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This paper presents a novel version of ExATO, a term extractor originally designed to extract relevant terms from corpora in Portuguese. In this new version not only corpora in Portuguese can be handled, but also texts in English are accepted. This extension is likely to offer the same quality pattern already achieved for Portuguese. In this paper, we draw the analysis of results in parallel corpora...
This paper proposes a new relevance index for terms extracted from domain corpora. We call it term frequency, disjoint corpora frequency (tf-dcf), and it is based on the absolute frequency of each term tempered by its frequency in other (contrasting) corpora. Conceptual differences and mathematical computation of the proposed index are discussed in respect with other similar approaches that also take...
Estimate the relevance of extracted terms through indices based on contrastive corpora is acknowledged to be efficient. Unfortunately, there is no ground rules to help practitioners and researchers to choose adequate contrastive corpora. In this paper, we present an extensive analysis of different options of contrastive corpora for seven different target corpora. It is our goal to show that the impact...
This paper proposes a method to enhance lexica by processing domain specific corpora. The proposed method relies on the identification of the more relevant unknown terms in each domain corpus. The innovative points of the proposed approach is to automatically detect unknown terms using MTMDD technology to handle lexical structures, and to automatically rank and identify domain specific terms using...
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