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EMNLP
2009

Integrating sentence- and word-level error identification for disfluency correction

8 years 6 months ago
Integrating sentence- and word-level error identification for disfluency correction
While speaking spontaneously, speakers often make errors such as self-correction or false starts which interfere with the successful application of natural language processing techniques like summarization and machine translation to this data. There is active work on reconstructing this errorful data into a clean and fluent transcript by identifying and removing these simple errors. Previous research has approximated the potential benefit of conducting word-level reconstruction of simple errors only on those sentences known to have errors. In this work, we explore new approaches for automatically identifying speaker construction errors on the utterance level, and quantify the impact that this initial step has on word- and sentence-level reconstruction accuracy.
Erin Fitzgerald, Frederick Jelinek, Keith Hall
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where EMNLP
Authors Erin Fitzgerald, Frederick Jelinek, Keith Hall
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