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Transcription and annotation of an apprenticeship corpus : application to the correction and self-correction strategies

This paper presents a corpus-based study devoted to corrections, self-corrections strategies to recover errors during dialogues. The corpus used results from exercises where air-traffic controllers being formed interacts with people simulating pilots in practice. Considering correction strategies as an answer to errors, we present a fine-grained typology of these strategies, the errors they aims to compensate, and their markers. We also give various statistics about their distribution in the corpus, and comment them, in regards with their application to spoken dialog systems.