System for Cross-Language Information Processing, Translation and Summarization (SCRIPTS)

Abstract

This report describes the technical approaches and results for System for Cross-language Information Processing, Translation andSummarization (SCRIPTS) funded under the IARPA MATERIAL program. SCRIPTS consists of components for AutomaticSpeech Recognition (ASR) and Machine Translation (MT) in order to preprocess the text and speech corpora provided as part ofthe program. It also includes a text processing component that performs morphological analysis. In user-facing mode, given aquery, SCRIPTS Cross-Language Information Retrieval (CLIR) returns relevant documents, while Summarization generatestextual summaries of each document to help an analyst confirm which documents returned by CLIR are actually relevant. Over thecourse of program, the team implemented models for nine different languages: Somali, Swahili, Tagalog, Bulgarian, Lithuanian,Pashto, Farsi, Kazakh, and Georgian.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 2021
Accession Number
AD1190088

Entities

People

  • Kathleen Mckeown

Organizations

  • Columbia University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Information Processing
  • Information Retrieval
  • Information Science
  • Information Systems
  • Machine Learning
  • Natural Language Processing
  • Network Science
  • Neural Networks
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Computational Linguistics

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation