Abstract
Chinese pinyin input method engine (IME) lets user conveniently input Chinese into a computer by typing pinyin through the common keyboard. In addition to offering high conversion quality, modern pinyin IME is supposed to aid user input with extended association function. However, existing solutions for such functions are roughly based on oversimplified matching algorithms at word-level, whose resulting products provide limited extension associated with user inputs. This work presents the Moon IME, a pinyin IME that integrates the attention-based neural machine translation (NMT) model and Information Retrieval (IR) to offer amusive and customizable association ability. The released IME is implemented on Windows via text services framework.- Anthology ID:
- P18-4024
- Volume:
- Proceedings of ACL 2018, System Demonstrations
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Fei Liu, Thamar Solorio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 140–145
- Language:
- URL:
- https://aclanthology.org/P18-4024
- DOI:
- 10.18653/v1/P18-4024
- Cite (ACL):
- Yafang Huang, Zuchao Li, Zhuosheng Zhang, and Hai Zhao. 2018. Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association. In Proceedings of ACL 2018, System Demonstrations, pages 140–145, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association (Huang et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/P18-4024.pdf