Indonesian syllabification using a pseudo nearest neighbour rule and phonotactic knowledge
作者: Suyanto SuyantoSri HartatiAgus HarjokoDirk Van Compernolle
作者单位: 1Department of Computer Science and Electronics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Bulaksumur, Yogyakarta 55281, Indonesia
2School of Computing, Telkom University, Jl. Telekomunikasi Terusan Buah Batu, Bandung, West Java 40257, Indonesia
3Departement Elektrotechniek-ESAT, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium
刊名: Speech Communication, 2016
来源数据库: Elsevier Journal
DOI: 10.1016/j.specom.2016.10.009
关键词: Indonesian syllabificationFour-feature phoneme encodingPhonotactic knowledgePseudo nearest neighbour rule
原始语种摘要: Abstract(#br)This paper discusses phonemic syllabification using a pseudo nearest neighbour rule (PNNR) and phonotactic knowledge for Indonesian language. The proposed data-driven model uses a four-feature phoneme encoding and a phonotactic-based pre-syllabification. Evaluating on 50 k words dataset using 5-fold cross-validation shows that the proposed encoding significantly reduces the average syllable error rate (SER) by 13.90% relatively to the commonly used orthogonal binary encoding and the pre-syllabification also reduces the average SER up to 17.17% relatively to the PNNR without pre-syllabification. Five-fold cross-validating proves that the proposed PNNR-based syllabification is stable by producing an average SER of 0.64%. Most errors come from derivatives with the prefixes...
全文获取路径: Elsevier  (合作)
影响因子:1.283 (2012)

  • nearest 最接近的
  • pseudo 
  • knowledge 知识
  • feature 结构元件
  • neighbour 邻元素
  • phoneme 音素
  • encoding 编码
  • validation 证实
  • proposed 建议的
  • phonemic 语音的