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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 ...
Three linguistic processes have been previously proposed to account for the influence of language on deductive reasoning. To test for these processes,100 5"s were each asked to solve 64 different form...
Categorical perception (CP) of color is the faster and more accurate discrimination of two colors from different categories than two colors from the same category, even when same- and differentcategor...
Particle verbs (e.g., look up) are lexical items for which particle and verb share a single lexical entry. Using event-related brain potentials, we examined working memory and long-term memory involve...
Explanations in the domain of kinship can be sought on several different levels: Jones addresses online processing, as well as issues of origins and innateness. We argue that his framework can more us...
Addictions to illicit drugs are among the nation’s most critical public health and societal problems. The current opioid prescription epidemic and the need for buprenorphine/naloxone (SuboxoneH; SUBX...
Acoustic feature similarity between search results has been shown to be very helpful for the task of spoken term detection (STD).A graph-based re-ranking approach for STD has been proposed based on th...
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages.
Text-Dependent Speaker Recognition (TDSR) is widely used nowadays. The short-term features like Mel-Frequency Cepstral Coefficient (MFCC) have been the dominant features used in traditional...
A widely used approach for keyword extraction and content-based tag recommendation is ranking terms according to some statistical criteria. In many cases documents such as news articles and product re...
Data rates in the upcoming 3G long term evolution (LTE) standard will be manifold when compared to the current universal mobile telecommunications system. Implementing receivers conforming with the hi...
This paper prompt a method to construct the Chinese-English term bank in the information science and technology field. It is important to create a well knowledge classification system before we constr...
‘Synonymous Term’ is one of the most important features in term bank construction. Usually, this feature is described manually by field experts or terminologists. Work has been done to extract synonym...
In this paper, a corpus-base approach is presented in the construction of the information science and technology term bank in which domain classification, reference and part of the definition are extr...

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