ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

An automatic intelligent language classifier

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : An automatic intelligent language classifier
นักวิจัย : Verma, Brijesh. , Lee, Hong. , Zakos, John.
คำค้น : Applied research. , 080108 Neural, Evolutionary and Fuzzy Computation. , 890202 Application Tools and System Utilities. , Neural networks (Computer science) , Pattern perception. , Language classifier -- Neural networks
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/44657
ที่มา : Verma, B, Lee, H & Zakos, J 2009, 'An automatic intelligent language classifier' in Köppen, Mario, Kasabov, Nikola, Coghill, George (eds.) Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, pp. 639-646.http://dx.doi.org/10.1007/978-3-642-03040-6_78 (viewed 11/5/10)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Advances in neuro-information processing : 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 2008, revised selected papers, Part II / Mario Koppen, Nikola Kasabov, George Coghill (eds.) Berlin Heidelberg. : Springer-Verlag, 2009. p. 639-646 8 pages Refereed 9783642030390 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

The paper presents a novel sentence-based language classifier that accepts a sentence as input and produces a confidence value for each target language. The proposed classifier incorporates Unicode based features and a neural network. The three features Unicode, exclusive Unicode and word matching score are extracted and fed to a neural network for obtaining a final confidence value. The word matching score is calculated by matching words in an input sentence against a common word list for each target language. In a common word list, the most frequently used words for each language are statistically collected and a database is created. The preliminary experiments were performed using test samples from web documents for languages such as English, German, Polish, French, Spanish, Chinese, Japanese and Korean. The classification accuracy of 98.88% has been achieved on a small database.

บรรณานุกรม :
Verma, Brijesh. , Lee, Hong. , Zakos, John. . (2552). An automatic intelligent language classifier.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Verma, Brijesh. , Lee, Hong. , Zakos, John. . 2552. "An automatic intelligent language classifier".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Verma, Brijesh. , Lee, Hong. , Zakos, John. . "An automatic intelligent language classifier."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
Verma, Brijesh. , Lee, Hong. , Zakos, John. . An automatic intelligent language classifier. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.