Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese

Chenggang Mi, Yating Yang, Xi Zhou, Xiao Li, Osman Turghun. Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese. In Maosong Sun, Yang Liu 0005, Jun Zhao 0001, editors, Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings. Volume 8801 of Lecture Notes in Computer Science, pages 259-268, Springer, 2014. [doi]

@inproceedings{MiYZLT14,
  title = {Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese},
  author = {Chenggang Mi and Yating Yang and Xi Zhou and Xiao Li and Osman Turghun},
  year = {2014},
  doi = {10.1007/978-3-319-12277-9_23},
  url = {http://dx.doi.org/10.1007/978-3-319-12277-9_23},
  researchr = {https://researchr.org/publication/MiYZLT14},
  cites = {0},
  citedby = {0},
  pages = {259-268},
  booktitle = {Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings},
  editor = {Maosong Sun and Yang Liu 0005 and Jun Zhao 0001},
  volume = {8801},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-12276-2},
}