Paper Info
Title
Bilingual lexical extraction based on word alignment for improving corpus search.
Abstract
Purpose This paper aims to describe the structure of an aligned Serbian-German literary corpus (SrpNemKor) contained in a digital library Biblisa. The goal of the research was to create a benchmark Serbian-German annotated corpus searchable with various query expansions. Design/methodology/approach The presented research is particularly focused on the enhancement of bilingual search queries in a full-text search of aligned SrpNemKor collection. The enhancement is based on using existing lexical resources such as Serbian morphological electronic dictionaries and the bilingual lexical database Termi. Findings For the purpose of this research, the lexical database Termi is enriched with a bilingual list of German-Serbian translated pairs of lexical units. The list of correct translation pairs was extracted from SrpNemKor, evaluated and integrated into Termi. Also, Serbian morphological e-dictionaries are updated with new entries extracted from the Serbian part of the corpus. Originality/value A bilingual search of SrpNemKor in Biblisa is available within the user-friendly platform. The enriched database Termi enables semantic enhancement and refinement of user's search query based on synonyms both in Serbian and German at a very high level. Serbian morphological e-dictionaries facilitate the morphological expansion of search queries in Serbian, thereby enabling the analysis of concepts and concept structures by identifying terms assigned to the concept, and by establishing relations between terms in Serbian and German which makes Biblisa a valuable Web tool that can support research and analysis of SrpNemKor.
Year
DOI
Venue
2019
10.1108/EL-03-2019-0056
ELECTRONIC LIBRARY
Keywords
Field
DocType
Digital libraries,Aligned parallel corpora,Bilingual lexical resources,Lexical unit extraction,Bilingual search
Web search query,World Wide Web,Serbian,Computer science,Lexical database,Semantic enhancement,Natural language processing,Artificial intelligence,Digital library,German
Journal
Volume
Issue
ISSN
37.0
4.0
0264-0473
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jelena Andonovski100.34
Branislava Sandrih201.01
Olivera Kitanovic301.01