참고문헌
- Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M. & Negri, M. (2016, August). Findings of the 2016 conference on machine translation. In Proceedings of the First Conference on Machine Translation: 2, Shared Task Papers (pp. 131-198).
- Ondrej, B., Chatterjee, R., Christian, F., Yvette, G., Barry, H., Matthias, H. & Negri, M. (2017). Findings of the 2017 conference on machine translation (wmt17). In Second Conference onMachine Translation (pp. 169-214). The Association for Computational Linguistics.
- Allen, J. & Hogan, C. (2000, April). Toward the development of a post editing module for raw machine translation output: A controlled language perspective. In Third International Controlled Language Applications Workshop (CLAW-00) (pp. 62-71).
- Simard, M., Goutte, C. & Isabelle, P. (2007, April). Statistical phrase-based post-editing. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference (pp. 508-515).
- Snover, M., Dorr, B., Schwartz, R., Micciulla, L, & Makhoul, J. (2006, August). A study of translation edit rate with targeted human annotation. In Proceedings of association for machine translation in the Americas, 200(6) .
- Papineni, K., Roukos, S., Ward, T. & Zhu, W. J. (2002, July). BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting on association for computational linguistics (pp. 311-318). Association for Computational Linguistics.
- Junczys-Dowmunt, M. & Grundkiewicz, R. (2018). Ms-uedin submission to the wmt2018 ape shared task: Dual-source transformer for automatic post-editing. arXiv preprint arXiv:1809.00188.
- Lopes, A. V., Farajian, M. A., Correia, G. M., Trenous, J. & Martins, A. F. (2019). Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing. arXiv preprint arXiv:1905.13068.
- Correia, G. M. & Martins, A. F. (2019). A simple and effective approach to automatic post-editing with transfer learning. arXiv preprint arXiv:1906.06253.
- Lee, W., Shin, J. & Lee, J. H. (2019, August). Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder. In Proceedings of the Fourth Conference on Machine Translation, 3 (pp. 112-117).
- Negri, M., Turchi, M., Chatterjee, R. & Bertoldi, N. (2018). ESCAPE: a large-scale synthetic corpus for automatic post-editing. arXiv preprint arXiv:1803.07274.
- J. H. Shin, Y. K. Kim & J. H. Lee. (2019) Transformer-based Automatic Post-Editing for Machine Translation KIISE Transactions on Computing Practices, 25(1), 64-69. https://doi.org/10.5626/ktcp.2019.25.1.64
- Pal, S., Herbig, N., Kruger, A. & van Genabith, J. (2018, October). A Transformer-Based Multi-Source Automatic Post-Editing System. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers (pp. 827-835).
- Shin, J. & Lee, J. H. (2018, October). Multi-encoder Transformer Network for Automatic Post-Editing. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers (pp. 840-845).
- Tebbifakhr, A., Agrawal, R., Negri, M. & Turchi, M. (2018, October). Multi-source transformer with combined losses for automatic post editing. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers (pp. 846-852).
- Libovicky, J., Helcl, J., Tlusty, M., Pecina, P. & Bojar, O. (2016). CUNI system for WMT16 automatic post-editing and multimodal translation tasks. arXiv preprint arXiv:1606.07481.
- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., & Polosukhin, I. (2017). Attention is all you need. In Advances in neural information processing systems (pp. 5998-6008).
- H. Shin, W. K. Lee, Y. K. Kim & J. H. Lee. (2019). Research for the Decoder Structure of Multi-encoder Transformer-based Automatic Post-Editing Model. KIISE 2019, 634-636.
- W. K. Lee, H. Shin, Y. K. Kim & J. H. Lee. (2019). Transformer-based Automatic Post-Editing with Effective Relation Modeling between Source and its Translations. KIISE 2019, 619-621.
- Lee, W., Park, J., Go, B. H. & Lee, J. H. (2019). Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs. arXiv preprint arXiv:1908.05679.
- Chatterjee, R., Negri, M., Turchi, M., Blain, F., & Specia, L. (2018, March). Combining quality estimation and automatic post-editing to enhance machine translation output. In Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 1, (pp. 26-38).