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Balakrishnan et al., 2016 - Google Patents

Improving document relevancy using integrated language modeling techniques

Balakrishnan et al., 2016

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Document ID
16383961527361355490
Author
Balakrishnan V
Humaidi N
Lloyd-Yemoh E
Publication year
Publication venue
Malaysian Journal of Computer Science

External Links

Snippet

This paper presents an integrated language model to improve document relevancy for text- queries. To be precise, an integrated stemming-lemmatization (SL) model was developed and its retrieval performance was compared at three document levels, that is, at top 5, 10 …
Continue reading at ejournal.um.edu.my (PDF) (other versions)

Classifications

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    • G06F17/30669—Translation of the query language, e.g. Chinese to English
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