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Incorporating Word Attention into Character-Based Word Segmentation
Proceedings of the 2019 Conference of the North, 2019Neural network models have been actively applied to word segmentation, especially Chinese, because of the ability to minimize the effort in feature engineering. Typical segmentation models are categorized as character-based, for conducting exact inference, or word-based, for utilizing word-level information. We propose a character-based model utilizing
Shohei Higashiyama +6 more
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Probabilistic Segmentation of Word Forms into Affixes and Word Roots
2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2020This paper introduces a method for segmenting a given word into word parts, including affixes, word stem, and word roots. In our approach, word parts including affixes and word roots in a given training dataset are counted and relevant probability values estimated.
Tsen Hsieh, Jason S. Chang
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Identifying coordinated compound words for Vietnamese word segmentation
2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), 2013This paper proposes a dictionary-based method for determining coordinated compound words in Vietnamese. The main idea to determine whether two contiguous simple words in a text forms a coordinated compound word is based on their properties, part-of-speeches and the similarity between their definitions in the dictionary of the Vietnamese Computational ...
Tran Ngoc Anh +2 more
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Tibetan Word Segmentation Based on Word-Position Tagging
2013 International Conference on Asian Language Processing, 2013The best advantage of Tibetan word segmentation based on word-position is to reduce segmentation errors for unknown words. In this article authors upgrade usual 4-tag set to 6-tag set to fit in with the features of Tibetan characters, using CRF as tagging model to train and test corpus data, then building post processing modules to revise the result ...
Caijun Kang, Di Jiang, Congjun Long
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Unsupervised word Segmentation Based on Word Influence
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Ruohao Yan +3 more
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A hybrid approach to word segmentation
1998This article presents a combination of unsupervised and supervised learning techniques for generation of word segmentation rules from a list of words. First, a bias for word segmentation is introduced and a simple genetic algorithm is used for the search of segmentation that corresponds to the best bias value.
Dimitar Kazakov, Suresh Manandhar
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Survey on Chinese Word Segmentation
2023 4th International Conference on Machine Learning and Computer Application, 2023Ying Liu 0060 +3 more
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Chinese word segmentation and its effect on information retrieval
Information Processing and Management, 2004Schubert Foo
exaly