuzzy relations, endowing the L-fuzzy modifiers with a clear inherent semantics. To our knowledge, these L-fuzzy modifiers are the first ones propose...

Clustering mechanisms are important for many NLP tasks such as knowledge acquisition, term extraction and disambiguation, machine translation and ontology building. Our approach fo-cuses on the clustering of terminological contexts as a bootstrapping method for such tasks. While most techniques involve statistical methods , we combine syntactic and semantic information about terms and their con...

This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the...

The present paper discusses the principles of designing a system for man-computer di~lo6ue in natural, language. The system is being elaborated at the Laboratory of Mathematical Linguistics at the Institute of Mathematics with Computer Center of the Bulgarian Academy of Sciences. The desorlbed system requires: I. A form~ description of the syntax of basic nuclear structures of the natural lanEu...

Web server workload forecasting is one of the essential considerations in web server management and network upgrading. Due to variability of server workload distribution originated from unpredictable users’ surfing behavior, the measurement of Web server performance metrics is characterized and modeled in fuzzy manner. A fuzzy inference system is formed using four Web server performance metrics...

This paper describes UNITRAN, an implemented machine translation system that translates Spanish, English, and German bidirectionally. The primary characteristic of UNITRAN is that it operates cross-linguistically (i.e., uniformly across all languages), while still accounting for knowledge that is specific to each language. The task of cross-linguistic translation is difficult because there are ...

In this paper, we present our recent experience in constructing a first-of-its-kind functional corpus based on the theoretical framework of Systemic Functional Linguistics. Annotated on selected texts from the Penn Treebank, the corpus was built by a collaborative team on web-based annotation platform with several advanced features. After a discussion on the background and motivation of the pro...

K E Y W O R D S : agency, emergence, identity, ideology, indexicality, interaction, intersubjectivity, positioning, sociocultural linguistics, stance, style

Employee being knowledge asset for an organization, employee evaluation is carried out by the organizations for performance appraisal and rewards to be given to the employees. Employee evaluation represents a critically important decision that often involves subjective information. An impartial assessment of this subjective information is difficult. Thus employee evaluation is vague, uncertain ...

We introduce a model for the linguistic hedges ‘very’ and ‘quite’ within the label semantics framework, and combined with the prototype and conceptual spaces theories of concepts. The proposed model emerges naturally from the representational framework we use and as such, has a clear semantic grounding. We give generalisations of these hedge models and show that they can be composed with themse...