NiuTrans: An Open-Source Statistical Machine Translation System

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Recent Seminar

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News


实验室参加日本东京NTCIR-9 PatentMT Workshop(2011.12.6-10)

实验室参加中国中文信息学会第七次全国代表大会(2011.12.4-5)

实验室庆祝成立31周年生日庆典(2011.12.01)

朱老师应邀参加日本宫崎中日双边研讨会(2011.10.28)

Sony和中兴通讯客人来访(2011.10.19)

实验室启动NiuTrans Server研制计划(2011.10.01)

实验室NiuTrans在NTCIR9 汉英专利翻译评测中取得好成绩(2011.09.25)

朱老师受邀参加了中日两国机器翻译技术合作研讨会(2011.09.25)

实验室参加了MT Summit XIII 和CWMT2011 (2011.09.19)

朱老师为ROCLing2011做大会特邀报告(2011.09.09)

朱老师应邀参加百度世界技术大会(2011.09.1)

实验室参加YSSNLP2011和国内计算语言学年会(2011.08.10-19)

日本Sony公司访问实验室(2011.07.21)

香港CIIPS公司CEO Dr. Al Kwok 和Dr. Matthew Ma 来访(2011.07.19)

中国刑警学院王虹老师来访(2011.07.07)

NiuPlan.NiuTrans alpha 测试版对外正式发布 (2011.07.04)

值得一看的毕业留念视频(2011.06.30)

庆祝2011届实验室毕业生聚餐(2011.06.29)

实验室参加ACL2011学术会议(2011.06.19)

实验室正式启动"Niu Plan"(2011.06.12)

实验室中了两篇ACM TALIP杂志论文和两篇ACL Short Papers(2011.04.09)

索尼中国研究院院长一行访问我们实验室(2011.01.20)

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地址: 辽宁省沈阳市和平区3号巷11号
      东北大学 主楼410

邮箱:东北大学132# 计算机软件研究所
      自然语言处理实验室

邮编:110819

电话:024-83672481

传真:024-83672481

Email: neunlp1980@gmail.com

#132, Natural Language Processing Lab
Institute of Computer Software
College of Information Science & Engineering
Northeastern University, Shenyang, China.

110819

Tel:+86-24-83672481 Fax:+86-24-83672481



 
 


About us

Overview of NLP Group at Northeastern University, China

Founded in 1980 by Prof. Tianshun Yao and now led by Prof. Jingbo Zhu, Natural Language Processing Laboratory at Northeastern University (东北大学自然语言处理实验室), located in Shenyang China, has long been involved in the research of omputational linguistics, focusing on language parsing, text mining, and machine translation etc.


After over two decades' sustained work by its talented staff and students, NEU-NLPLab ranks among the top notch research bases with its high international prestige, advanced theoretical research and well-established industrial development capabilities.

Our research covers a range of topics in natural language processing (自然语言处理), including:

Machine Translation (机器翻译): Our current work in MT is focused on phrase-based and syntax-based SMT, involving string-to-tree and tree-to-string SMT. We have also studied example-based and pattern-based MT, and document-level translation techniques.

Language Parsing (语言分析): Our work in this area includes segmentation, POS tagging, chunking, semantic role labeling, relation extraction, syntactic parsing and semantic parsing.

Text Mining (文本挖掘): In this area we are focusing on text segmentation, classification, sentiment analysis and opinion mining, patent retrieval and mining, summarization, IE, and ontology learning.


 
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