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- W2015409136 abstract "This paper describes a parser for processing spontaneous spoken utterances which deals with both dislocation and “noise” phenomena. The parser is built upon a timetable corpus collected in an information center of the SNCF (French railway company). With spontaneous speech we consider that the only relevant problems are those that have been found in a corpus. Our corpus has been recorded in a human/machine situation and in a human/human situation in order to observe how the linguistic behavior provoked by the machine, changes automatic processing. As this work deals with cognitive levels, ALORS processes a keyboard input. Using a skimming strategy, it takes into account some aspects of speech recognition, and we evaluate its compatibility with word spotting speech recognition." @default.
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- W2015409136 date "1987-09-01" @default.
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- W2015409136 title "ALORS: a skimming parser for spontaneous speech processing" @default.
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- W2015409136 doi "https://doi.org/10.1016/0885-2308(87)90006-4" @default.
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