Improved techniques for processing queries in full-text systems
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
The effectiveness of a nonsyntatic approach to automatic phrase indexing for document retrieval
Journal of the American Society for Information Science
Full text indexing based on lexical relations an application: software libraries
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Learning morpho-lexical probabilities from an untagged corpus with an application to Hebrew
Computational Linguistics
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
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In this work we describe a new approach for morphological disambiguation to enable linguistic indexing for Hebrew search systems. We describe a Hebrew Morphological Disambiguator (HMD or Hemed for short) based on statistical data gathered from large Hebrew corpora. We show how to integrate HMD with a search engine to enable linguistic search for Hebrew. We report some experimental results demonstrating the the superiority of linguistic search over string-matching search, and the contribution of morphological disambiguation to the quality of search result.