Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary?

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Isabelle Tellier, Yoann Dupont, Iris Eshkol, Ilaine Wang

Published: 2013, Last Modified: 16 Mar 2026IDEAL 2013EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this paper, we try three distinct approaches to chunk transcribed oral data with labeling tools learnt from a corpus of written texts. The purpose is to reach the best possible results with the least possible manual correction or re-learning effort.