DocumentCode
1561312
Title
On Arabic-English cross-language information retrieval: a machine translation approach
Author
Aljlayl, Mohammed ; Frieder, Ophir ; Grossman, David
Author_Institution
Inf. Retrieval Lab., Illinois Inst. of Technol., Chicago, IL, USA
fYear
2002
Firstpage
2
Lastpage
7
Abstract
Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.
Keywords
information retrieval; language translation; software performance evaluation; ALKAFI; Arabic-English cross-language information retrieval; TREC-7 collections; TREC-7 topics; TREC-9 collections; TREC-9 topics; context information; language translation; machine translation system; query length; query translation; translation performance; Demography; Dictionaries; Humans; Information retrieval; Laboratories; Natural languages; Shape; Speech; Tongue; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2002. Proceedings. International Conference on
Print_ISBN
0-7695-1506-1
Type
conf
DOI
10.1109/ITCC.2002.1000351
Filename
1000351
Link To Document