Interactive Error Resolution Strategies for Speech-to-Speech Translation Systems
نویسندگان
چکیده
1 In this demonstration, we will showcase BBN’s Speech-to-Speech (S2S) translation system that employs novel interaction strategies to resolve errors through user-friendly dialog with the speaker. The system performs a series of analysis on input utterances to detect out-ofvocabulary (OOV) named-entities and terms, sense ambiguities, homophones, idioms and ill-formed inputs. This analysis is used to identify potential errors and select an appropriate resolution strategy. Our evaluation shows a 34% (absolute) improvement in cross-lingual transfer of erroneous concepts in our English to Iraqi-Arabic S2S system.
منابع مشابه
Active error detection and resolution for speech-to-speech translation
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 recoverin...
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تاریخ انتشار 2013