善于 发表于 2025-3-23 11:41:43
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Balancing Robustness and Efficiency in Unification-Augmented Context-Free Parsers for Large Practicctiveness and efficiency of any robust parser are a direct function of three main factors: (1) Flexibility: what types of disfluencies and deviations from the grammar can the parser handle?; (2) Search: How does the parser search the space of possible interpretations, and what techniques are applied专横 发表于 2025-3-23 20:00:48
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Weighted Grammar Tools: The GRM Library,d grammar automata. The dynamic modifications allowed include: grammar switching, dynamic modification of rules, dynamic activation or non-activation of rules, and the use of dynamic lists. Access to these features is essential in spoken-dialogue applications.Nebulous 发表于 2025-3-24 02:22:23
Book 2001bust recognition, adaptive systems,language modeling, parsing, and natural language understanding. Thisbook attempts to give a clear overview of the main technologies usedin language and speech processing, along with an extensivebibliography to enable topics of interest to be pursued further. ItalsoTRACE 发表于 2025-3-24 07:40:19
1386-291X d noise robust recognition, adaptive systems,language modeling, parsing, and natural language understanding. Thisbook attempts to give a clear overview of the main technologies usedin language and speech processing, along with an extensivebibliography to enable topics of interest to be pursued furth营养 发表于 2025-3-24 13:59:08
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Regular Approximation of Context-Free Grammars through Transformation,algorithm to the case of weighted context-free grammars. We also report experiments with several grammars showing that the size of the minimal deterministic automata accepting the resulting approximations is of practical use for applications such as speech recognition.袋鼠 发表于 2025-3-25 00:23:45
Robust Parsing and Beyond,voice system)..This article first introduces the notion of robust parsing in natural language processing. It then reviews a series of linguistic phenomena that illustrate the need for specific approaches to robust parsing. Finally, it mentions some of pioneer and recent work in robust parsing.