The MIT-LL/AFRL IWSLT-2010 MT System

Abstract

We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2008 system, and experiments we ran during the IWSLT-2010 evaluation. Specifically, we focus on 1) cross-domain translation using MAP adaptation, 2) Turkish morphological processing and translation, 3) improved Arabic morphology for MT preprocessing, and 4) system combination methods for machine translation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 09, 2010
Accession Number
ADA533432

Entities

People

  • A. R. Aminzadeh
  • Ray Slyh
  • Tim Anderson
  • Wade Shen

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Linguistics
  • Computational Science
  • Cross Domain
  • Data Sets
  • Decoding
  • Language
  • Language Translation
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Standards

Readers

  • Computer Vision.
  • Political Science/ International Relations/ European Studies
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation