Proposing model of handling language for smart home system controlled by voice

Phat Nguyen  Huu; Khanh Tong Van

doi:10.15625/2525-2518/58/3/14744

Author affiliations

Authors

Phat Nguyen Huu School of Electronicsand Telecommunications, Hanoi University of Science and Technology No.1, Dai Co Viet road, Hai Ba Trung, Ha Noi, Viet Nam
Khanh Tong Van School of Electronicsand Telecommunications, Hanoi University of Science and Technology No.1, Dai Co Viet road, Hai Ba Trung, Ha Noi, Viet Nam

DOI:

https://doi.org/10.15625/2525-2518/58/3/14744

Keywords:

VNLP – Vietnamese Natural Language Processing, Smart-home, Signal Processing, Google Assistant

Abstract

Voice interaction control is a useful solution for smart homes. Now it helps bring the house closer to people. In recent years, many smart home-based voice control solutions have been introduced (for example: Google Assistant, Alexa Amazon etc.). However, most of these solutions do not really serve Vietnamese people. In this paper, we study and develop Vietnamese language processing model to apply to smart home system. Specifically, we propose language processing methods and create databases for smart homes. Our main contribution of the paper is the Vietnamese language processing database for smart-home system.

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References

Dien, Dinh Kiem, Hoang Toan, Nguyen. (2001). Vietnamese Word Segmentation.. 749-756.

. Phuong, Le-Hong & Nguyen, Huyen & Roussanaly, Azim & Ho, Tuong. (2013). A Hybrid Approach to Word Segmentation of Vietnamese Texts. 10.1007/978-3-540-88282-4_23.

. Python Vietnamese Toolkit by Tran Viet Trung, Online: https://libraries.io/github/trungtv

. R. Al-Shalabi, G. Kanaan, J. M. Jaam, A. Hasnah and E. Hilat, "Stop-word removal algorithm for Arabic language," Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004. Damascus, Syria, 2004, pp. 545-. doi: 10.1109/ICTTA.2004.1307875

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1307875&isnumber=29024

. Unit Test, Online: https://viblo.asia/p/unit-test-la-gi-maGK7m3Llj2

. Naive Bayes classifier, Online: https://en.wikipedia.org/wiki/Naive_Bayes_classifier

. Support Vector Machine, Online: https://machinelearningcoban.com/2017/04/09/smv/

. vietnamese-stopwords, Online: https://github.com/stopwords/vietnamese-stopwords/blob/master/vietnamese-stopwords.txt

. C. Angermueller, T. P¨arnamaa, L. Parts, and O. Stegle, “Deep learning for computational biology,” Molecular Syst. Biol., vol. 12, no. 7, 2016, Art. no. 878.

. Cong, Song Ngo, Hung Setthawong, Rachsuda. (2019). State-of-the-Art Vietnamese Word Segmentation.

. Ha, Phan Thị Thu and Nguyen Thai Quynh Chi, “Automatic Classification for Vietnamese News” (2015).

. V. C. D. Hoang, D. Dinh, N. le Nguyen and H. Q. Ngo, "A Comparative Study on Vietnamese Text Classification Methods," 2007 IEEE International Conference on Research, Innovation and Vision for the Future, Hanoi, 2007, pp. 267-273.

doi: 10.1109/RIVF.2007.369167

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4223084&isnumber=4223036

. Gerard Salton and Michael J. McGill. 1986. Introduction to Modern Information Retrieval. McGraw-Hill, Inc., USA.

. Salton, G.; Fox, E. A.; Wu, H. (1983). "Extended Boolean information retrieval". Communications of the ACM. 26 (11): 1022–1036. doi:10.1145/182.358466. hdl:1813/6351.

. Salton, G.; Buckley, C. (1988). "Term-weighting approaches in automatic text retrieval" (PDF). Information Processing & Management. 24 (5): 513–523. doi:10.1016/0306-4573(88)90021-0. hdl:1813/6721.

. Wu, H. C.; Luk, R.W.P.; Wong, K.F.; Kwok, K.L. (2008). "Interpreting TF-IDF term weights as making relevance decisions". ACM Transactions on Information Systems. 26 (3): 1. doi:10.1145/1361684.1361686. hdl:10397/10130.

. Harris, David and Harris, Sarah (2012-08-07). Digital design and computer architecture (2nd ed.). San Francisco, Calif.: Morgan Kaufmann. p. 129. ISBN 978-0-12-394424-5.

. Xilinx. "HDL Synthesis for FPGAs Design Guide". section 3.13: "Encoding State Machines". Appendix A: "Accelerate FPGA Macros with One-Hot Approach", 1995.

. Cohen, Ben (2002). Real Chip Design and Verification Using Verilog and VHDL. Palos Verdes Peninsula, CA, US: VhdlCohen Publishing. p. 48. ISBN 0-9705394-2-8.

. Python Vietnamese Toolkit, pyvi 0.0.9.7. Online: https://pypi.org/project/pyvi/