Do What I Mean: Issues in Cross-lingual Collaboration

Abstract

In most virtual worlds and virtual communities, language is at the heart of communication. When we extend these communities to the international stage, we are faced with challenges in interaction. We will not examine the infrastructure supports beneath multi- and cross-lingual communication. Instead, we look at the next level of enabling communication that of automated machine translation (MT) of the utterances. MT is a complex and, it will be argued here, an endogenous problem. Even though the MT process is endogenous, we are not prevented from creating useful interfaces and supports for cross language interaction in virtual worlds and simulations. This paper starts with a basic description of machine translation, the problems of MT development and why MT can be categorized as endogenous. Afterwards, we describe the classes of problems that MT must solve which are specific to virtual words. Then, we looks deeply into the communicative system and start to describe a framework to handle one particularly pesky problem of MT: the process of building language-independent representations to enable effective translation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2001
Accession Number
AD1125300

Entities

People

  • Florence Reeder

Organizations

  • MITRE Corporation

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Communities
  • Computational Science
  • Data Analysis
  • Engineering
  • Environment
  • Foreign Languages
  • Grammars
  • Information Systems
  • Language
  • Linguistics
  • Machine Translation
  • Models
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Ontologies
  • Reasoning
  • Simulations
  • Translations

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation