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pro vyhledávání: '"Lakumarapu, Nikhil Kumar"'
Simultaneous neural machine translation(SNMT) models start emitting the target sequence before they have processed the source sequence. The recent adaptive policies for SNMT use monotonic attention to perform read/write decisions based on the partial
Externí odkaz:
http://arxiv.org/abs/2109.03121
Autor:
Han, Hyojung, Indurthi, Sathish, Zaidi, Mohd Abbas, Lakumarapu, Nikhil Kumar, Lee, Beomseok, Kim, Sangha, Kim, Chanwoo, Hwang, Inchul
Recently, simultaneous translation has gathered a lot of attention since it enables compelling applications such as subtitle translation for a live event or real-time video-call translation. Some of these translation applications allow editing of par
Externí odkaz:
http://arxiv.org/abs/2012.14681
Autor:
Indurthi, Sathish, Han, Houjeung, Lakumarapu, Nikhil Kumar, Lee, Beomseok, Chung, Insoo, Kim, Sangha, Kim, Chanwoo
End-to-end Speech Translation (ST) models have several advantages such as lower latency, smaller model size, and less error compounding over conventional pipelines that combine Automatic Speech Recognition (ASR) and text Machine Translation (MT) mode
Externí odkaz:
http://arxiv.org/abs/1911.04283