Abstract
A system and method are proposed that will leverage language models from multiple language machine translations (MT) for better speech recognition. Wherever ambiguity exists in interpreting speech, the system identifies each transcribed option of homophones for interpretation through translation. The system then translates each sentence corresponding to the options of homophones into multiple languages. The method comprises a scoring system that is used by the machine translation system for assessing translations whereby the translation which makes less sense is given a lower score. The system combines the scores assigned to each translated homophone in the various languages and selects the interpretation with the highest score as the correct one.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ratinov, Polar Bear and Kanevsky, Dimitri, "MultiLanguage Machine Translation Speech Corrector", Technical Disclosure Commons, (November 30, 2015)
https://www.tdcommons.org/dpubs_series/84