In this paper, we propose a new aggregation operator under uncertain pure linguistic environment called the induced uncertain pure linguistic hybrid averaging aggregation (IUPLHAA) operator. Some of the main advantages and properties of the new operator are studied. Moreover, in the situations where the given arguments about all the attribute weights, the attribute values and the expert weights...

This paper proposes a hybrid approach to the design of a compact fuzzy rule-based classi>cation system with a small number of linguistic rules. The proposed approach consists of two procedures: rule extraction from a trained neural network and rule selection by a genetic algorithm. In this paper, we first describe how linguistic rules can be extracted from a multilayer feedforward neural networ...

This paper addresses the issue of "algorithm vs. representation" for case-based learning of linguistic knowledge. We first present empirical evidence that the success of case-based learning methods for natural language processing tasks depends to a large degree on the feature set used to describe the training instances. Next, we present a technique for automating feature set selection for case-...

Linguistic terms are often used to represent the truth degree or credibility degree to manage the uncertainty or imprecision as one of popular ways of knowledge representation in the perception-based decision making problem. This present work represents the credibility of uncertain knowledge using linguistic values. The linguistic-valued credibility is then modeled based on a lattice ordered lo...

In this contribution a new matching function for a symmetrical threshold semantics is presented. It can be interpreted as a tuning of that proposed in [10] which was defined using an ordinal fuzzy linguistic approach. This new matching function is defined using a 2-tuple fuzzy linguistic approach and, consequently, avoids the loss of precision and information in final results. On the other hand...

This paper discusses linguistic annotation issues, essential to a corpus-based approach to modelling the language use of foreign language learners in various contexts. We focus on learners of English and describe the corpora we use as well as the linguistic approach underlying their development. We present a scheme for describing grammatical choices and meaning components expressed in texts pro...

In this paper we present IDEAL+, a parsing architecture for Italian, which pursues the goal of pairing robustness with deep linguistic analysis by extending a shallow processing kernel with a pool of hybrid constraints for the incremental identification of grammatical relations. The parsing output takes the form of dependency structures representing the full range of instantiated functional rel...

This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst, under a contract with the European Language resources Distribution Agency (ELDA). The corpus consists of 30 hours of recordings transcribed and annotated with conventions similar to those adopted by the Linguistic Data Consortium for the DARPA HUB-4 corpora. The corpus will be completed and rel...

This presentation reports on recent progress the Linguistic Data Consortium has made in addressing the needs of multiple research communities by collecting, annotating and distributing, simplifying access and developing standards and tools. Specifically, it describes new trends in publication, a sample of recent projects and significant improvements to LDC Online that improve access to LDC data...

This paper describes the collection of the H1 Corpus of children’s weekly writing over the course of 3 months in 2nd and 3rd grades, aged 7-11. The texts were collected within the normal classroom setting by the teacher. Texts of children whose parents signed the permission to donate the texts to science were collected and transcribed. The corpus consists of the elicitation techniques, an overv...