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Word sense disambiguation and the related field of automated word sense induction traditionally
assume that the occurrences of a lemma can be partitioned into senses. But this seems
to be a much eas...
Synchronous Context-Free Grammars and Optimal Parsing Strategies
Synchronous Context-Free Grammars Optimal Parsing Strategies
2016/7/7
The complexity of parsing with synchronous context-free grammars is polynomial in the sentence
length for a fixed grammar, but the degree of the polynomial depends on the grammar. Specifi-
cally, th...
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Computational Models Language Phenomena
2016/7/7
Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research
published to...
2005年,由教育部语言文字信息管理司与华中师范大学共建“国家语言资源监测与研究中心网络媒体语言分中心”，中心机构设在华中师范大学教育信息技术工程研究中心，杨宗凯校长任中心主任。经过5年的建设，取得了较好的成绩，2010年语言文字信息管理司通过了对网络媒体语言分中心的验收。2012年，为深化已有的建设成果，建立网络媒体语言监测的长效机制，更名为“国家语言资源监测与研究网络媒体中心”，归属于国家语委...
华中师范大学文学院余一骄教授（图）
华中师范大学文学院 余一骄 教授 计算语言学
2023/5/12
余一骄（曾用名：余一娇），工学博士，华中师范大学文学院语言学系教授。研究兴趣是：计算语言学、二语习得、计算机网络。他于1999年在华中师范大学计算机科学系获“计算机软件”理学学士学位；2002年在华中师范大学计算机科学系获“计算机应用技术”工学硕士学位；2009年在华中科技大学计算机学院获“计算机科学与技术”工学博士学位。2002年至今在华中师范大学文学院语言学系从事教学、科研工作。
湖北科技学院计算机科学与技术学院钱涛副教授（图）
湖北科技学院计算机科学与技术学院 钱涛 副教授 自然语言处理 计算语言学 生物文本分析
2024/4/18
钱涛，计算机科学与技术学院数据科学与大数据教研室副教授，1975.12出生，研究领域：自然语言处理、计算语言学、生物文本分析。
Optimization for Statistical Machine Translation:A Survey
Optimization Statistical Machine Translation
2016/4/7
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we surv...
Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser
Integrating Selectional Constraints Subcategorization Frames Dependency Parser
2016/4/7
Statistical parsers are trained on treebanks that are composed of a few thousand sentences. In order to prevent data sparseness and computational complexity, such parsers make strong independence hypo...
Online Learning for Statistical Machine Translation
Online Learning Statistical Machine Translation
2016/4/7
We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the f...
A Comparative Study of Minimally Supervised Morphological Segmentation
Minimally Supervised Morphological Segmentation
2016/4/7
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented i...
全国第十五届计算语言学会议（CCL 2016）征稿
第十五届 计算语言学 会议
2016/3/23
“第十五届全国计算语言学学术会议”（（The Fifteenth China National Conference on Computational Linguistics, CCL 2016）将于2016年10月15日—16日在鲁东大学举行。作为国内最大的自然语言处理专家学者的社团组织——中国中文信息学会（CIPS）的旗舰会议，全国计算语言学会议从1991年开始每两年举办一次，从2013年开始...
Automated essay evaluation and feedback systems:Are they useful for ESL test takers and ESL teachers?
Automated essay evaluation feedback systems ESL test takers ESL teachers
2016/2/25
Automated essay scoring (AES) has become increasingly popular in the last decade with many assessment agencies developing and promoting their automated scoring and automated feedback systems. Ware (20...
Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language p...
A Study of Machine Reading–Solving Math Word Problems in a Human Comprehensive Way
Machine Reading Math Word Human Comprehensive
2016/2/25
Since Big Data mainly aims to explore the correlation between surface features but not their underlying causality relationship, the Big Mechanism program was initiated by DARPA (USA) to find out “why”...
With recent advances in machine learning, big data, and computing infrastructure, computers will realistically reach human parity in understanding spoken language in the next few years. The computing ...