The Linguistic-Core Approach to Structured Translation and Analysis of Low-Resource Languages

Abstract

The project goals were to conduct research on machine translation and textual analysis for low resource languages, focusing (but not exclusively) on African languages such as Kinyarwanda, Malagasy, and Swahili.

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Document Details

Document Type
Technical Report
Publication Date
Sep 02, 2017
Accession Number
AD1055401

Entities

People

  • Jaime Carbonell
  • Lori Levin
  • Noah Smith
  • Stephan Vogel

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Grammars
  • Hidden Markov Models
  • Information Science
  • Language
  • Linguistics
  • Machine Translation
  • Markov Models
  • Monte Carlo Method
  • Natural Language Processing
  • Natural Languages
  • Sampling

Readers

  • Archaeological Resource Survey
  • Computational Linguistics

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation