George Mason NLP
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An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages
For many low-resource languages, spoken language resources are more likely to be annotated with translations than with transcriptions. Translated speech data is potentially valuable for documenting endangered languages or for training speech …
An Attentional Model for Speech Translation Without Transcription
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