A Rule-based Approach to Generating Large Phonetic Databases for Romanian Results of the AFLR Project

被引：0
|
作者：
Diaconescu, Stefan-Stelian [1 ]
Rizea, Monica-Mihaela [1 ]
Ionescu, Mihaela [1 ]
Minca, Andrei [1 ]
Radulescu, Monica [1 ]
机构：
[1] SOFTWIN, Res & Dev Dept, Bucharest, Romania
来源：
2017 INTERNATIONAL CONFERENCE ON SPEECH TECHNOLOGY AND HUMAN-COMPUTER DIALOGUE (SPED) | 2017年
关键词：
phonetics; linguistics; natural language processing; GRAALAN; Romanian language;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a rule-based approach for generating a large phonetic database for Romanian. The knowledge base is developed by means of the GRAALAN (Grammar Abstract Language) system. By inspecting dictionaries and corpora, we generate a phonetic database over 100,000 lemmas. Our database has a high degree of accuracy ensured by our rule-based method applied for generating phonetic transcriptions.
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页数：6
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