The Military Language Tutor (MILT)

Abstract

MILT is a military foreign language tutor and an authoring system. MILT joins the strengths of previous computer based approaches to language training with emerging technologies from the fields of computational linguistics, computer science, and electrical engineering to form an innovative, interactive tutor in a Pentium based laptop computer. The first version of MILT with keyboard input was designed for Spanish and Arabic and can recognize tens of thousands of common words and hundreds of military terms in each of these languages. Its major software engine is a natural language processor (NLP). The goal of the MILT design team was an authoring system which would require no formal external training and which could be learned within four hours by anyone familiar with the Windows environment, even someone with no programming experience, using only documentation and internal MILT help functions. In MILT-DSR(discrete speech recognition), students are given an exercise which allows them to use language production to manipulate a graphics microworld. At Fort Campbell using 5th Special Forces Group personnel a field evaluation was conducted in early June, 1997. For each evaluation, two types of data were collected: (1) student attitudes toward the tutor and (2) instructional effects of the tutor.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1998
Accession Number
ADA356902

Entities

People

  • Jonathan D. Kaplan
  • Mark A. Sabol
  • Robert A. Wisher

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Emerging Technology
  • Grammars
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Languages
  • Social Sciences
  • Special Forces
  • Students

Readers

  • Computational Linguistics
  • STEM Education
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation