Abstract
There have been a few attempts to integrate a speech recognition device with a natural language understanding system. Hayes et. al [5] adopted the technique of caseframe instantiation to parse a continuously spoken English sentence in the form of a word lattice (a set of word candidates hypothesized by a speech recognition module) and produce a frame representation of the utterance. Poesio and Rullent [4] suggested a modified implementation of the caseframe parsing to parse a word lattice in Italian. Lee et. al [1] developed a prototype Chinese (Mandarin) dictation machine which takes a syllable lattice (a set of syllables, such as [guo-2] and [tieng-1], hypothesized by a speech recognition module) and produces a Chinese character sequence which is both syntactically and semantically sound.
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References
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© 1991 Springer Science+Business Media New York
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Saito, H., Tomita, M. (1991). GLR Parsing for Noisy Input. In: Tomita, M. (eds) Generalized LR Parsing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4034-2_10
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DOI: https://doi.org/10.1007/978-1-4615-4034-2_10
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