Arabic part-of-speech tagger based support vectors machines

被引：0
|
作者：
Yousif, Jabar Hassan [1 ]
Sembok, Tengku Mohd Tengku [2 ]
机构：
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ukm Bangi 43600, Selangor, Malaysia
[2] Natl Def Univ Malaysia, Kuala Lumpur 57000, Malaysia
来源：
INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE | 2008年
关键词：
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：
Support Vector Machines (SVMs) and related kernal methods have become widely known tools for text mining tasks such as classification and regression. The Arabic part of speech (POS) based support vectors machine is designed and implemented. the NeuroSolutions software is used to adopt and learn the proposed tagger. The Radial basis functions (RBFs) is used as a linear function approximator. The experiments has give an evinced that the SVMS tagger is accurate of (99.99%), has low processing time, and use a little a mount of data at training phase.
引用
收藏
页码：2084 / +
页数：3
相关论文
共 50 条
  • [21] Part-of-speech Tagger for Assamese Using Ensembling Approach
    Pathak, Dhrubajyoti
    Nandi, Sukumar
    Sarmah, Priyankoo
    [J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2023, 22 (10)
  • [22] A token centric part-of-speech tagger for biomedical text
    Barrett, Neil
    Weber-Jahnke, Jens
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 61 (01) : 11 - 20
  • [23] A HMM part-of-speech tagger for Korean with wordphrasal relations
    Shin, JH
    Han, YS
    Choi, KS
    [J]. RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, 1997, 136 : 439 - 449
  • [24] Developing a robust part-of-speech tagger for biomedical text
    Tsuruoka, Y
    Tateishi, Y
    Kim, JD
    Ohta, T
    McNaught, J
    Ananiadou, S
    Tsujii, J
    [J]. ADVANCES IN INFORMATICS, PROCEEDINGS, 2005, 3746 : 382 - 392
  • [25] Part-of-Speech Tagger for Malay Social Media Texts
    Ariffin, Siti Noor Allia Noor
    Tiun, Sabrina
    [J]. GEMA ONLINE JOURNAL OF LANGUAGE STUDIES, 2018, 18 (04): : 124 - 142
  • [26] Adding Morphological Information to a Connectionist Part-Of-Speech Tagger
    Zamora-Martinez, Francisco
    Jose Castro-Bleda, Maria
    Espana-Boquera, Salvador
    Tortajada-Velert, Salvador
    [J]. CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE, 2010, 5988 : 191 - +
  • [27] A morphology-system and part-of-speech tagger for German
    Lezius, W
    Rapp, R
    Wettler, M
    [J]. NATURAL LANGUAGE PROCESSING AND SPEECH TECHNOLOGY: RESULTS OF THE 3RD KONVENS CONFERENCE, 1996, : 369 - 378
  • [28] Toward An Efficient Arabic Part of Speech Tagger
    Abdelali, Ahmed
    Elhadj, Yahya O. Mohamed
    Bouziane, Rachid
    [J]. 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013,
  • [29] Morphology Analysis for Hidden Markov Model based Indonesian Part-of-Speech Tagger
    Muljono
    Afini, Umriya
    Supriyanto, Catur
    [J]. 2017 1ST INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS), 2017, : 237 - 240
  • [30] A Hybrid of Rule-based and HMM-based Part-of-Speech Tagger for Indonesian
    Ananda, Muhammad Ridho
    Hanifmuti, Muhammad Yudistira
    Alfina, Ika
    [J]. 2021 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP), 2021, : 280 - 285
12345