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# Cheyn Shmuel Shmidman

4 paper cards in Mova's library · 2022–2026

Cheyn Shmuel Shmidman wrote 4 of the papers Mova reads, in 2022–2026; often with [Avi Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/avi-shmidman/), [Moshe Koppel](https://md.mova.elamur.ai/free/en/docs/papers/authors/moshe-koppel/), [Dan Bareket](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-bareket/).

[OpenAlex](https://openalex.org/A5015862561) · [**h-index 3**](https://openalex.org/authors/A5015862561) · [13 citations](https://openalex.org/authors/A5015862561) · [6 works](https://openalex.org/works?filter=author.id:A5015862561) — 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](https://scholar.google.com/citations?view_op=search_authors&mauthors=Cheyn+Shmuel+Shmidman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cheyn+Shmuel+Shmidman) · [dblp](https://dblp.org/search?q=Cheyn+Shmuel+Shmidman) · [ACL Anthology](https://aclanthology.org/search/?q=Cheyn+Shmuel+Shmidman) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Cheyn+Shmuel+Shmidman)

## Papers

1. **[Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-tal-modeling-dalet-clitic-historical-hebrew/)** *(2026)* The Aramaic proclitic dalet in historical Hebrew can mark a subordinate clause or a possessive preposition, and the two uses look the same on the page; no annotated data existed.
2. **[Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/)** *(2023)* Unpointed Hebrew is full of homographs whose analyses differ in segmentation (the prefix or suffix is or is not a word), in morphosyntax, or only in sense.
3. **[Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-shmidman-introducing-berel-bert-embeddings-rabbinic/)** *(2022)* A short paper releasing a BERT-base model trained on about 220 million words of Rabbinic Hebrew (the Sefaria and Dicta libraries).
4. **[Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-gueta-large-pre-trained-models-extra/)** *(2022)* The authors train AlephBERTGimmel, a Modern Hebrew BERT with a 128K word-piece vocabulary (earlier models had 2.4K–52K), on the same ~2 billion words as AlephBERT.

## Co-authors (10)

- [Avi Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/avi-shmidman/) ×4
- [Moshe Koppel](https://md.mova.elamur.ai/free/en/docs/papers/authors/moshe-koppel/) ×3
- [Dan Bareket](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-bareket/) ×2
- [Joshua Guedalia](https://md.mova.elamur.ai/free/en/docs/papers/authors/joshua-guedalia/) ×2
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/) ×2
- [Shaltiel Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaltiel-shmidman/) ×2
- [Amit Seker](https://md.mova.elamur.ai/free/en/docs/papers/authors/amit-seker/)
- Eli Handel
- [Eylon Gueta](https://md.mova.elamur.ai/free/en/docs/papers/authors/eylon-gueta/)
- [Rachel Tal](https://md.mova.elamur.ai/free/en/docs/papers/authors/rachel-tal/)
- [← previous Chaya Liebeskind](https://md.mova.elamur.ai/free/en/docs/papers/authors/chaya-liebeskind/)
- [next → Chi-kiu Lo](https://md.mova.elamur.ai/free/en/docs/papers/authors/chi-kiu-lo/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)