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Burmese Sentiment Analysis Based on Transfer Learning
Cunli Mao,Zhibo Man,Zhengtao Yu,Xia Wu,Haoyuan Liang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.4
Using a rich resource language to classify sentiments in a language with few resources is a popular subject ofresearch in natural language processing. Burmese is a low-resource language. In light of the scarcity of labeledtraining data for sentiment classification in Burmese, in this study, we propose a method of transfer learningfor sentiment analysis of a language that uses the feature transfer technique on sentiments in English. Thismethod generates a cross-language word-embedding representation of Burmese vocabulary to map Burmesetext to the semantic space of English text. A model to classify sentiments in English is then pre-trained using aconvolutional neural network and an attention mechanism, where the network shares the model for sentimentanalysis of English. The parameters of the network layer are used to learn the cross-language features of thesentiments, which are then transferred to the model to classify sentiments in Burmese. Finally, the model wastuned using the labeled Burmese data. The results of the experiments show that the proposed method cansignificantly improve the classification of sentiments in Burmese compared to a model trained using only aBurmese corpus.
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CUN MAO DU 한국서예학회 2018 서예학연구 Vol.33 No.-
Sha Menghai, as one of the representative figures of calligraphy in the last century, his Bangshu represent his artistic achievements to a great extent. His Bangshu win with great momentum, and his style of writing is heavy and strong. This paper starts with his study experience and thoughts on the books of the Bangshu. This paper analyzes the reasons for Sha Menghai's artistic achievements and artistic characteristics and discusses the inheritance and innovation of his Bang Shu calligraphy. 沙孟海先生作为上世纪书法代表人物之一,其榜书很大程度代表了他的艺术成就,他的榜书以磅礴气势取胜,笔墨沉雄,开一代风气,本文就其学书经历和榜书书学思想方面入手,分析了沙先生的榜书艺术成就原因和艺术特色。
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Cheng, Huan,Lu, Meng,Mao, Li-Jun,Wang, Jun-Qi,Li, Wang,Wen, Ru-Min,Chen, Jia-Cun Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10
Objectives: The purpose of this study was to determine the relationship between methylation status of the Dact1 gene and MTHFR a1298c polymorphic forms in transitional cell carcinoma tissues in a Chinese population. Methods: Polymorphisms of folate metabolism enzyme gene MTHFR were assessed by restrictive fragment length polymorphism (RFLP) methods and PCR-based DNA methylation analysis was used to determine the CpG island methylation status of the Dact1 gene. Associations between the methylation status of the Dact1 gene and clinical characteristics, as well as MTHFR a1298c polymorphisms, were analyzed. Results: aberrant methylation of the Dact1 gene was found in 68.3% of cancer tissues and 12.4% of normal tissues,. The methylation rate of the Dact1 gene in cancer tissues was significantly higher in patients with lymph node metastasis than in those without lymph node metastasis (46.3% vs. 17.2%, P = 0.018). No association was found between aberrant DNA methylation and selected factors including sex, age, tobacco smoking, alcohol consumption and green tea consumption. After adjusting for potential confounding variables, variant allele of MTHFR a1298c was found to be associated with methylation of the Dact1 gene. Compared with wild type CC, the odds ratio was 4.33 (95% CI: 1.06-10.59) for AC and 4.95 (95% CI: 1.18-12.74) for AA. The N stage in TNM staging and the occurrence of lymph node metastasis were associated with an MTHFR 1298 AA+AC genotype (P<0.05). Conclusion: MTHFR 1298 AC and AA genotypes might help maintain a normal methylation status of the Dact1 gene, aberrant CpG island methylation of which is closely related to the genesis and progression of transitional cell carcinoma.
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Gao Sheng-Xiang,An Ming-Jia,Mao Cun-Li,Xian Yan-Tuan,Yu Zheng-Tao 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2
Relative to Chinese, as to Naxi Language, its corpus is very rare, its annotation is also difficult, and these factors make its Syntactic Analysis much too difficult. 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. Firstly, the corresponding words of Chinese-Naxi sentence pairs are aligned; then, the dependency grammar on Chinese sentences; Finally, some characteristics and rules of Naxi Language in itself being 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. Experimental results show that: This approach can simplify the process of manual collection and annotation of Naxi Treebank, and save manpower and time to build the dependency treebank of Naxi Language.
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