Research & Development World

  • Home Page
  • Topics
    • Aerospace
    • Archeology
    • Automotive
    • Biotech
    • Chemistry
    • COVID-19
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Market Pulse
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
      • Software
    • Semiconductors
  • 2021 R&D 100 Award Winners
    • R&D 100 Awards
    • 2020 Winners
    • Winner Archive
  • Resources
    • Digital Issues
    • Podcasts
    • Subscribe
  • Global Funding Forecast
  • Webinars

New Technology for Machine Translation Now Available

By Netherlands Organisation for Scientific Research | January 22, 2019

A new methodology to improve machine translation has become available this month through the University of Amsterdam. The project DatAptor, funded by NWO/STW, increasingly advances translation machines by selecting data sets.

The methodology is used in the application Matching Data, offered by TAUS, an important think tank in the field of machine translation. This application tackles a big challenge within digital translation: for a good translation it is necessary to train the translation machine with reliable sources and datasets that contain the relevant type of words. For example, translating a legal text requires a completely different vocabulary and a different type of translation than for example, a newspaper report.

Successful implementation

In 2013 the DatAptor project, supervised by Professor Khalil Sima’an of the UvA Institute for Logic, Language and Computation, received funding from Technology foundation STW (now: NWO Domain Applied and Engineering Sciences) to deal with this problem. The research results of the DatAptor project have now been successfully implemented by think tank TAUS. They offer the new technology under the name Matching Data.

On the weblog of TAUS Sima’an says: “Our dream was to make the world wide web itself the source of all data selections. But we decided to start more modest and make the very large TAUS Data repository our hunting field first. In DatAptor we learned that every domain is a mixture of many subdomains. The combinatorics of subdomains in a very large repository harbors a wealth of new, untapped selections. Therefore, if the user provides a Query corpus representing their domain of interest, the Matching Data method is likely to find a suitable selection in the repository.”

Related Articles Read More >

Unlocking the value of your scientific data
Sofar Ocean debuts Maritime Open Standard, Bristlemouth, at OCEANS 2021
The natural resources industry can no longer afford to be a digital laggard
Cambridge Quantum develops algorithm to accelerate Monte Carlo Integration on quantum computers 
2021 R&D Global Funding Forecast

Need R&D World news in a minute?

We Deliver!
R&D World Enewsletters get you caught up on all the mission critical news you need in research and development. Sign up today.
Enews Signup

R&D World Digital Issues

February 2020 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R& magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • 2022 Global Funding Forecast

Copyright © 2022 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • Home Page
  • Topics
    • Aerospace
    • Archeology
    • Automotive
    • Biotech
    • Chemistry
    • COVID-19
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Market Pulse
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
      • Software
    • Semiconductors
  • 2021 R&D 100 Award Winners
    • R&D 100 Awards
    • 2020 Winners
    • Winner Archive
  • Resources
    • Digital Issues
    • Podcasts
    • Subscribe
  • Global Funding Forecast
  • Webinars