A guerra EUA x Iraque no discurso jornalístico: análise léxico-semântica das unidades de denominação

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modelo linguístico-computacional para um dicionário analógico digital

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Polyset: modelo linguístico-computacional para a estruturação de redes de polissemia de nominais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Polissemia em phrasal verbs: uma concepção semântico-cognitiva de análise e aplicação didática

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Modelagem léxico-ontológica do domínio patrimônio cultural de São Luís do Maranhão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Construção e ancoragem ontológica do vocabulário básico bilíngë do turismo para fins didáticos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Structuring an ontology of the basic vocabulary of tourism

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Anatomy of word and sentence meaning

Reading and listening involve complex psychological processes that recruit many brain areas. The anatomy of processing English words has been studied by a variety of imaging methods. Although there is widespread agreement on the general anatomical areas involved in comprehending words, there are still disputes about the computations that go on in these areas. Examination of the time relations (circuitry) among these anatomical areas can aid in understanding their computations. In this paper, we concentrate on tasks that involve obtaining the meaning of a word in isolation or in relation to a sentence. Our current data support a finding in the literature that frontal semantic areas are active well before posterior areas. We use the subject’s attention to amplify relevant brain areas involved either in semantic classification or in judging the relation of the word to a sentence to test the hypothesis that frontal areas are concerned with lexical semantics and posterior areas are more involved in comprehension of propositions that involve several words.

New trends in natural language processing: statistical natural language processing.

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and information-theoretic techniques, with traditional symbolic methods. This work is made possible by the recent availability of linguistic databases that add rich linguistic annotation to corpora of natural language text. Already, these methods have led to a dramatic improvement in the performance of a variety of NLP systems with similar improvement likely in the coming years. This paper focuses on these trends, surveying in particular three areas of recent progress: part-of-speech tagging, stochastic parsing, and lexical semantics.

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

Linguistic Corpora as International Cultural Heritage: The Corpus of Bulgarian and Ukrainian Parallel Texts

The paper relates about our ongoing work on the creation of a corpus of Bulgarian and Ukrainian parallel texts. We discuss some differences in the approaches and the interpretation of some concepts, as well as various problems associated with the construction of our corpus, in particular the occasional ‘nonparallelism’ of original and translated texts. We give examples of the application of the parallel corpus for the study of lexical semantics and note the outstanding role of the corpus in the lexicographic description of Ukrainian and Bulgarian translation equivalents. We draw attention to the importance of creating parallel corpora as objects of national as well as global cultural heritage.

Comparative study of the lexicon of speakers of different religious

This work is part of the studies of Lexical Semantics and aims to compare the speakers lexicon of four different religions in four different types of texts. It starts from the assumption that religious speaker tends to keep its religious lexicon as a way of maintaining belief and block new doctrines. Thus, in addition to make use of a specific lexicon, the speaker tends to spreads it to other contexts of use. This shows how lexical and social reality are closely linked. For this research, were adopted as theoretical assumptions Structural Semantics, with an emphasis on Lexical Field Theory, Social Lexicology and Corpus Linguistics. The analyzed data confirmed the initial hypothesis that these speakers go beyond the religious context and make use of the religious lexicon in nonreligious contexts, specifically in not overtly religious texts. In addition, they showed that there is an approximation between churches of similar doctrines in some contexts, but, surprisingly, also doctrinally distinct churches in other contexts.

Probed serial recall in Williams syndrome: Lexical influences on phonological short-term memory

Williams syndrome is a genetic disorder that, it has been claimed, results in an unusual pattern of linguistic strengths and weaknesses. The current study investigated the hypothesis that there is a reduced influence of lexical knowledge on phonological short-term memory in Williams syndrome. Fourteen children with Williams syndrome and 2 vocabulary la matched control groups, 20 typically developing children and 13 children with learning difficulties, were tested on 2 probed serial-recall tasks. On the basis of previous findings, it was predicted that children with Williams syndrome would demonstrate (a) a reduced effect of lexicality on the recall of list items, (b) relatively poorer recall of list items compared with recall of serial order, and (c) a reduced tendency to produce lexicalization errors in the recall of nonwords. in fact, none of these predictions were supported. Alternative explanations for previous findings and implications for accounts of language development in Williams syndrome are discussed.