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Combining classifiers for Chinese word segmentation [PDF]
Proceeding of the first SIGHAN workshop on Chinese language processing -, 2002 In this paper we report results of a supervised machine-learning approach to Chinese word segmentation. First, a maximum entropy tagger is trained on manually annotated data to automatically labels the characters with tags that indicate the position of character within a word.
Nianwen Xue, Susan P. Converse
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PLoS ONE, 2023 Text pre-processing is an important component of a Chinese text classification. At present, however, most of the studies on this topic focus on exploring the influence of preprocessing methods on a few text classification algorithms using English text ...
Dezheng Zhang +3 more
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The Extended Simple View of Reading in Adult Learners of Chinese as a Second Language
Frontiers in Psychology, 2022 The Simple View of Reading (SVR) designates that reading comprehension is the product of decoding and listening comprehension and this conclusion has been supported by studies on school-aged native and nonnative speakers.
Meiling Hao +5 more
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Chinese word segmentation as LMR tagging [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 In this paper we present Chinese word segmentation algorithms based on the so-called LMR tagging. Our LMR taggers are implemented with the Maximum Entropy Markov Model and we then use Transformation-Based Learning to combine the results of the two LMR taggers that scan the input in opposite directions. Our system achieves F-scores of 95.9% and 91.6% on
Nianwen Xue, Libin Shen
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Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation
ISPRS International Journal of Geo-Information, 2020 Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding.
Pengpeng Li +6 more
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SAGE Open, 2021 The purpose of this article aims to analyze the effect of word-word space in written Chinese to advanced non-native speakers when they read and process Mandarin texts.
Ken Chen +3 more
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Thai word segmentation for visualization of Thai Web sites [PDF]
, 2011 Information overload is a problem in the Information Age and Information visualization is an approach to provide an overview of the content of a web site. Tag cloud is one of the ways to represent information as an image of a group of words.
Wigrai Thanadechteemapat +3 more
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Domain-Specific Chinese Word Segmentation Based on Bi-Directional Long-Short Term Memory Model
IEEE Access, 2019 Most of the current word segmentation methods are rule-based and traditional machine learning methods. Universal word segmentation tools do not work well in the field such as metallurgy. Domain-specific Chinese word segmentation is rarely studied.
Dangguo Shao +6 more
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Chinese Word Segmentation for Agriculture
Journal of Software, 2013 Based on the Hash mechanism, a new algorithm is presented, the algorithm can realize search、update、deletion and addition operations for dictionary. According to the characteristics of Chinese characters GB code, by preserving the GB code of first word in entry, this method effectively improves the utilization rate of the storage space.
Kui Fang +3 more
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Chinese word segmentation at Peking University [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 Word segmentation is the first step in Chinese information processing, and the performance of the segmenter, therefore, has a direct and great influence on the processing steps that follow. Different segmenters will give different results when handling issues like word boundary.
Huiming Duan +3 more
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