Análise de metáfora em corpora

Ilha do Desterro 01/2008;
Source: DOAJ


Neste trabalho, apresento maneiras de identificar metáforas em corpora. Corpora estão ficando cada vez mais fáceis de obter e propiciam uma riqueza de dados nunca vista. Porém, os corpora colocam novos desafios para o estudioso de metáfora, porque normalmente a quantidade de dados existente em um corpus supera a capacidade humana de análise de todas as ocorrências de possíveis metáforas. Proponho alguns procedimentos para análise de corpora com vistas à identificação de metáfora, focando especialmente no identificador de metáforas, um programa online dedicado exclusivamente à localização de possíveis metáforas em corpora. O uso do identificador é ilustrado por meio da análise de metáforas do presidente Lula, em um corpus contendo todos seus pronunciamentos oficiais desde sua posse, somando mais de 2 milhões de palavras.

21 Reads
  • [Show abstract] [Hide abstract]
    ABSTRACT: Children's interpretations of metaphors used in a science text and their teacher's use of explanatory metaphor are analysed and compared to identify key processes in metaphor understanding and to suggest factors that contribute to successful use of metaphor in learning science. The research adopts a Vygotskian socio-cognitive approach to metaphor in discourse. Participants are children in Years 5 and 6, aged around 10 years, and their teacher, in a UK school. The data include think-aloud protocols and teacher-led classroom discourse, analysed for metaphor processing. Sample episodes from the data are used to illustrate how conceptual knowledge is used to interpret metaphor, and how the learning potential of metaphor may be rendered ineffective by interpretation problems or by the choice of metaphor. The mediation of metaphor by a skilled teacher reveals strategies for avoiding such problems and maximising the impact of metaphor on the learning of the formalised concepts of science.
    British Educational Research Journal 09/2002; 28(5):673-688. DOI:10.1080/0141192022000015534 · 1.50 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: CorMet is a corpus-based system for discovering metaphorical mappings between concepts. It does this by finding systematic variations in domain-specific selectional preferences, which are inferred from large, dynamically mined Internet corpora.Metaphors transfer structure from a source domain to a target domain, making some concepts in the target domain metaphorically equivalent to concepts in the source domain. The verbs that select for a concept in the source domain tend to select for its metaphorical equivalent in the target domain. This regularity, detectable with a shallow linguistic analysis, is used to find the metaphorical interconcept mappings, which can then be used to infer the existence of higher-level conventional metaphors.Most other computational metaphor systems use small, hand-coded semantic knowledge bases and work on a few examples. Although CorMet's only knowledge base is WordNet (Fellbaum 1998) it can find the mappings constituting many conventional metaphors and in some cases recognize sentences instantiating those mappings. CorMet is tested on its ability to find a subset of the Master Metaphor List (Lakoff, Espenson, and Schwartz 1991).
    Computational Linguistics 03/2004; 30(1):23-44. DOI:10.1162/089120104773633376 · 1.23 Impact Factor


21 Reads
Available from