Title
Language Model-Based Retrieval for Farsi Documents
Meeting name
International Conference on Information Technology: Coding and Computing
Document Type
Conference Proceeding
Publication Date
4-5-2004
Abstract
We report on an application of language modeling techniques to the retrieval of Farsi documents. We discovered that language modeling improves the precision of retrieval when compared to a standard vector space model.
Keywords
Computational linguistics; Cross-language information retrieval; Document handling; Farsi documents; Information retrieval; Language model-based retrieval; Natural languages; Persian language; Probability; Standard vector space model
Disciplines
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Software Engineering
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Taghva, K.,
Coombs, J.,
Pereda, R.,
Nartker, T.
(2004, April).
Language Model-Based Retrieval for Farsi Documents.
Presentation at International Conference on Information Technology: Coding and Computing,
Available at: https://digitalscholarship.unlv.edu/ece_presentations/32