33 citations · 45 across the 5 of their papers we have counts for
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cs.CL2020
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion
Alex Sokolov, Tracy Rohlin, Ariya Rastrow
Grapheme-to-phoneme (G2P) models are a key component in Automatic Speech Recognition (ASR) systems, such as the ASR system in Alexa, as they are used to generate pronunciations for…
cs.CL2020★ 12 cited
Neural Machine Translation For Paraphrase Generation
Alex Sokolov, Denis Filimonov
Training a spoken language understanding system, as the one in Alexa, typically requires a large human-annotated corpus of data. Manual annotations are expensive and time consuming…