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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), 2020
This 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
openaire   +1 more source

Identifying coordinated compound words for Vietnamese word segmentation

2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), 2013
This 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
openaire   +1 more source

Tibetan Word Segmentation Based on Word-Position Tagging

2013 International Conference on Asian Language Processing, 2013
The 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
openaire   +1 more source

Unsupervised word Segmentation Based on Word Influence

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Ruohao Yan   +3 more
openaire   +2 more sources

A hybrid approach to word segmentation

1998
This 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
openaire   +1 more source

Survey on Chinese Word Segmentation

2023 4th International Conference on Machine Learning and Computer Application, 2023
Ying Liu 0060   +3 more
openaire   +1 more source

REGULARIZING WORD SEGMENTATION

2022
RAMABHADRAN BHUVANA   +3 more
openaire   +2 more sources

Smart Contract Generation Assisted by AI-Based Word Segmentation

Applied Sciences (Switzerland), 2022
Bingqing Shen   +2 more
exaly  

Chinese word segmentation and its effect on information retrieval

Information Processing and Management, 2004
Schubert Foo
exaly  

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