Linggle Knows: A Search Engine Tells How People Write

Jhih-Jie Chen, Hao-Chun Peng, Mei-Cih Yeh, Peng-Yu Chen, Jason Chang


Abstract
This paper shows the great potential of incorporating different approaches to help writing. Not only did they solve different kinds of writing problems, but also they complement and reinforce each other to be a complete and effective solution. Despite the extensive and multifaceted feedback and suggestion, writing is not all about syntactically or lexically well-written. It involves contents, structure, the certain understanding of the background, and many other factors to compose a rich, organized and sophisticated text. (e.g., conventional structure and idioms in academic writing). There is still a long way to go to accomplish the ultimate goal. We envision the future of writing to be a joyful experience with the help of instantaneous suggestion and constructive feedback.
Anthology ID:
C16-2035
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
166–169
Language:
URL:
https://www.aclweb.org/anthology/C16-2035
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C16-2035.pdf