Tibetan interrogative sentence recognition and classification based on phrase features
نویسندگان
چکیده
The recognition of Tibetan interrogative sentences is a basic work in natural language processing, which has wide application value terms syntactic analysis, semantic intelligent question answering, search engine and other research fields. Employing pronouns as entry point to analyze the phrase features before after pronouns, paper proposes method for sentence classification based on by designing model features. Experimental results show that accuracy, recall rate F this are 98.21%, 100.00% 99.10% respectively, average 96.98%, 98.39%, respectively.
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ژورنال
عنوان ژورنال: MATEC web of conferences
سال: 2021
ISSN: ['2261-236X', '2274-7214']
DOI: https://doi.org/10.1051/matecconf/202133606017