Hi everyone, we recently open source our NLP/speech project at ACL 2019 – DELTA, a DEep Learning based language Technology plAtform (https://github.com/didi/delta). It aims to provide an end-to-end solution for training, deploying, and developing natural language processing and speech models for both academia and industry use cases.

DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. It helps AI developers to quickly build models and easily deploy to production, featuring:

• Easy-to-use
  • One command to train NLP and speech models, including:
    • NLP: text classification, named entity recognition, question and answering, text summarization, etc
    • Speech: speech recognition, speaker verification, emotion recognition, etc
  • Use configuration files to easily tune parameters and network structures
• Easy-to-deploy
  • What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph
  • Uniform I/O interfaces and no changes for new models
• Easy-to-develop
  • Easily build state-of-the-art models using modularized components
  • All modules are reliable and fully-tested

For more details, check out: https://github.com/didi/delta. Thank you!