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High-frequency units are usually processed faster than low-frequency units in language comprehension and language production. Frequency effects have been shown for words as well as word combinations. ...
This article concerns the estimation of a particular kind of probability, namely, the probability of a noun sense appearing as a particular argument of a predicate. In order to overcome the accompanyi...
In a series of seven studies, this paper examines acoustic characteristics of the spontaneous speech production of the English dative alternation (gave the book to the boy/ the boy the book) as a func...
This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems — history-based generative parsi...
Listeners find it relatively difficult to recognize words that are similar-sounding to other known words. In contrast, when asked to identify spoken nonwords, listeners perform better when the nonword...
An eye-tracking experiment examined contextual flexibility in speech processing in response to distortions in spoken input. Dutch participants heard Dutch sentences containing critical words and saw f...
In this paper the design of semi-continuous segmental probability models (SCSPMs) in large vocabulary continuous speech recogn ition is presented. The tied Gaussian densities are trained using data fr...
Theories of presupposition in the tradition associated with Karttunen, Stalnaker and Heim relate presupposition satisfaction to the content of conversational participants’ epistemic states, usually mo...
Keyword weighting plays an important role in traditional keyword spotting (KWS) systems: it helps detect keyword candidates in an utterance so that they will not be missed. However, if the keywords ar...
In this paper we present a novel method to incorporate temporal correlation into a speech recognition system based on HMM. An obvious way to incorporate temporal correlation is to condition the probab...
Inthis paper,a newstatistic model named Center-Distance Continuous Probability Model (CDCPM) for speech recognition is described, which is based on Center-Distance Normal(CDN)distribution.InaCDCPM,the...

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