Coder Social home page Coder Social logo

nlph's Introduction

The Open Natural Language Processing in Hebrew Project

Vision

Our vision is to bring Natural Language Processing capabilities in Hebrew to a level on par with international industry standards, keeping up with state-of-the-art techniques by providing open source implementations to new algorithms and tools, and making these capabilities publicly available for both public and commercial use.

Goals

  1. Creating, maintaining, adapting and spreading resources that enable high-quality, production-ready, open-licensed Natural Language Processing in Hebrew.
  2. Enable, foster and catalyze cooperation between stakeholders in academia, private and the public sectors, in order to promote better Open Source Hebrew NLP solutions, and share existing knowledge and tools.

Who's taking part?

What's our current focus?

  • Forming a group of volunteers to start work on the core components, during developer meetings of the Public Knowledge Workshop and in other frameworks - including events like hackathons and as part of educational and research projects.

  • Adapting and integrating existing Hebrew NLP Python tools with existing popular frameworks:

  • Creating those tools when they are missing, focusing on:

    • Tokenization. Specifically stemming and lemmatization.
    • A word embeddings model for Hebrew
    • Part-of-speech tagger
  • Encouraging the open-licensing of high quality, open-licensed, tagged and labelled datasets from various domains (social media, articles, research papers, etc.) and for various tasks (part-of-speech tagging, text classification, sentiment analysis, named entity recognition, etc.), and helping in authoring these datasets where they are missing.

How can I help?

  • Join our Newsletter, for updates and for opportunities to contribure!
  • Need something more specific? Email us at [email protected].
  • Join the discussion in our Facebook group.
  • If you are associated with an organization that already has good, working solutions for some of the problems we are interested in, and you'd like to consider sharing those solutions (or a subset thereof) in a suitable open license, we'd love to hear from you!

References

nlph's People

Contributors

shaypal5 avatar yotammanor avatar roeeaharoni avatar eranroz avatar guyla avatar danielhers avatar habeanf avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.