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Shuly Wintner

13 paper cards in Mova's library · 1998–2022

Shuly Wintner wrote 13 of the papers Mova reads, in 1998–2022, most of them on Machine translation; often with Shlomo Yona, Alon Lavie, Bracha Nir.

OpenAlex · ORCID · h-index 27 · 2410 citations · 187 works — openalex, 2026-10-18

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 2

Papers

  1. Predicting the Proficiency Level of Nonnative Hebrew Authors (2022)
    The authors use the Hebrew Essay Corpus (4000 essays: native speakers and learners with Arabic, French and Russian as L1) to predict three things with XGBoost on about 2300 hand-chosen features, not deep models: whether the author is a native speaker, the author's L1, and the essay's proficiency score.
  2. The Hebrew Essay Corpus (2022)
    The authors describe a corpus of argumentative essays in Hebrew from applicants to Israeli higher education.
  3. A Morphologically Annotated Hebrew CHILDES Corpus (2012)
    The paper describes the Hebrew part of the CHILDES child-language database: about 418,000 word tokens (about 13,800 types) of child-adult speech from two longitudinal corpora.
  4. A Morphologically-Analyzed CHILDES Corpus of Hebrew (2010)
    The authors bring the Hebrew child-language transcripts of CHILDES into a common form. Two longitudinal collections are used: the Berman corpus (four children, aged about 1;06 to 3;05) and the Ravid corpus (two siblings, from about 9 months to around 6 years). The corpus then had 110,819 utterances, 425,471 tokens…
  5. Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions (2010)
    Modern Hebrew and Standard Arabic share orthography, root-and-pattern morphology, clitics and much of their vocabulary, but they differ in case, dual number, broken plurals, the feminine ending in genitive constructions and the agreement of irrational plural nouns.
  6. Identifying Semitic Roots: Machine Learning with Linguistic Constraints (2008)
    Semitic words are built from a root (usually three consonants) and a pattern, and the root is hard to recover from unpointed text because of weak paradigms, missing vowels and attached prefixes.
  7. Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination (2007)
    The HAMSAH analyser gives about 2.64 analyses per token on a hand-checked corpus of about 89,000 tokens. The authors train one simple SNoW classifier per attribute (POS, gender, number, person, tense, definiteness, state, prefix length, has-properties) and combine their scores, then apply six hard constraints on…
  8. A Computational Lexicon of 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.
  9. A Finite-State Morphological Grammar of Hebrew (2005)
    The paper presents HAMSAH, a bidirectional morphological analyser and generator for Modern Hebrew, written as an XFST grammar over a lexicon of about 20,000 entries.
  10. Learning Hebrew Roots: Machine Learning with Linguistic Constraints (2004)
    The root of a Hebrew word (usually three consonants) is hard to find, because vowels are unwritten, particles attach without spaces, and weak roots change their shape.
  11. Rapid prototyping of a transfer-based Hebrew-to-English machine translation system (2004)
    A two-month build of a first broad-domain Hebrew-to-English system, about four person-months of work, on top of existing public resources.
  12. Resources for processing Israeli Hebrew (2003)
    Wintner and Yona, at Haifa, describe work in progress on a set of Hebrew resources: newspaper corpora (about 1.3 million tokens from 2,500 articles, and a larger Arutz 7 set of 55,310 articles and about 6.35 million tokens), a cleaning and sentence-splitting pipeline, a tokeniser that treats any non-alphabetic…
  13. Towards a linguistically motivated computational grammar for Hebrew (1998)
    Wintner writes a small HPSG grammar of the Modern Hebrew noun phrase, the first HPSG analysis of a Semitic language, implemented in the AMALIA framework.

Co-authors (17)

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