Integrating sentence- and word-level error identification for disfluency correction
Erin Fitzgerald, Frederick Jelinek, Keith Hall · 2009
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.