Quickly Adapted Speech and Translation Enabled Information Retrieval (QuickSTIR)

Abstract

This report provides research results in the areas of Automatic Speech Recognition (ASR), MT (MT), Cross-Lingual Information Retrieval (CLIR), Domain Classification, and Summarization in the context of low-resource training settings for the IARPA MATERIAL Program.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1148468

Entities

People

  • Ben Van Durme
  • Jonathan Wintrode
  • Kevin Duh
  • Philipp Koehn
  • Sanjeev Khudanpur

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Government Procurement
  • Governments
  • Html
  • Information Retrieval
  • Information Science
  • Language
  • Machine Translation
  • Markov Models
  • Motor Skills
  • Natural Language Processing
  • Neural Networks
  • Signal Processing

Readers

  • Computational Linguistics
  • Speech Processing/Speech Recognition.

Technology Areas

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