Journal of Food, Agriculture and Environment
Vol 10,
Issue 1,2012
Online ISSN: 1459-0263
Print ISSN: 1459-0255
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A text segmentation method of Text to Speech Technology based on agricultural ontology theory and semantic search
Author(s):
Xinxing Li,
Lingxian Zhang, Zetian Fu *, Xue Liu, Haojie WenRecieved Date: 2011-09-12, Accepted Date: 2012-01-10
Abstract:This paper designed a text segmentation method of Text to Speech Technology (TTS) based on agricultural ontology theory and semantic search, which is focused on the provision of agricultural knowledge for farmers in China through call centre. This method incorporated the module of semantic search based on agricultural ontology to process ambiguous phrase, this incorporation is made without any alteration of semantic search module, and not to search anything through ambiguous phrase (key word). Ontology design methodology and semantic inference model based on ontology do not need to be altered neither, but only extending some ontology examples according to concrete agricultural knowledge. This method could reduce the cost of call centre, and also provide an effective channel of agricultural knowledge providing for Chinese farmers.
Keywords:Text segmentation,
TTS, ontology, semantic search, ChinaJournal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 1
Category: Agriculture
Pages: 492-494
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