Conclusions and Future Work The results are approximately 60 % failures and 40 % success. Behind these figures lay the other’s image and the expectations, both from the speaker and from the machine. One of the principles that makes human communication possible is that speakers are able to adapt their speech acts to the expectations
Read moreAnalysing the interactions System evaluation The first step had been to measure the degree of real success of the dialog system. As the phone calls were intended only for scientific purposes and the speakers proposed fictitious destinations, it is not easy to define what “success” mean. As we will see later, some speakers change their
Read moreThe man-machine telephone corpus For this paper, we have only considered the small subset of human-machine telephone recordings, part of the telephone corpus. This subset has been collected by means of an automatic telephone call system specifically designed and developed for the C-ORAL- ROM project by ITC-Irst (Falavigna & Gretter 2003). The system handles interactions
Read moreIntroducción The goal of this paper is to analyse man-machine interactions in the Spanish data of C- ORAL-ROM, a multilingual, multimedia corpus of spontaneous speech. The subcorpus consists of 41 recordings, over 2600 words. The issue we want to address is why some of the interactions succeeded, while most of them resulted in misunderstandings and
Read more1. The C-ORAL-ROM corpus C-ORAL-ROM is a multilingual spontaneous speech corpus that comprises four romance languages: Italian, French, Portuguese and Spanish (Cresti & Moneglia 2005). In our work we have used the Spanish sub-corpus, which contains around 300.000 spoken words. From a sociolinguistic point of view, speakers are characterized by their age, gender, place of
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