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公开(公告)号：US20230021824A1
公开(公告)日：2023-01-26
申请号：US17859146
申请日：2022-07-07
Applicant: Google LLC
Inventor： Dirk Ryan Padfield , Colin Andrew Cherry
Abstract: The technology provides an approach to train translation models that are robust to transcription errors and punctuation errors. The approach includes introducing errors from actual automatic speech recognition and automatic punctuation systems into the source side of the machine translation training data. A method for training a machine translation model includes performing automatic speech recognition on input source audio to generate a system transcript. The method aligns a human transcript of the source audio to the system transcript, including projecting system segmentation onto the human transcript. Then the method performs segment robustness training of a machine translation model according to the aligned human and system transcripts, and performs system robustness training of the machine translation model, e.g., by injecting token errors into training data.
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公开(公告)号：US11562152B2
公开(公告)日：2023-01-24
申请号：US17030093
申请日：2020-09-23
Applicant: Google LLC
Inventor： Naveen Arivazhagan , Colin Andrew Cherry , Wolfgang Macherey , Te I , George Foster , Pallavi N Baljekar
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for re-translation for simultaneous, spoken-language machine translation. In some implementations, a stream of audio data comprising speech in a first language is received. A transcription for the speech in the stream of audio data is generated using an automated speech recognizer through a series of updates. A translation of the transcription into a second language is generated using a machine translation module. The translation is generated with translation iterations that translate increasing amounts of the transcription, including re-translating previously portions of the transcription. A series of translation updates are provided to a client device based on the translation iterations.
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公开(公告)号：US20220092274A1
公开(公告)日：2022-03-24
申请号：US17030093
申请日：2020-09-23
Applicant: Google LLC
Inventor： Naveen Arivazhagan , Colin Andrew Cherry , Wolfgang Macherey , Te I , George Foster , Pallavi N. Baljekar
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for re-translation for simultaneous, spoken-language machine translation. In some implementations, a stream of audio data comprising speech in a first language is received. A transcription for the speech in the stream of audio data is generated using an automated speech recognizer through a series of updates. A translation of the transcription into a second language is generated using a machine translation module. The translation is generated with translation iterations that translate increasing amounts of the transcription, including re-translating previously portions of the transcription. A series of translation updates are provided to a client device based on the translation iterations.
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