This paper introduces a disfluency correction model that translates disfluent to fluent text by drawing inspiration from recent encoder-decoder unsupervised ...
Spoken language is different from the written language in its style and structure. Disfluen- cies that appear in transcriptions from speech.
This paper introduces a disfluency correction model that translates disfluent to fluent text by drawing inspiration from recent encoder-decoder unsupervised ...
Apr 19, 2021 · Our unsupervised approach achieves a BLEU score of 79.39 on the Switchboard corpus test set, with further improvement to a BLEU score of 85.28 ...
A disfluency correction model that translates disfluent to fluent text by drawing inspiration from recent encoder-decoder unsupervised style-transfer models ...
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Disfluency Correction using Unsupervised and Semi-supervised Learning · no code implementations • EACL 2021. Spoken language is different from the written ...
Disfluency Correction using Unsupervised and Semi-supervised Learning. Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas I. Dhamecha, Preethi Jyothi, ...
This work proposes a novel semi-supervised approach which can utilize large amounts of unlabelled data to extract the hidden features based solely on ...
We correct disfluencies from spoken text using unsupervised, semi-supervised learning and show our methods come close to supervised methods, in terms of BLEU ...
May 3, 2022 · For disfluency correction, we use T5-base (Raffel et al., 2020), which is a sequence-to-sequence model for text generation, with 12 encoder and ...