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, Moshe Koppel, Dan Bareket.

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

Papers

Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis (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.
Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? (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.
Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language (2022)
A short paper releasing a BERT-base model trained on about 220 million words of Rabbinic Hebrew (the Sefaria and Dicta libraries).
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All (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.