MOUNTAIN: A Translation-based Approach to Natural Language Generation for Dialog Systems
نویسندگان
چکیده
This paper describes the Mountain language generation system, which is designed as a domain-independent, machine translationbased approach to generate utterances for use within a spoken dialog system. We describe the method used to train the generation engine from a corpus of in-domain human responses, and show typical output of the Mountain system. The results of our initial evaluation suggest this approach can be a viable method of language generation. We also discuss potential applications where this approach is likely to be most useful, as well as planned improvements to the system and future research using
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Evaluating a dialog language generation system: comparing the mountain system to other NLG approaches
This paper describes the MOUNTAIN language generation system, a fully-automatic, data-driven approach to natural language generation aimed at spoken dialog applications. MOUNTAIN uses statistical machine translation techniques and natural corpora to generate human-like language from a structured internal language, such as a representation of the dialog state. We briefly describe the training pr...
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