Machine Learning on language style

被引:0
|
作者
Wang, Yufeng [1 ]
Wang, Zhiliang [1 ]
Lu, Xiaojuan [1 ]
Chen, Liang [1 ]
Zhao, Jian [1 ]
Che, Lingling [1 ]
Zai, Ying [1 ]
Wang, Lijuan [1 ]
机构
[1] Univ Sci & Technol Beijing, Informat Sch, Dept Elect & Informat, Beijing 100083, Peoples R China
来源
CMESM 2006: Proceedings of the 1st International Conference on Enhancement and Promotion of Computational Methods in Engineering Science and Mechanics | 2006年
关键词
Machine Learning; Natural Language Processing; artificial psychology; affective computing;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To find out the method of Language Style Machine Learning, established a natural language communication model with Abstract Algebra. Analyze the relations on the model. Note the Universal Property of free semigroups for Word Monoids. Conclude by a practical example that the word class and the word order are two stable elements during language transferring. Because that the word class and the word order are two parts of phrase structure, the phrase structure is the feature of language style. We can apply Natural Language Processing method to get the feature of language style, automatically by phrase structure identification and phrase structure probabilities counting. Thus establish a foundation for further Machine Learning.
引用
收藏
页码:380 / 382
页数:3
相关论文
共 50 条
  • [21] Evaluating Machine Learning Models for Musical Style Categorization
    Rame, Nikhila
    Dharani, Yakkala
    Lasya, P.
    Satwik, Vunukonda
    Gunavardhan, Maddala
    Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, 2024, : 469 - 474
  • [22] Language learning using Machine Learning: a systematic review
    Cruzado, Javier Gamboa
    Huamani-Jeri, Jhon
    Najarro-Buitron, Abel
    Sanchez, Augusto Hidalgo
    Chaca, Marisol Daga
    Zegarra, Indalecio Horna
    APUNTES UNIVERSITARIOS, 2022, 12 (04) : 321 - 345
  • [23] Kazan Philistines Students' Language Learning Style and Language Learning Strategies: A Gender-Based Study
    Bessonova, Tatyana
    Misbakhova, Albina
    JOURNAL OF RESEARCH IN APPLIED LINGUISTICS, 2019, 10 : 1317 - 1327
  • [24] Learning style detection in E-learning systems using machine learning techniques
    Rasheed, Fareeha
    Wahid, Abdul
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 174
  • [25] Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models
    Agarwal, Vasvi
    Jablokow, Kathryn
    Mccomb, Christopher
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2025, 25 (02)
  • [26] Identifying Engineering Undergraduates' Learning Style Profiles Using Machine Learning Techniques
    Ramirez-Correa, Patricio
    Alfaro-Perez, Jorge
    Gallardo, Mauricio
    APPLIED SCIENCES-BASEL, 2021, 11 (22):
  • [27] Prediction of Electronics Engineering Student's Learning Style using Machine Learning
    Sahagun, Mary Anne M.
    2021 1ST CONFERENCE ON ONLINE TEACHING FOR MOBILE EDUCATION (OT4ME), 2021, : 42 - 49
  • [28] Crip-Techno-Tinkerism: A Neurodivergent Learning Style Meets Machine Learning
    Lincoln, Erika Jean
    LEONARDO, 2024, 57 (02) : 173 - 178
  • [29] Gender, Language Learning Style and Strategies: EFL and ESL Students
    廖燕莲
    海外英语, 2022, (04) : 235 - 237+240
  • [30] LEARNING STYLE DIFFERENCES - GIFTED VS REGULAR LANGUAGE STUDENTS
    TRAYER, M
    FOREIGN LANGUAGE ANNALS, 1991, 24 (05) : 419 - 425