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Dictionary based Amharic - English information retrieval
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0003-4042-4919
2004 (English)In: CEUR Workshop Proceedings, CEUR-WS , 2004Conference paper (Refereed)
Abstract [en]

We present two approaches to the Amharic - English bilingual track in CLEF 2004. Both experiments use a dictionary based approach to translate the Amharic queries into English Bags-of-words, but while one approach removes non-content bearing words from the Amharic queries based on their IDF value, the other uses a list of English stop words to perform the same task. The resulting translated (English) terms are then submitted to a retrieval engine that supports the Boolean and vector-space models. In our experiments, the second approach (based on a list of English stop words) performs slightly better than the one based on IDF values for the Amharic terms.

Place, publisher, year, edition, pages
CEUR-WS , 2004.
Keyword [en]
Vector spaces, Amharic queries, Bilingual tracks, CLEF 2004, Retrieval engines, Stop word, Vector space models, Digital libraries
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-196210ScopusID: 2-s2.0-84978086860OAI: oai:DiVA.org:kth-196210DiVA: diva2:1046412
Conference
2004 Cross Language Evaluation Forum Workshop, CLEF 2004, co-located with the 8th European Conference on Digital Libraries, ECDL 2004, 15 September 2004 through 17 September 2004
Note

Conference Paper. QC 20161114

Available from: 2016-11-14 Created: 2016-11-14 Last updated: 2016-11-14Bibliographically approved

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ReferencesLink to record
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