@inproceedings{prasad-etal-2012-active,
title = "Active error detection and resolution for speech-to-speech translation",
author = "Prasad, Rohit and
Kumar, Rohit and
Ananthakrishnan, Sankaranarayanan and
Chen, Wei and
Hewavitharana, Sanjika and
Roy, Matthew and
Choi, Frederick and
Challenner, Aaron and
Kan, Enoch and
Neelakantan, Arvid and
Natarajan, Prem",
booktitle = "Proceedings of the 9th International Workshop on Spoken Language Translation: Papers",
month = dec # " 6-7",
year = "2012",
address = "Hong Kong, Table of contents",
url = "https://aclanthology.org/2012.iwslt-papers.1",
pages = "150--157",
abstract = "We describe a novel two-way speech-to-speech (S2S) translation system that actively detects a wide variety of common error types and resolves them through user-friendly dialog with the user(s). We present algorithms for detecting out-of-vocabulary (OOV) named entities and terms, sense ambiguities, homophones, idioms, ill-formed input, etc. and discuss novel, interactive strategies for recovering from such errors. We also describe our approach for prioritizing different error types and an extensible architecture for implementing these decisions. We demonstrate the efficacy of our system by presenting analysis on live interactions in the English-to-Iraqi Arabic direction that are designed to invoke different error types for spoken language translation. Our analysis shows that the system can successfully resolve 47{\%} of the errors, resulting in a dramatic improvement in the transfer of problematic concepts.",
}
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%0 Conference Proceedings
%T Active error detection and resolution for speech-to-speech translation
%A Prasad, Rohit
%A Kumar, Rohit
%A Ananthakrishnan, Sankaranarayanan
%A Chen, Wei
%A Hewavitharana, Sanjika
%A Roy, Matthew
%A Choi, Frederick
%A Challenner, Aaron
%A Kan, Enoch
%A Neelakantan, Arvid
%A Natarajan, Prem
%S Proceedings of the 9th International Workshop on Spoken Language Translation: Papers
%D 2012
%8 dec 6 7
%C Hong Kong, Table of contents
%F prasad-etal-2012-active
%X We describe a novel two-way speech-to-speech (S2S) translation system that actively detects a wide variety of common error types and resolves them through user-friendly dialog with the user(s). We present algorithms for detecting out-of-vocabulary (OOV) named entities and terms, sense ambiguities, homophones, idioms, ill-formed input, etc. and discuss novel, interactive strategies for recovering from such errors. We also describe our approach for prioritizing different error types and an extensible architecture for implementing these decisions. We demonstrate the efficacy of our system by presenting analysis on live interactions in the English-to-Iraqi Arabic direction that are designed to invoke different error types for spoken language translation. Our analysis shows that the system can successfully resolve 47% of the errors, resulting in a dramatic improvement in the transfer of problematic concepts.
%U https://aclanthology.org/2012.iwslt-papers.1
%P 150-157
Markdown (Informal)
[Active error detection and resolution for speech-to-speech translation](https://aclanthology.org/2012.iwslt-papers.1) (Prasad et al., IWSLT 2012)
ACL
- Rohit Prasad, Rohit Kumar, Sankaranarayanan Ananthakrishnan, Wei Chen, Sanjika Hewavitharana, Matthew Roy, Frederick Choi, Aaron Challenner, Enoch Kan, Arvid Neelakantan, and Prem Natarajan. 2012. Active error detection and resolution for speech-to-speech translation. In Proceedings of the 9th International Workshop on Spoken Language Translation: Papers, pages 150–157, Hong Kong, Table of contents.