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Hebrew Nlp Toolkit

Verified94/100
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Guide developers in using Hebrew NLP models and tools including DictaLM, DictaBERT, AlephBERT, and ivrit.ai. Use when user asks about Hebrew text processing, Hebrew NLP, "ivrit", Hebrew tokenization, Hebrew NER, Hebrew sentiment analysis, Hebrew speech-to-text, or needs to process Hebrew language text programmatically. Covers model selection, preprocessing, and Hebrew-specific NLP challenges. Do NOT use for Arabic NLP (different tools) or general English NLP tasks.

Trust score 94/100 (Verified) · 1,365+ installs · 2 GitHub contributors · MIT license

The Problem

Natural language processing for Hebrew remains a significant technical challenge. Hebrew is a morphologically rich language with unvocalized script, making tasks like entity extraction, sentiment analysis, and part-of-speech tagging far more complex than in English. Available models are scattered and not always well documented.

skills-ilskills-ilLocalization
1.2.0MITGitHub
1,365installs3,040views
5.0Write a Review
Updated: June 13, 2026|Tags:nlphebrewdictalmdictabertivrit-aimachine-learning
npx skills-il add skills-il/localization@v1.2.0-hebrew-nlp-toolkit --skill hebrew-nlp-toolkit -a claude-code
Install on Claude.ai, Claude Desktop, ChatGPT, Manus, or other platforms
  1. 1. Click "Download ZIP" to download the skill files.
  2. 2. Open Claude Desktop and go to Customize > Skills.
  3. 3. Click "+" and select "Upload a skill", then upload the ZIP file.
  4. 4. Start a new conversation. The skill will activate automatically when relevant.
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When to Apply

  • When tokenizing and morphologically processing Hebrew text
  • When performing Named Entity Recognition (NER) on Hebrew to extract names, places, organizations
  • When using Hebrew BERT models like DictaBERT or AlephBERT for embeddings
  • When restoring nikud (diacritization) to unvocalized Hebrew text with Dicta Nakdan
  • When handling Hebrew morphology challenges (binyanim, inflections, smichut)

Try These Prompts

Sentiment analysis

How do I use DictaBERT for sentiment analysis of Hebrew texts? Provide a complete Python code example.

Named entity recognition

How do I perform named entity recognition (NER) in Hebrew using DictaBERT NER? I want to identify people, places, and organizations in text.

Nikud restoration

How do I restore nikud (diacritization) to unvocalized Hebrew text? Show me both the Dicta Nakdan model and the hosted API option.

Speech to text

What are the best ivrit.ai tools for Hebrew speech-to-text conversion? How do I integrate them into a Python project?

Frequently Asked Questions

Changelog

v1.2.0

Added nikud restoration, hosted Dicta APIs and alternative frameworks; corrected the DictaLM 3.0 base-model lineage and tech-report link.

May 14, 2026

v1.1.0

Corrected DictaLM 3.0 sizes (24B, 12B Nemotron, 1.7B), verified HuggingFace model IDs, fixed VRAM requirements, added Reference Links section, and included NeoDictaBERT bilingual embeddings.

Apr 14, 2026

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