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Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
Applications of Lexicographic Semirings to Problems in Speech and Language Processing
Lexicographic Semirings Speech and Language Processing
2015/9/14
This paper explores lexicographic semirings and their application to problems in speech and language processing. Specifically, we present two instantiations of binary lexicographic semirings, one invo...
Spotting and Discovering Terms through Natural Language Processing
Spotting Discovering Terms Natural Language Processing
2015/8/27
Christian Jacquemin’s book Spotting and Discovering Terms through Natural Language Processing is a much needed and most welcome addition to the field of computational terminology. The central issue of...
Natural Language Processing and Knowledge Representation:Language for Knowledge and Knowledge for Language
Natural Language Processing Knowledge Representation:Language for Knowledge Knowledge for Language
2015/8/26
The strong connection between knowledge representation and reasoning and natural language is the main theme of this book. The book is divided into two parts.Part I, consisting of five original or upda...
As a computational lexicologist with little background in speech technology, I approached this book as an opportunity to gain a basic understanding of how lexicons
are used in speech and to see wheth...
Foundations of Statistical Natural Language Processing
Natural Language Processing Foundations
2015/8/25
In 1993, Eugene Charniak published a slim volume entitledStatistical Language Learning.
At the time, empirical techniques for natural language processing were on the rise;
that year, Computational L...
Speech and Language Processing:An Introduction to Natural Language Processing,Computational Linguistics,and Speech Recognition
Speech and Language Processing Introduction to Natural Language Processing Computational Linguistics Speech Recognition
2015/8/25
Jurafsky and Martin’s long-awaited text sets a new gold standard that will be difficult to surpass, as attested by the flurry of glowing reviews that accompanied its publication early this year.1 In a...
Architectures and Mechanisms for Language Processing
Architectures Mechanisms Language Processing
2015/8/25
The concerns of psycholinguists will look very familiar to people engaged in CL research. A major area of investigation in psycholinguistics is determining how a listener uses frequency and other expe...
Applications of Finite-State Transducers in Natural-Language Processing
Finite-State Transducers Natural-Language Processing
2015/6/18
This pap er is a review of some of the ma jor applications of nite-state transducers in natural-language pro cessing ranging from morphological analysis to nite-state parsing. The analysis and gener...
The Stanford CoreNLP Natural Language Processing Toolkit
Stanford CoreNLP Natural Language Processing Toolkit
2015/6/12
We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP communi...
Four central questions about prediction in language processing
Language processing Prediction
2015/5/13
The notion that prediction is a fundamental principle of human information processing has been en vogue over recent years. The investigation of language processing may be particularly illuminating for...
Using the visual world paradigm to study language processing: A review and critical evaluation
language processing world paradigm
2015/4/10
We describe the key features of the visual world paradigm and review the main research areas where it has
been used. In our discussion we highlight that the paradigm provides information about the wa...
北京大学信息科学技术学院自然语言处理导论课件第一章 Language Processing and Python
北京大学信息科学技术学院 自然语言处理导论 课件 第一章 Language Processing and Python
2015/2/2
北京大学信息科学技术学院自然语言处理导论课件第一章 Language Processing and Python。
Transformation—Based Error—Driv en Learning and Natural Language Processing:A Case Study in Part of Speech Tagging
Transformation—Based Error—Driven Learning Natural Language Processing Part of Speech Tagging
2015/1/27
Recently there has been a rebirth of empiricism in the eld of natural language processing Manual encoding of linguistic information is being chal lenged by automated corpusbased learning as a method ...
Centre for Research in Speech and Language Processing（CRSLP）, Chulalongkorn University
CRSLP Centre for Research in Speech and Language Processing Chulalongkorn University 语音学 语音处理
2007/12/27
Centre for Research in Speech and Language Processing (CRSLP) was founded in 2001 as the Centre of Excellence by Chulalongkorn University. The centre is situated at the Faculty of Arts, Chulalongkorn ...