Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language

  • Unique Paper ID: 142612
  • Volume: 2
  • Issue: 4
  • PageNo: 106-110
  • Abstract:
  • Joshua, an open source toolkit for statistical machine translation. It implements all of the algorithms required for synchronous context free grammars (SCFGs): chart-parsing, n-gram language model integration, beam-and cube-pruning and k-best extraction. The toolkit also implements suffix-array grammar extraction and minimum error rate training. It uses parallel and distributed computing techniques for scalability. In this paper, it is demonstrated that the toolkit achieves state of the art translation performance on the Tamil -English translation task.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 4
  • PageNo: 106-110

Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language

Related Articles

Impact Factor
8.01 (Year 2024)

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry