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# Alon Itai

4 paper cards in Mova's library · 1995–2014

Alon Itai wrote 4 of the papers Mova reads, in 1995–2014; often with Erel Segal, Moshe Levinger, Nitsan Chrizman.

[OpenAlex](https://openalex.org/A5019800362) · [**h-index 39**](https://openalex.org/authors/A5019800362) · [8181 citations](https://openalex.org/authors/A5019800362) · [118 works](https://openalex.org/works?filter=author.id:A5019800362) — openalex, 2026-10-19

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Alon+Itai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alon+Itai) · [dblp](https://dblp.org/search?q=Alon+Itai) · [ACL Anthology](https://aclanthology.org/search/?q=Alon+Itai) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Alon+Itai)

## Papers

1. **[How to construct a multi-lingual domain ontology](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-chrizman-how-construct-multi-lingual-domain/)** *(2014)* The authors build a domain ontology, a DAG of concepts and containment relations, for organized crime. They first build it in English from Wikipedia (DBpedia, English edition of June 2012), and then for Hebrew. Several concept sources were tried. Contrasting corpora with TF-IDF and PMI reached 64.57% true positives…
2. **[A Computational Lexicon of Contemporary Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2006-itai-computational-lexicon-contemporary-hebrew/)** *(2006)* The authors present the Haifa Lexicon of Contemporary Hebrew, a public XML lexicon of about 21,400 entries (over 10,000 nouns, about 4,500 verbs and about 4,200 proper names), which they describe as the broadest publicly available Modern Hebrew lexicon.
3. **[A corpus based morphological analyzer for unvocalized modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2003-itai-corpus-based-morphological-analyzer-unvocalized/)** *(2003)* Most words in unvocalised Modern Hebrew are morphologically ambiguous, and the authors choose one analysis per token.
4. **[Learning Morpho-Lexical Probabilities from an Untagged Corpus with an Application to Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cl-1995-levinger-learning-morpho-lexical-probabilities-untagged/)** *(1995)* Unpointed Hebrew writing leaves most vowels out, so many word tokens have several morphological analyses; in a sample of press text about 55% of tokens were ambiguous.

## Co-authors (6)

- Erel Segal
- Moshe Levinger
- Nitsan Chrizman
- [Shlomo Yona](https://md.mova.elamur.ai/free/en/docs/papers/authors/shlomo-yona/)
- [Shuly Wintner](https://md.mova.elamur.ai/free/en/docs/papers/authors/shuly-wintner/)
- [Uzzi Ornan](https://md.mova.elamur.ai/free/en/docs/papers/authors/uzzi-ornan/)
- [← previous Ally Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/ally-zhang/)
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