GraceYang's Homepage

SUMMARY

I received my Master's and Ph.D. degrees in Engineering from Waseda University in 2012 and 2017, respectively. During my Master's Course and Ph.D. program, the main field of my research is combining several automatic techniques to construct or extract Chinese-Japanese lexicon, term banks, and quasi-parallel corpus from freely available resources and make them available to improve the performance of Natural Language Processing (NLP) tasks, mainly for Machine Translation.

For now, I am a Project Assistant Professor at the Faculty of Science and Technology, Keio University in Japan. My research interests are especially around Natural Language Processing. Such as Sentiment analysis (see also Multimodal sentiment analysis), Text and speech processing (e.g., automatically generating the textual representation of the speech, also known as Automatic Speech Recognition or ASR). I am also interested in Image-to-text generation (e.g., describe an image or answer the question about the image), etc. Recently, I have started new tasks for higher-level NLP applications: Visual-and-Language Navigation and Referring Expression Comprehension (REC), focusing on natural language processing and computer vision.

EDUCATION / EXPERIENCE

4★Town 4EVER

SUMMARY

CURRENT

EDUCATION / EXPERIENCE

PUBLICATIONS

Wei Yang and Yves Lepage, "Improving automatic Chinese–Japanese patent translation using bilingual term extraction," IEEJ Transactions on Electrical and Electronic Engineering, Vol. 13, No. 1, pp. 117–125, 2018.

Wei Yang, Hanfei Shen and Yves Lepage, "Inflating a Small Parallel Corpus into a Large Quasi-parallel Corpus Using Monolingual Data for Chinese–Japanese Machine Translation", Journal of Information Processing, Vol. 25, pp. 88–99, January 2017.

Wei Yang, Hao Wang and Yves Lepage, "Deduction of Translation Relations between New Short Sentences in Chinese and Japanese Using Analogical Associations", International Journal of Advanced Intelligence (IJAI), Vol. 6, No. 1, pp. 13–34, December 2014.

Wei Yang, Satoru Fukayama, Panikos Heracleous and Jun Ogata. 2022. Exploiting Fine-tuning of Self-supervised Learning Models for Improving Bi-modal Sentiment Analysis and Emotion Recognition. In Proceedings of INTERSPEECH-2022. Incheon, Korea. (to appear)

Wei Yang and Jun Ogata. 2021. Stronger Baseline for Robust Results in Multimodal Sentiment Analysis. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 523–532, Shanghai, China. Association for Computational Linguistics.

Wei Yang and Jun Ogata. 2019. AIST Neural Machine Translation Systems for WAT 2019. In Proceedings of the 6th Workshop on Asian Translation (WAT2019), pages 159–164, Hong Kong, China. Association for Computational Linguistics.

Wei Yang and Yves Lepage. 2016. Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese–Japanese. In Proceedings of the 3rd Workshop on Asian Translation (WAT2016), pages 194–202, Osaka, Japan. The COLING 2016 Organizing Committee.

Wei Yang, Zhongwen Zhao, Baosong Yang, and Yves Lepage. 2015. Sampling–based Alignment and Hierarchical Sub-sentential Alignment in Chinese–Japanese Translation of Patents. In Proceedings of the 2nd Workshop on Asian Translation (WAT2015), pages 87–94, Kyoto, Japan.

Wei Yang and Yves Lepage. 2014. Consistent Improvement in Translation Quality of Chinese-Japanese Technical Texts by Adding Additional Quasi-parallel Training Data. In Proceedings of the 1st Workshop on Asian Translation (WAT2014), pages 69–76, Tokyo, Japan.

Wei Yang and Yves Lepage. 2014. Inflating a training corpus for SMT by using unrelated unaligned monolingual data. Lecture Notes in Computer Science (including sub-series Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8686, pages 236–248.

Hao Wang, Wei Yang and Yves Lepage. 2014. Improved Chinese-Japanese phrase-based MT quality using an extended quasi-parallel corpus. In Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing (PIC 2014), pages 6–10, Shanghai, China.

Wei Yang, Hao Wang and Yves Lepage. 2013. Automatic Acquisition of Rewriting Models for the Generation of Chinese-Japanese Quasi-parallel Corpus. In Proceedings of the 6th Language and Technology Conference (LTC’13), pages 409–413.

Wei Yang, Hao Wang and Yves Lepage. 2013. Using Analogical Associations to Acquire Chinese-Japanese Quasi-parallel Sentences. In Proceedings of the 10th International Symposium on Natural Language Processing (SNLP), pages 86–93.

Wei Yang and Jun Ogata, “An Investigation of Sentiment Recognition with Error Prone Multimodal Language Sequences”, 言語処理学会第２７回年次大会, pp.206–210, Kitakyushu, Japan, March 2021.

Wei Yang and Yves Lepage, “A study of translation equivalences at various levels of granularity for Chinese–Japanese technical translation”, 第17回日中自然言語処理共同研究促進会議 (CJNLP2017), Kokura, Kitakyushu, Japan, September 2017.

Wei Yang and Yves Lepage, “Bilingual Multi-Word Term Tokenization for Chinese–Japanese Patent Translation using Bilingual Term Extraction”, 言語処理学会第23回年次大会, pp. 855–858, Tsukuba, Japan, March 13-17. 2017.

Wei Yang and Mengru Gao and Yves Lepage, “Production of Analogical Clusters between Marker-based Chunks in Chinese and Japanese”, 10th International collaboration Symposium on Information, Production and Systems (ISIPS 2016), pp. 238–241, Kitakyushu, Fukuoka, Japan, November 2016.

Wei Yang and Yves Lepage, “Improving Automatic Chinese–Japanese Patent Translation using Bilingual Term Extraction”, 第16回日中自然言語処理共同研究促進会議 (CJNLP2016), Shenyang, Liaoning, China, September 2016.

Wei Yang, Zhongwen Zhao and Yves Lepage, “Inflating Training Data for Statistical Machine Translation Using Unaligned Monolingual Data”, 言語処理学会第21回年次大会, pp. 1016–1019, Kyoto, Japan, March 2015.

Wei Yang and Yves Lepage, “Extending a Training Corpus for SMT by Using Analogical Associations based on Unrelated Monolingual Data”, 8th International collaboration Symposium on Information, Production and Systems (ISIPS 2014), Kitakyushu, Fukuoka, Japan, November 2014. (no pagination)

Hanfei Shen, Wei Yang and Yves Lepage, “Filtering Techniques of Construction of a Quasi-parallel Corpus for Chinese–Japanese SMT System”, 8th International collaboration Symposium on Information, Production and Systems (ISIPS 2014), Kitakyushu, Fukuoka, Japan, November 2014. (no pagination)

Yves Lepage, Wei Yang and Hao Wang, “Generating quasi-parallel training data to improve Chinese–Japanese machine translation”, 第14回日中自然言語処理共同研究促進会議 (CJNLP2014), Chengdu, Sichuan, China, October 2014.

Hao Wang, Wei Yang and Yves Lepage, “Sentence Generation by Analogy: Towards the Construction of A Quasi-parallel Corpus for Chinese–Japanese”, 言語処理学会第2 0回年次大会, pp. 900–903, Hokkaido, Japan, March 2014.

Wei Yang, Hao Wang and Yves Lepage, “Using Analogical Association to Acquire Chinese–Japanese Quasi-parallel Sentences”, 7th International collaboration Symposium on Information, Production and Systems (ISIPS 2013), Kitakyushu, Fukuoka, Japan, November 2013. (no pagination)

Wei Yang, Hao Wang and Yves Lepage, “Using Analogical Associations to Acquire Chinese–Japanese Quasi-parallel Sentences”, 第13回日中自然言語処理共同研究促進会議 (CJNLP2013), Matsue, Shimane, Japan, October 2013.

Wei Yang, Hao Wang and Yves Lepage, “Using Analogical Associations to Acquire Chinese–Japanese Quasi-parallel Sentences”, the International Workshop on Machine Vision for Industrial Innovation (MVII2013), p. 138, Kitakyushu, Fukuoka, Japan, October 2013.

Wei Yang, Jiajia Xie and Yves Lepage, “Structuring Sentential Data for Less-Documented Language Pairs: Chinese–Japanese”, 6th International collaboration Symposium on Information, Production and Systems (ISIPS 2012), Kitakyushu, Fukuoka, Japan, November 2012. (no pagination)

Wei Yang and Yves Lepage, “Combining Several Automatic Techniques to Build a Chinese–Japanese Lexicon from Freely Available Resources”, 言語処理学会第18回年次大会, pp. 747–750, Hiroshima, Japan, March 2012.

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