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Titlebook: Generalized LR Parsing; Masaru Tomita Book 1991 Springer Science+Business Media New York 1991 Parsing.algorithms.complexity.grammar.hidden

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發(fā)表于 2025-3-25 05:54:53 | 只看該作者
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發(fā)表于 2025-3-25 23:57:59 | 只看該作者
Constitutional Futures Revisitedare such that generalisations which enable this strategy to be employed in new areas should be warmly welcomed by many researchers. An area of particular interest to us is the recognition of continuous speech and it was with this application in mind that the probabilistic LR parser was developed. Ho
26#
發(fā)表于 2025-3-26 01:23:39 | 只看該作者
Charles M. Lamb,Jacob R. Neiheiseloreign language learners. This software must be able to recover from and correct a wide range of morphological, syntactic, and semantic errors, and yet still run in real time. We have developed our system over the course of four years and have used it to write grammars for Spanish, English, French,
27#
發(fā)表于 2025-3-26 05:51:34 | 只看該作者
Improving Constitutional Literacy,e of . to parse a continuously spoken English sentence in the form of a . (a set of word candidates hypothesized by a speech recognition module) and produce a frame representation of the utterance. Poesio and Rullent [.] suggested a modified implementation of the caseframe parsing to parse a word la
28#
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