Yang Yating, vice director of Multilingual Information Technology Lab (XTIPC, CAS), professor, Ph.D. supervisor. Yang is a member of multiple associations, including Youth Innovation Promotion Association (CAS), NLP Technical Committee (CCF), Youth Working Committee (CCF). She also serves as vice director of Youth Working Committee (CCF).
2003/09-2007/06, B.S. in Computer Science and Technology, Chang’an University. Yang once served as party branch secretary and part-time instructor at school. She obtained scholarships and honors including Merit Student and Outstanding Student leaders etc.
2007/09-2012/06, Ph.D. in Computer Application Technology, Chinese Academy of Sciences. Yang once served as president of the student union.
She obtained honors including Merit Student, Outstanding Student leaders, Outstanding Graduate, and Outstanding Communist Party Member etc. She also won the President Award of CAS. Moreover, one of her papers was shortlisted as Best Paper of Students in an academic conference.
2012/07-, postdoctoral researcher, Key Laboratory of Speech Acoustics and Content Understanding (CAS). Multilingual Information Technology Lab (XTIPC, CAS), professor, Ph.D. supervisor, the head of multilingual NLP research group. Yang also serves as vice director of Multilingual Information Technology Lab.
Research Areas and Achievements：
Yang mainly engaged in research of multilingual NLP technologies, including machine translation, language identification, topic detection, and content understanding. She is in charge of the project "Research and application of Multilingual Machine Translation System for B&R", which is one of the key projects in "One-Three-Five" Program of XTIPC. She is also a reviewer of NLPCC, CCL, CCMT, IEEE GlobalSIP etc.
Yang hosted and participated in more than 30 scientific projects, including the National Key R&D Program, the National Natural Science Foundation, the Key R&D Program of Xinjiang, and other programs of CAS. She has obtained 40 software copyrights and 9 national invention patents. She has published more than 100 high-quality academic papers in journals and conferences at home and abroad. Moreover, as a supervisor, Yang has cultivated more than 30 graduate students.
Selected Honor：
President Award of CAS
First prize of Xinjiang Science and Technology Progress Award
Representative Publications：
1.Yating Yang, Xiao Li, Tonghai Jiang, Jinying Kong, Bo Ma, Xi Zhou, Lei Wang, Improving Adversarial Neural Machine Translation with Prior Knowledge, IEEE GlobalSIP,2017.8. ( EI Compendex indexed).
2.Yating Yang, Chenggang Mi, Bo Ma, Rui Dong, Lei Wang and Xiao Li. Character Tagging-Based Word Segmentation for Uyghur. Springer Communications in Computer and Information. Vol. 493, 2014: 61-69. (EI Compendex indexed)
3.Yating YANG, Bo MA, Xinyu TANG, Osman TURGHUN. Speech Recognition Research on Uyghur Accent Spoken Language[C]. 2013 International Conference on Asian Language Processing, Urumqi, China, 2013. (EI Compendex indexed).
4.YANG Yating, MA Bo, WANG Lei, TURGHUN Osman, LI Xiao. Pronunciation variations of Uyghur in the automatic speech recognition system[J]. Journal of Tsinghua University(Science and Technology), 2011, 51(9): 1265-1269, (EI Compendex indexed).
5.YANG Yating, MA Bo, WANG Lei, TURGHUN Osman, LI Xiao. Multi-pronunciation dictionary based accent modeling for continuous speech recognition[J]. Journal of Tsinghua University (Science and Technology), 2011, 51(9): 1312-1315, (EI Compendex indexed).
6.Bo Ma, Xi Zhou, Yating Yang, Junlin Zhou. Uyghur Semantic Similarity Computation based on Contextual Information in Web Documents. Journal of Computational Information Systems [J], (EI Compendex indexed).
7.Bo Ma, Yating Yang*, Xi Zhou, Junlin Zhou. Semantically enhanced Uyghur Information Retrieval Model. Journal of Software[J], (EI Compendex indexed).
8.Chenggang Mi, Yating Yang*, Lei Wang, Xiao Li and Kamali Dalielihan. Detection of Loan Words in Uyghur Texts. Springer Communications in Computer and Information. Vol. 496, 2014: 103-112. (EI Compendex indexed)
9.Chenggang Mi, Yating Yang*, Lei Wang and Xiao Li. Co-occurrence Degree Based Word Alignment in Statistical Machine Translation. The Open Automation and Control Systems Journal. 2014(6): 561-565. (EI Compendex indexed)
10.Chenggang Mi, Yating Yang*, Xi Zhou, Xiao Li and Turghun Osman. Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese. Springer Lecture Notes in Artificial Intelligence. Vol. 8801, 2014: 259-268. (EI Compendex indexed)
Representative Patents：
1. Text Similarity Measuring System Based on Multi-Feature Fusion, CN104699763A
2. Entity Linking System for Low Resource Languages, CN104933039A
Copyrights:
1. Key Word Retrieval (Root-based Searching) for Uyghur Language V1.0, 2017SR634658
2. Key Word Retrieval (Root-based Searching) for Kazakh Language V1.0, 2017SR632265
3. Word Segmentation System for Kazakh Language V1.0, 2017SR634541
4. Web based Uyghur Chinese Machine Translation System V1.0, 2017SR649088
5. Uyghur Chinese Machine Translation System Fusion Software V1.0, 2017SR698691
6. Software for Non-standard Latin Uyghur and Current Uyghur Converting V1.0, 2018SR1030794
7. Uyghur Chinese Machine Translation System V1.0, 2018SR1031920
8. Uyghur Text Summarization System V1.0, 2018SR1030102
