The Proper Place of Men and Machines inLanguage Translation
Machine Translation
Unit Completion for a Computer-aided Translation Typing System
Machine Translation
Stochastic modeling as a means of automatic speech recognition.
Stochastic modeling as a means of automatic speech recognition.
Translation analysis and translation automation
CASCON '93 Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: distributed computing - Volume 2
Finite-state transducers in language and speech processing
Computational Linguistics
A program for aligning sentences in bilingual corpora
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Finite-state transducer cascades to extract named entities in texts
Theoretical Computer Science - Implementation and application automata
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The design for the wall street journal-based CSR corpus
HLT '91 Proceedings of the workshop on Speech and Natural Language
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Joint-sequence models for grapheme-to-phoneme conversion
Speech Communication
PORTAGE: a phrase-based machine translation system
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Computer-assisted translation using speech recognition
IEEE Transactions on Audio, Speech, and Language Processing
Integration of Speech Recognition and Machine Translation in Computer-Assisted Translation
IEEE Transactions on Audio, Speech, and Language Processing
Enriching speech recognition with automatic detection of sentence boundaries and disfluencies
IEEE Transactions on Audio, Speech, and Language Processing
On multimodal interactive machine translation using speech recognition
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
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This paper presents a model for machine-aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text translation of source language document. It is evaluated on a scenario where a human translator dictates a first draft target language translation of a source language document. Information obtained from the source language document, including translation probabilities derived from statistical machine translation (SMT) and named entity tags derived from named entity recognition (NER), is incorporated with acoustic phonetic information obtained from an automatic speech recognition (ASR) system. One advantage of the system combination used here is that words that are not included in the ASR vocabulary can be correctly decoded by the combined system. The MAHT model and system implementation is presented. It is shown that a relative decrease in word error rate of 29% can be obtained by this combined system relative to the baseline ASR performance on a French to English document translation task in the Hansard domain. In addition, it is shown that transcriptions obtained by using the combined system show a relative increase in NIST score of 34% compared to transcriptions obtained from the baseline ASR system.