The Evolution of Language and Information Technology (ELIT) brings the state-of-the-art natural language processing (NLP) and machine learning technology to the research community. The primary focus of this project is to provide an end-to-end NLP pipeline scalable for big data analysis using rich resources in the cloud. Unlike most other NLP frameworks, ELIT supports web APIs, which makes it platform independent, so researchers can enjoy large scale computing anytime anywhere. ELIT is developed by the Emory Natural Language Processing research group with an active collaboration with the Amazon MXNet team.

Jinho Choi

Director: NLP

Assist. Professor
Emory University

Gary Lai

Cloud Computing

Ph.D. Student
Emory University

Bonggun Shin

Cloud Computing

Ph.D. Student
Emory University

Tyler Angert

Data Visualization

B.S. Student
Emory University


Language Processing


Machine Learning


Big Data Analysis


Cloud Computing

  • Version 0.2

    October 20, 2017

    • Tokenization
    • Segmentation
    • Sentiment analysis
    • Sentiment visualization
    • Web APIs for decoding
    • User authentication
  • Version 0.3

    January 19, 2018

    • Morphological Analysis
    • Part-of-speech tagging
    • Named entity recognition
    • Web APIs for training
    • POS/NER visualization
  • Version 0.4

    April 13, 2018

    • Dependency conversion
    • Dependency parsing
    • Semantic role labeling
    • Dependency visualization
  • Version 0.5

    July 13, 2018

    • Coreference resolution
    • Coreference visualization