Automatic Thesaurus Construction for Modern Hebrew

Chaya Liebeskind, Ido Dagan, Jonathan Schler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Automatic thesaurus construction for Modern Hebrew is a complicated task, due to its high degree of inflectional ambiguity.
Linguistics tools, including morphological analyzers, part-of-speech taggers and parsers often have limited in performance on
Morphologically Rich Languages (MRLs) such as Hebrew. In this paper, we adopted a schematic methodology for generating a cooccurrence based thesaurus in a MRL and extended the methodology to create distributional similarity thesaurus. We explored three
alternative levels of morphological term representations, surface form, lemma, and multiple lemmas, all complemented by the
clustering of morphological variants. First, we evaluated both the co-occurrence based method and the distributional similarity method
using Hebrew WordNet as our gold standard. However, due to Hebrew WordNet's low coverage, we completed our analysis with a
manual evaluation. The results showed that for Modern Hebrew corpus-based thesaurus construction, the most directly applied
statistical collection, using linguistics tools at the lemma level, is not optimal.
Original languageAmerican English
Title of host publicationProceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018
EditorsNicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Kôiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Number of pages6
StatePublished - 2018


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