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Anuvaad Pranaali: A RESTful API for Machine Translation

  • Nehal J. Wani
  • Sharada Prasanna Mohanty
  • Suresh Purini
  • Dipti Misra Sharma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10380)

Abstract

The current web APIs are end-user centric as they mostly focus on the end results. In this paper, we break this paradigm for one class of scientific workflow problems —machine translation, by designing an API that caters not only to the end users but also allows researchers to find bugs in their systems by exposing the ability to programmatically manipulate the results. Moreover, it follows an easy to replicate workflow based mechanism, which is built on the concept of microservices.

Keywords

REST API Microservices NLP Framework Docker Workflow 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nehal J. Wani
    • 1
  • Sharada Prasanna Mohanty
    • 1
  • Suresh Purini
    • 1
  • Dipti Misra Sharma
    • 1
  1. 1.International Institute of Information TechnologyHyderabadIndia

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