A benchmark dataset and evaluation methodology for Chinese zero pronoun translation

Author:

Xu Mingzhou,Wang LongyueORCID,Liu Siyou,Wong Derek F.,Shi Shuming,Tu Zhaopeng

Funder

Fundo para o Desenvolvimento das Ciencias e da Tecnologia

University of Macau

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference71 articles.

1. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In Y. Bengio & Y. LeCun (Eds.), Proceedings of the 2015 international conference on learning representations, 2015. http://arxiv.org/abs/1409.0473

2. Baran, E., Yang, Y., & Xue, N. (2012). Annotating dropped pronouns in Chinese newswire text. In Proceedings of the 2012 eighth international conference on language resources and evaluation, 2012 (pp. 2795–2799).

3. Barbosa, P. P. (2019). Pro as a minimal NP: Toward a unified approach to pro-drop. Linguistic Inquiry, 50(3), 487–526.

4. Cai, S., Chiang, D., & Goldberg, Y. (2011). Language-independent parsing with empty elements. In Proceedings of the 2011 annual meeting of the Association for Computational Linguistics, Portland, Oregon, 2011 (pp. 212–216).

5. Chen, C., & Ng, V. (2013). Chinese zero pronoun resolution: Some recent advances. In Proceedings of the 2013 conference on empirical methods in natural language processing, 2013 (pp. 1360–1365). https://aclanthology.org/D13-1135

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