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Extraction and Presentation of Bilingual Correspondences from Slovak-Bulgarian Parallel CorpusIn this paper the results of the automatic extraction and presentation of bilingual correspondences from Slovak-Bulgarian Parallel corpus are described. The equivalent phrases are extracted from sentence and word level automatically aligned corpus, filtered, indexed and presented in a dictionary-like interface. The bilingual dictionary database contains 80 thousand phrase pairs consisting of approximately 350 thousand words (per each language). Counting unique word forms, the size is 31 thousand in the Slovak part of the dictionary, 26 thousand in the Bulgarian part.
EN
In this paper we describe our automatic analysis of several parallel Bulgarian-Slovak texts with the goal to obtain useful information about Slovak translation equivalents of (definite) articles and demonstrative pronouns in Bulgarian. Rather than focusing on individual translation equivalents, we present a method for automatic extraction and visualization of the translations. This can serve as a guide for pinpointing interesting features in specific translated documents and could be extended for other parts of speech or otherwise identifiable textual units.
EN
The aim of the paper is to introduce a tool that has recently been developed at the Institute of the Czech National Corpus, the Treq Translation Equivalents Database, and to explore its possible uses. These range from simple, one-shot probes while searching for an equivalent expression for a target language to more sophisticated and elaborate corpus-assisted translations. A significant advantage of Treq is the possibility of clicking on any equivalent and immediately verifying its individual occurrences in context — and thus being able to more easily distinguish relevant translation candidates from misleading ones. This utility, which is based on data stored in the InterCorp parallel corpus, is continually being upgraded and enriched with new functions (the recent integration of multi-word units, adding English as the primary language of the dictionaries, an improved interface, etc.), and the accuracy of results is growing as the volume of data continually increases.
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