5 citations · 13 across the 3 of their papers we have counts for
3 papers
Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?
Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket +2
Semitic morphologically-rich languages (MRLs) are characterized by extreme word ambiguity. Because most vowels are omitted in standard texts, many of the words are homographs with…
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All
Eylon Gueta, Avi Shmidman, Shaltiel Shmidman +6
We present a new pre-trained language model (PLM) for modern Hebrew, termed AlephBERTGimmel, which employs a much larger vocabulary (128K items) than standard Hebrew PLMs before. W…
Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language
Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman +3
We present a new pre-trained language model (PLM) for Rabbinic Hebrew, termed Berel (BERT Embeddings for Rabbinic-Encoded Language). Whilst other PLMs exist for processing Hebrew t…