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Found 13 papers, 2 papers with code
NLP in the DH pipeline: Transfer-learning to a Chronolect
A big unknown in Digital Humanities (DH) projects that seek to analyze previously untouched corpora is the question of how to adapt existing Natural Language Processing (NLP) resources to the specific nature of the target corpus.
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
Adapting a pre-trained model to a new language involves specialized techniques that differ significantly from training a model from scratch or further training existing models on well-resourced languages such as English.
Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?
We evaluate all existing models for contextualized Hebrew embeddings on a novel Hebrew homograph challenge sets that we deliver.
MRL Parsing Without Tears: The Case of Hebrew
Syntactic parsing remains a critical tool for relation extraction and information extraction, especially in resource-scarce languages where LLMs are lacking.
Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew
As a commitment to promoting research and development in the Hebrew language, we release both the foundation model and the instruct-tuned model under a Creative Commons license.
DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
We present DictaBERT, a new state-of-the-art pre-trained BERT model for modern Hebrew, outperforming existing models on most benchmarks.
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All
We perform a contrastive analysis of this model against all previous Hebrew PLMs (mBERT, heBERT, AlephBERT) and assess the effects of larger vocabularies on task performance.
Ranked #1 on
Named Entity Recognition (NER)
on NEMO-Corpus
Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language
We present a new pre-trained language model (PLM) for Rabbinic Hebrew, termed Berel (BERT Embeddings for Rabbinic-Encoded Language).
A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration
One of the primary tasks of morphological parsers is the disambiguation of homographs.
Nakdan: Professional Hebrew Diacritizer
We present a system for automatic diacritization of Hebrew text.
Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties.
Shamela: A Large-Scale Historical Arabic Corpus
Arabic is a widely-spoken language with a rich and long history spanning more than fourteen centuries.
Identification of Parallel Passages Across a Large Hebrew/Aramaic Corpus
We propose a method for efficiently finding all parallel passages in a large corpus, even if the passages are not quite identical due to rephrasing and orthographic variation.
