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In this exploratory study we test the hypothesis that the retrieval from memory of proper noun Agents (PNAs) under processing pressure causes a greater proportion of such semantic arguments to be plac...
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found in the SAT college e...
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of linear constituency. The ...
A Flexible, Scalable Finite-State Transducer Architecture for Corpus-Based Concatenative Speech Synthesis.
Fundamental Frequency Modeling for Corpus-Based Speech Synthesis Based on a Statistical Learning Technique.
Fourteen collections of children’s reading materials were used to investigate the claim that collections of authentic texts with a common theme, or written by one author, afford readers with more repe...
The article tackles the questions of whether the general public agrees to the existence of gender-specific linguistic differences in political discourse, what language use is considered by the general...
Bouncebackability is a recent formation, coined originally to describe a football team’s averting defeat in a particular match in 2004. Football fans subsequently picked up and generalized the neologi...
Current grammar pedagogy requires English teachers to know and teach accurate use conditions and native-speakers' preferences. English teachers are also expected to be familiar with such suprasententi...

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