In recent years there has been an enormous boom in Computational Intelligence in Information Systems. This paperattempts to provide rich information and professional observation about the recent progress made in adapting Chinese language processing and computing industry to the new challenges arisen from rapid advancement of the Internet as well as the worldwide proliferation of mobile devices and social media. In the process of language digitization, search engine and machine translation are the two major typical areas pertinent to large scale industrialization. Through tracing the developing trajectory of these two areasas exemplar cases, we attempt to demonstrate how language digitization as a technology and industry deals with a range of new challenges, including intelligent applications and big data, such as business intelligence, social analytics, data/text mining, machinelearning, text summarization and information retrieval. In conclusion, we are optimistic for the future of the fields in achieving even better quality based on paradigm shift away from linguistic/rule-based methods towards empirical/data-driven methods which havebeen made possible by the availability of large amounts of training data and large computational resources.
郭玉箐 徐 俊 王海峰. 走向智能时代的语言信息化产业[J]. 语言战略研究, 2016, 1(6): 27-35.
Guo Yuqing, Xu Jun and Wang Haifeng. Recent Development of Language Information Processing Industry: Towards an Era of Artificial Intelligence. , 2016, 1(6): 27-35.
董振东 2000 《中国机器翻译的世纪回顾》,《中国计算机世界》第1 期。
Banko, Michele, Michael J. Cafarella, Stephen Soderland, Matt Broadhead, and Oren Etzioni. 2007. Open Information Extraction from the Web. Proceedings of IJCAI, 2670-2676.
Bengio, Yoshua, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003. A Neural Probabilistic Language Model. Journal of Machine Learning Research 3(6), 1137-1155.
Bhagat, Rahul and Deepak Ravichandran. 2008. Large Scale Acquisition of Paraphrases for Learning Surface Patterns. Proceedings of ACL, 674-682.
He, Wei, Zhongjun He, Hua Wu, and Haifeng Wang. 2016.Improved Neural Machine Translation with Smt Features. Proceedings of AAAI Conference on Artificial Intelligence.
Manning, Christopher D. 2015. Computational Linguistics and Deep Learning. Computational Linguistics 41(4), 699-705.
Sun, Xu, Jianfeng Gao, Daniel Micol, and Chris Quirk. 2010. Learning Phrase-Based Spelling Error Models from Clickthrough Data. Proceedings of ACL, 266-274.