An adaptive method for Chinese new word detection based on hypothesis testing
Author:
Funder
fundamental research funds for the central universities
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-022-01087-y.pdf
Reference17 articles.
1. Carroll JB (1969) A rationale for an asymptotic lognormal from of word-frequency distribution 1. ETS Res Bull Ser 1969(2):i–94
2. Huang C, Zhao H (2007) Chinese word segmentation: a decade review. J Chin Inf Process 21(3):8–20
3. Jia Z, Shi Z (2004) Probabilistic techniques and rule methods for new word discovery. Comput Eng 30(20):19–21
4. Jiang D, Chen X, Yang X (2018) A Chinese new word detection approach based on independence testing. In: International conference on artificial intelligence and symbolic computation. Springer, Berlin, pp 227–236
5. Li X, Chen X (2020) New word discovery algorithm based on n-gram for multi-word internal solidification degree and frequency. In: 2020 5th international conference on control, robotics and cybernetics (CRC), pp 51–55. https://doi.org/10.1109/CRC51253.2020.9253493
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