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Neural machine translation of chemical nomenclature between English and Chinese

Tingjun Xu, Weiming Chen, Junhong Zhou, Jingfang Dai, Yingyong Li, Yingli Zhao
2020 Journal of Cheminformatics  
The result shows that deep learning based approaches have a great chance to precede rule based translation tools in machine translation of chemical nomenclature between English and Chinese.  ...  We applied two types of neural networks in the task of chemical nomenclature translation between English and Chinese, and made a comparison with an existing rule based machine translation tool.  ...  Weiming Chen for his guidance.  ... 
doi:10.1186/s13321-020-00457-0 pmid:33431023 fatcat:77ywqn3dpnfiphwncpomy3gksq

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer

Ting-Hao Huang, Yun-Nung Chen, Lingpeng Kong
2015 Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing  
With the corpus, a morphological analyzer is developed to classify Chinese bi-character words into the defined categories, which outperforms strong baselines and achieves about 66% macro F-measure for  ...  While morphological information has been demonstrated to be useful for various Chinese NLP tasks, there is still a lack of complete theories, category schemes, and toolkits for Chinese morphology.  ...  Acknowledgments We thank anonymous reviewers for their useful comments. We are also grateful to Yanchuan Sim for his helpful feedback and all participants who helped to annotate the data.  ... 
doi:10.18653/v1/w15-3105 dblp:conf/acl-sighan/HuangCK15 fatcat:q4cocsjz3rfjjm52uozcheyqla

Feature-based Sentiment Analysis Approach for Product Reviews

Hanshi Wang, Lizhen Liu, Wei Song, Jingli Lu
2014 Journal of Software  
This paper proposes a feature-based vector model and a novel weighting algorithm for sentiment analysis of Chinese product reviews.  ...  Moreover, a novel feature extraction method based on dependency parsing is presented to identify the corresponding aspects that opinions words modify.  ...  Therefore, our proposed method is based on machine learning techniques.  ... 
doi:10.4304/jsw.9.2.274-279 fatcat:lvh2sawswfailiz25ni5m5stta

A Method for Building Naxi Language Dependency Treebank Based on Chinese-Naxi Language Relationship Alignment

Gao Sheng-Xiang, An Ming-Jia, Mao Cun-Li, Xian Yan-Tuan, Yu ZhengTao
2015 International Journal of Database Theory and Application  
Aiming to the problem, in the paper, it is proposed a method for building Naxi Language Dependency Treebank based on Chinese-Naxi Language relationship alignment.  ...  considered, the generated Chinese Dependency Tree is mapped to Naxi Sentence by using Chinese-Naxi Languages relationship alignment, as a result, Naxi Dependency Parsing Tree is generated.  ...  During experiment, a 10,000 Naxi sentence dependency tree library is extended. In this way, we obtained a dependency tree library based on statistical machine learning method.  ... 
doi:10.14257/ijdta.2015.8.2.03 fatcat:fstl32h2x5emvaiuyengifdpo4

Research on Transfer Learning-Based English-Chinese Machine Translation

Li Jiaxin, Wang Peiting, Hasan Ali Khattak
2022 Mobile Information Systems  
transfer learning, and machine models of English-Chinese translation are constructed based on the classification results.  ...  On the basis of analyzing the basic principles and specific strategies of English-Chinese machine translation, the traditional neural machine translation methods are analyzed, and then the translation  ...  Fast Classification of English and Chinese Text Features Based on Transfer Learning. Transfer learning is a machine learning method in which a pretrained model is reused for another task.  ... 
doi:10.1155/2022/8478760 fatcat:4ssiemjpm5clrb23rrlgbgblx4

Distributional Evidence and Beyond: the Success and Limitations of Machine Learning in Chinese Word Segmentation

Jianqiang Ma, Dale Gerdemann
2013 Research in Computing Science  
In this paper, we argue that the key to the success of the current state-of-art statistical learning algorithms for Chinese word segmentation (CWS) mostly lies in their optimal weighting of non-overlapping  ...  We further analyze the characteristics of distributional evidence for CWS, under the framework of Zipf's law and summarize the limitation of statistical learning in CWS as the feature absence problem,  ...  Conclusion In this paper, we have reviewed some state-of-art methods for Chinese word segmentation, with a focus on the role of distributional evidence and feature-based machine learning algorithms.  ... 
doi:10.13053/rcs-70-1-2 fatcat:cpbzmxsz7veg7hxcpnclezhkp4

A Chinese-Naxi Tree-to-Tree Machine Translation Method Based on Subtree Alignment

Shengxiang Gao, Zhengtao Yu, Chao Liu, Lin Chen, Xudong Hong
2015 Mathematical Problems in Engineering  
In allusion to the syntactic differences between Chinese and Naxi language, the thesis presents a tree-to-tree method of Chinese-Naxi machine translation based on subtree alignment.  ...  Finally we extract the template of Chinese-Naxi translation, adopting the extraction algorithm based on matrix, and implement the Chinese-Naxi machine translation.  ...  Therefore, on basis of Li's dependency-tree-to-string translation method, Gao et al. proposed a Chinese-Naxi machine translation method based on Naxi dependency language model, used dependency parsing  ... 
doi:10.1155/2015/414963 fatcat:jomaina5mzfwbo22sl4wslkwyi

Survey of Researches on Chinese Sentiment Analysis Based on Deep Learning

Yong-li YAN, Chun-li WANG, Wen-li SHI
2018 DEStech Transactions on Computer Science and Engineering  
This paper mainly summarizes and concludes on the existing Chinese sentiment analysis research status and progress, summarizes and analyzes relevant research methods based on the deep learning.  ...  Finally, the paper compares the performance of several general deep learning methods through a set of experiments.  ...  For the subjective classification task, there are two kinds of research methods: based on sentiment dictionary and rules and based on machine learning.  ... 
doi:10.12783/dtcse/aiie2017/18225 fatcat:lnfvnhiio5ce7giijbyw3avxk4

RNN Neural Network Model for Chinese-Korean Translation Learning

Yang Dong, Muhammad Arif
2022 Security and Communication Networks  
This allows for quicker neural network training, resulting in increased translation speed and efficiency.  ...  A decoder matching mode is included in the model, allowing it to learn both alignment and transformation at the same time.  ...  As a result, there is little foundation for Chinese character elucidation or for pupils to learn Chinese characters [3] . e 4th China Symposium on Religious Translation was held in Qingdao, Shandong Province  ... 
doi:10.1155/2022/6848847 fatcat:bdpnnblumbefll5fmuropqwyui

Pre-Ordering of "De Phrase" in Chinese-Vietnamese Machine Translation

Phuoc Tran, Le Nguyen, Dien Dinh
2018 Innovative Computing Information and Control Express Letters, Part B: Applications  
In addition, state-of-the-art phrase-based statistical machine translation cannot overcome word order errors when translating DE phrases from Chinese into Vietnamese.  ...  In this paper, we propose to use Chinese dependency relation to pre-order Chinese DE phrases in accordance with their Vietnamese word order.  ...  We sincerely thank the Computational Linguistics Center (CLC) has contributed to us the Chinese-Vietnamese bilingual corpus.  ... 
doi:10.24507/icicelb.09.10.983 fatcat:jyw3jbqdmfehnixs4agdi65xx4

Emotional Contribution Analysis of Online Reviews

Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka, Minoru Kumano, Masaharu Hirota, Takao Ito
2018 Proceedings of International Conference on Artificial Life and Robotics  
Using an entropy based mathematical model and a machine learning algorithm, we determined the words that most closely represent the demands and emotions of this customer base.  ...  Focusing on the Chinese tourism boom and the hotel industry in Japan, we extracted the most influential keywords in emotional judgement from Chinese online reviews of Japanese hotels in the portal site  ...  Support Vector Machines are supervised machine learning models usually applied to classification or regression problems [6] .  ... 
doi:10.5954/icarob.2018.os5-3 fatcat:urdejsxsd5dyzfjb7cmrfw243a

A Review on Multi-Lingual Sentiment Analysis by Machine Learning Methods

Santwana Sagnika, School of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India, Anshuman Pattanaik, Bhabani Shankar Prasad Mishra, Saroj K. Meher
2020 Journal of Engineering Science and Technology Review  
The paper covers methods that analyze translated data as well as methods that analyze available data in the target language.  ...  for some product, news, topic, or trend in the markets.  ...  Use of machine learning for multi-lingual sentiment analysis picked up popularity from 2010, due the ease of automation and training of the machine learning systems, and the reduced requirement of manual  ... 
doi:10.25103/jestr.132.19 fatcat:aqvglobonjbh3inz3oewnvtdsu

Page 551 of Computational Linguistics Vol. 34, Issue 4 [page]

2008 Computational Linguistics  
Machine learning-based dependency analyzer for Chinese. In Proceedings of International Conference on Chinese Computing (ICCC), pages 66-73, Singapore. Cormen, Thomas H., Charles E.  ...  In Proceedings of the Tenth Conference on Computational Natural Language Learning, pages 149-164, New York. “— Chih-Chung and Chih-Jen Lin, 2001. LIBSVM: A Library for Support Vector Machines.  ... 

Sentiment Analysis Tasks and Approaches

Enas A. H. Khalil, Enas M.F. El Houby, Hoda K. Mohamed
2021 Zenodo  
Techniques, performance, language, and the domain have been analyzed. Keywords Sentiment analysis; opinion mining; Natural Language Processing; Machine Learning; Deep Learning; word embedding.  ...  This analyzed information gives the public's feelings or attitudes about specific items, persons, or ideas and identifies the information's contextual polarity.  ...  The following search keywords were used: "sentiment analysis," "machine learning," and "Deep Learning." The published articles from 2016 to July 2020 were analyzed.  ... 
doi:10.5281/zenodo.5668727 fatcat:xzke3dn7hnabjhkxdepb6sevdi

Research on Sentiment Classification of Chinese Micro Blog Based on Machine Learning

Duolin Liu
2013 International Journal of Digital Content Technology and its Applications  
This thesis has conducted an empirical research on sentiment classification of micro blog in three machine learning algorithms, three feature selection algorithms and three feature item weighting algorithms  ...  Research on Sentiment Classification of Chinese Micro Blog Based on Machine Learning Duolin Liu Training set Test set SVM Bayes N-GRAM Micro blog training set Ordinary test set 75.77 78.50 75.23  ...  Many current research results [1] [2] show that the performance of the method based on machine learning is better than that of the method based on semantic.  ... 
doi:10.4156/jdcta.vol7.issue3.50 fatcat:z7vk46m5cfbvpl3uhp2vt4lge4
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