Cross-language mining and retrieval
Publication Type
Book Chapter
Publication Date
2-2017
Abstract
Cross-language mining is a task of text mining dealing with the extraction of entities and their counterparts expressed in different languages. The interested entities may be of various granularities from acronyms, synonyms, cognates, proper names to comparable or parallel corpora. Cross-Language Information Retrieval (CLIR) is a sub-field of information retrieval dealing with the retrieval of documents across language boundaries, i.e., the language of the retrieved documents is not the same as the language of the queries. Cross-language mining usually acts as an effective means to improve the performance of CLIR by complementing the translation resources exploited by CLIR systems.
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Encyclopedia of Database Systems
Editor
LIU, Ling; OZSU, Tamer
First Page
523
Last Page
528
ISBN
9780387355443
Identifier
10.1007/978-1-4899-7993-3_89-3
Publisher
Springer
City or Country
US
Citation
GAO, Wei and NIU, Cheng.
Cross-language mining and retrieval. (2017). Encyclopedia of Database Systems. 523-528.
Available at: https://ink.library.smu.edu.sg/sis_research/4610
Additional URL
https://doi.org/10.1007/978-1-4899-7993-3_89-3