Zeinab Vakil


2012

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Interactive-predictive speech-enabled computer-assisted translation
Shahram Khadivi | Zeinab Vakil
Proceedings of the 9th International Workshop on Spoken Language Translation: Papers

In this paper, we study the incorporation of statistical machine translation models to automatic speech recognition models in the framework of computer-assisted translation. The system is given a source language text to be translated and it shows the source text to the human translator to translate it orally. The system captures the user speech which is the dictation of the target language sentence. Then, the human translator uses an interactive-predictive process to correct the system generated errors. We show the efficiency of this method by higher human productivity gain compared to the baseline systems: pure ASR system and integrated ASR and MT systems.

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A New Search Approach for Interactive-Predictive Computer-Assisted Translation
Zeinab Vakil | Shahram Khadivi
Proceedings of COLING 2012: Posters