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Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly
Huang, Guoping; Zhang, Jiajun; Zhou, Yu; Zong, Chengqing
发表期刊ACM Transactions on Asian and Low-Resource Language Information Processing
2019
卷号18期号:1页码:Article No. 4
摘要

Computer-aided translation (CAT) systems are the most popular tool for helping human translators efficiently perform language translation. To further improve the translation efficiency, there is an increasing interest in applying machine translation (MT) technology to upgrade CAT. To thoroughly integrate MT into CAT systems, in this article, we propose a novel approach: a new input method that makes full use of the knowledge adopted by MT systems, such as translation rules, decoding hypotheses, and n-best translation lists. The proposed input method contains two parts: a phrase generation model, allowing human translators to type target sentences quickly, and an n-gram prediction model, helping users choose perfect MT fragments smoothly. In addition, to tune the underlying MT system to generate the input method preferable results, we design a new evaluation metric for the MT system. The proposed input method integrates MT effectively and imperceptibly, and it is particularly suitable for many target languages with complex characters, such as Chinese and Japanese. The extensive experiments demonstrate that our method saves more than 23% in time and over 42% in keystrokes, and it also improves the translation quality by more than 5 absolute BLEU scores compared with the strong baseline, i.e., post-editing using Google Pinyin.

关键词Machine Translation
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/23189
专题自然语言处理团队
作者单位中国科学院自动化研究所
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Huang, Guoping,Zhang, Jiajun,Zhou, Yu,et al. Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly[J]. ACM Transactions on Asian and Low-Resource Language Information Processing,2019,18(1):Article No. 4.
APA Huang, Guoping,Zhang, Jiajun,Zhou, Yu,&Zong, Chengqing.(2019).Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly.ACM Transactions on Asian and Low-Resource Language Information Processing,18(1),Article No. 4.
MLA Huang, Guoping,et al."Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly".ACM Transactions on Asian and Low-Resource Language Information Processing 18.1(2019):Article No. 4.
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