Even now techniques are in common use in computational linguistics which could lead to important advances in pure linguistics, especially language acquisition and the study of language variation, if they were applied with intelligence and persistence. Reliable techniques for assaying similarities and differences among linguistic varieties are useful not only in dialectology and sociolinguistics...

We present the ILIAD project and its current results. ILIAD aims at combining statistic and linguistic approaches in order to analyse information in large documentary databases. The resulting analysis should enable a human operator to collect the information content of a set of texts without having to read it sequentially. Our current experimentation concerns the analysis of a set of abstracts ...

In this study, based on fuzzy linguistic modelling and fuzzy multi level granulation an adaptation strategy to cognitive/learning styles is presented. Fuzzy if-then rules are utilized to adaptively map cognitive/learning styles of users to their information navigation and presentation preferences through natural language expressions. The important implications of this approach are that, first, ...

Among the computational intelligence techniques employed to solve classification problems, the fuzzy rule-based classification system (FRBCS) is a popular tool capable of building a linguistic model interpretable to users. However, it may face lack of accuracy in some complex applications, by the fact that the inflexibility of the concept of the linguistic variable imposes hard restrictions on ...

Since the earliest televised debates, cognitive and political sciences have been interested in how voters respond to political candidates and their messages, both verbal and nonverbal. The present work draws from this long tradition and combines it with work on persuasion and rhetoric to inform analyses of a new corpus of debate data: 48 transcripts from the Intelligence Squared U.S. series, te...

Abstract Cognitive processes related to children involved in music are directly other cognitive the brain because is known or indirectly affect many mental processes, but we still don’t have evidence of how and which way this process takes place. Since paper deals with influence musically gifted students on development language competencies, theoretical elaboration will try analyze compare musi...

The research performed in the DeepThought project aims at demonstrating the potential of deep linguistic processing if combined with shallow methods for robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. On the basis of this approach, the feasibility of three ambitious applications will be demonstrated, namely: precise information ...

This paper, the 5 in a series of biennial progress reports, reviews the activities of the Linguistic Data Consortium with particular emphasis on general trends in the language resource landscape and on changes that distinguish the two years since LDC’s last report at LREC from the preceding 8 years. After providing a perspective on the current landscape of language resources, the paper goes on ...

In this paper we present LXGram, a general purpose grammar for the deep linguistic processing of Portuguese that delivers high precision grammatical analysis and detailed meaning representations. We present the main design features and evaluation results on the grammar’s coverage as well as its ability to produce correct grammatical analyses.

The Linguistic Data Consortium (LDC) has created various annotated linguistic data for a variety of common task evaluation programs and projects to create shared linguistic resources. The majority of these annotated linguistic data were created with highly customized annotation tools developed at LDC. The Annotation Graph Toolkit (AGTK) has been used as a primary infrastructure for annotation t...