Extraction and Presentation of Bilingual Correspondences from Slovak-Bulgarian Parallel Corpus

Abstract

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.

Bilingual lexical extraction based on word alignment for improving corpus search

“…In several cases, the bilingual lists of MWUs were compiled to improve statistical machine translation of an existing machine translation system (Arcan et al , 2017; Bouamor et al , 2012; Irvine and Callison-Burch, 2016; Naguib, 2016; Oliver, 2017; Semmar, 2018; Tsvetkov and Wintner, 2010), for the development of an existing language resource in a target language on the basis of a corresponding resource in a source language – examples include the development of the Slovenian WordNet (Vintar and Fišer, 2008) based on the English WordNet and the development of the bilingual terminology based on the aligned corpora for the library and information science domain (Krstev et al , 2018) – or for the presentation of bilingual correspondences between two languages – for example, correspondences between Slovak-Bulgarian parallel corpus (Garabík and Dimitrova, 2015).…”

“…Some of these approaches rely on the existence of a seed lexicon (Semmar, 2018; Tsvetkov and Wintner, 2010; Xu et al , 2015) or existing translation memories and phrase tables (Oliver, 2017), while in some cases the existence of additional resources, in addition to the input corpus, is not required (Arcan et al , 2017; Bouamor et al , 2012; Garabík and Dimitrova, 2015; Naguib, 2016). Some approaches require parallel sentence-aligned data (Arcan et al , 2017; Bouamor et al , 2012; Garabík and Dimitrova, 2015; Semmar, 2018; Zhang and Wu, 2012), while others perform the extraction on comparable corpora (Hazem and Morin, 2016; Pinnis et al , 2012; Xu et al , 2015). The technique employed in Naguib (2016), used groups of aligned sentences (verses).…”

“…In Irvine and Callison-Burch (2016), the authors performed two experiments, the first one relying on the existence of a bilingual dictionary with no parallel texts and the second one requiring only the existence of a small amount of parallel data. Bilingual lexica were compiled for different language pairs: English/French (Bouamor et al , 2012; Hakami and Bollegala, 2017; Semmar, 2018), English/Spanish (Oliver, 2017), English/Arabic (Naguib, 2016), English/Italian and English/German (Arcan et al , 2017), English/Slovene (Vintar and Fišer, 2008), English/Croatian, Latvian, Lithuanian and Romanian (Pinnis et al , 2012), English/Chinese (Xu et al , 2015; Zhang and Wu, 2012), English/Hebrew (Tsvetkov and Wintner, 2010), English/Italian (Arcan et al , 2017), Slovak/Bulgarian (Garabík and Dimitrova, 2015), Serbian/English (Krstev et al , 2018) and so on.…”