Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Chaya Liebeskind

Chaya Liebeskind

9 paper cards in Mova's library · 2016–2026

Chaya Liebeskind wrote 9 of the papers Mova reads, in 2016–2026, most of them on Part-of-speech tagging, Discourse analysis; often with Natalia Vanetik, Marina Litvak, Yaakov HaCohen-Kerner.

OpenAlex · ORCID · h-index 10 · 338 citations · 113 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: Part-of-speech tagging 2 · Discourse analysis 1

Papers

  1. Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection (2026)
    Hebrew offensive-language detectors trained on one forum corpus lose much of their accuracy on two external corpora, a Facebook set and a Twitter set.
  2. Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification (2025)
    The paper builds HeDetox, 600 Hebrew sentence pairs in which an explicitly offensive forum comment is paired with a non-offensive rewrite.
  3. From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew (2024)
    The paper applies a Hebrew translation of the explicit-offence taxonomy of Lewandowska-Tomaszczyk et al. (2023) to Hebrew social-media text. Candidate offensive terms were found by co-occurrence (Dice coefficient) from 67 seed terms, and 683 were chosen by hand. Tweets were then extracted with those terms, and 450…
  4. Offensive language detection in Hebrew: can other languages help? (2022)
    The authors build a binary offensive-language classifier for Hebrew, using a new set of 5217 annotated Facebook comments (two labels per comment, Kappa 0.82), and compare it with Arabic (9000 tweets) and English (OLID, 13 240 tweets).
  5. Multiword expressions as discourse markers in Hebrew and Lithuanian (2021)
    The authors take English–Lithuanian–Hebrew TED talk transcripts (87,230 aligned sentences) and extract English multiword expressions that can act as discourse markers.
  6. Automatic Construction of Aramaic-Hebrew Translation Lexicon (2020)
    The authors build an Aramaic-Hebrew translation lexicon from the parallel Targum Onkelos and Targum Jonathan (Aramaic translations of the Pentateuch and the Prophets, set beside the Hebrew).
  7. Automatic Thesaurus Construction for Modern Hebrew (2018)
    The authors build corpus-based thesauri for Modern Hebrew, a morphologically rich language where taggers and parsers are weak.
  8. Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification (2016)
    The paper decides, for candidate Hebrew bigrams and trigrams that pair a verb with a noun, whether they are multi-word expressions (VN-MWE) or not.
  9. A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions (2016)
    The paper presents a hand-built resource of 505 Hebrew verb-noun multi-word expressions (247 two-word and 258 three-word), collected from five web sources: a Hebrew dictionary, Wiktionary idiom categories (modern, Talmudic and Biblical), and another free dictionary.

Co-authors (12)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/chaya-liebeskind/