8 resultados para Phraseologisms


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Wydział Filologii Polskiej i Klasycznej: Instytut Filologii Polskiej

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Linguística e Língua Portuguesa - FCLAR

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In the field of phraseological studies, it is clear that there are no strict limits able to establish accurately the various types of word combinations. There is not even a general agreement on what units are objects of study of phraseology, nor what names they should receive. Therefore, this paper aims to raise some issues related to the different terminology used by researchers in this field, which far from providing solutions to the controversial question of phraseologisms, show that terminological profusion can not only hinder scientific advancements in this field, but also indicate that much remains to be done in the area of phraseological studies.

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In this paper we consider a broad conception of phraseology to propose a description and analysis of phraseological units of stemming diacritical Spanish / Portuguese bilingual dictionaries. The focus of the analysis seeks to show not only the organization of the macro-structure proposed by two different lexicographical works, but also to discuss the use of labels and equivalences presented. Phraseological units are understood here as diacritical phraseologisms containing unique lexias, lacking syntactic and semantic autonomy recognized by speaker only within fixed expressions.

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In this study we analyze some somatic idioms of Italian and Portuguese languages, in order to investigate the proportion in which their metaphors are the same, similar or different in both languages. This research was based on Lakoff and Johnson’s (2002 [1980]) studies about conceptual metaphor, as well as on studies about phraseologisms and idiomatic expressions developed by some authors as Zuluaga (1980), Tagnin (1989), Tonfoni and Turbinati (1995), Corpas Pastor (1996) and Xatara (1998). Through the analysis, we conclude that much of the studied expressions are structurally, semantically, and metaphorically identical or similar in both languages. These results have allowed us to make some considerations on Italian and Portuguese somatic idioms.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In any terminological study, candidate term extraction is a very time-consuming task. Corpus analysis tools have automatized some processes allowing the detection of relevant data within the texts, facilitating term candidate selection as well. Nevertheless, these tools are (normally) not specific for terminology research; therefore, the units which are automatically extracted need manual evaluation. Over the last few years some software products have been specifically developed for automatic term extraction. They are based on corpus analysis, but use linguistic and statistical information to filter data more precisely. As a result, the time needed for manual evaluation is reduced. In this framework, we tried to understand if and how these new tools can really be an advantage. In order to develop our project, we simulated a terminology study: we chose a domain (i.e. legal framework for medicinal products for human use) and compiled a corpus from which we extracted terms and phraseologisms using AntConc, a corpus analysis tool. Afterwards, we compared our list with the lists extracted automatically from three different tools (TermoStat Web, TaaS e Sketch Engine) in order to evaluate their performance. In the first chapter we describe some principles relating to terminology and phraseology in language for special purposes and show the advantages offered by corpus linguistics. In the second chapter we illustrate some of the main concepts of the domain selected, as well as some of the main features of legal texts. In the third chapter we describe automatic term extraction and the main criteria to evaluate it; moreover, we introduce the term-extraction tools used for this project. In the fourth chapter we describe our research method and, in the fifth chapter, we show our results and draw some preliminary conclusions on the performance and usefulness of term-extraction tools.