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IWSLT 2020 Speech Translation.pdf

202007_iwslt_ryo-fu.paper.pdf
Preview of IWSLT 2020 Speech Translation
🔗 Source: ahcweb01.naist.jp
📊 Size: 156 KB
📄 Pages: 6 pages
⬇️ Downloads: 73

Summary

NAIST's NMT system for IWSLT 2020 conversational speech translation task focuses on translating disfluent speech transcripts with ASR errors and non-grammatical utterances. The system uses a domain adaptation method by transferring styles of out-of-domain data to match in-domain data, resulting in improved performance over a baseline. The proposed method involves style transfer of out-of-domain data using unsupervised machine translation, increasing similarity between out-of-domain and in-domain data. The system consists of two components: a style transfer model from fluent to disfluent Spanish and a translation model from disfluent Spanish to fluent English. Experimental results show that the NMT model with domain adaptation outperforms a baseline, with slight improvement observed through style transfer.

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Description

NAIST's NMT system for IWSLT 2020 conversational speech translation task focuses on translating disfluent speech transcripts with ASR errors and...

Technical Information

  • File Format: PDF
  • File Size: 156 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 73
  • Last Updated: 4 weeks ago

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