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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...
Word Frequency Distributions     Word  vocabulary       font style='font-size:12px;'> 2015/8/27
Baayen’s book must surely in the future become the standard point of departure for statistical studies of vocabulary. Baayen begins with a puzzle that has troubled many investigators who have studie...
Bigrams and trigrams are commonly used in statistical natural language processing; this paper will describe techniques for working with much longer n-grams. Suffix arrays (Manber and Myers 1990) were ...
In a medical information extraction system, we use common word association techniques to extract side-effect-related terms. Many of these terms have a frequency of less than five. Standard word-associ...
This paper proposes a novel two-layer approach to fundamental frequency modeling for concatenative speech synthesis based on a statistical learning technique called additive models. We define an addit...
Word frequencies play important roles in many NLP-related applications. Word frequency estimation for Chinese remains a big challenge due to the characteristics of Chinese. An underlying fact is that ...
Word frequencies play important roles in a variety of NLP-related applications. Word frequency estimation for Chinese is a big challenge due to characteristics of Chinese, in particular word-formation...

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