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- W2169596527 abstract "The natural language generation component of most dialogue systems is based on templates. Template-based generators are hard to maintain and reuse, and the sentences they produce lack the variability and robustness needed by conversational systems. In this paper, a flexible and domain-independent natural language generator for spoken dialogue systems is proposed which combines fixed surface expressions with freely generated text. The generation algorithm follows a hybrid approach, combining finite state machine (FSM) grammars and corpus-based language models. In this approach, the FSM grammar (a reversible parser grammar) is constrained by a word and concept -gram that takes terminals and non-terminal co-occurrences into account. The -gram grammar helps prevent inappropriate derivations, therefore improving the quality of the generated texts. The proposed algorithm achieves faster than real-time performance because of the limited number of derivations." @default.
- W2169596527 created "2016-06-24" @default.
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- W2169596527 date "2001-09-03" @default.
- W2169596527 modified "2023-10-04" @default.
- W2169596527 title "Hybrid natural language generation for spoken dialogue systems" @default.
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- W2169596527 doi "https://doi.org/10.21437/eurospeech.2001-406" @default.
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