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There is a growing literature investigating the relationship between oscillatory neural dynamics measured using electroencephalography (EEG) and/or magnetoencephalography (MEG), and sentence-level l...
Formalizing “meaning as context” mathematically leads to a new, algebraic theory of meaning, in which composition is bilinear and associative. These properties are shared by other methods that have ...
Many NLP applications entail that texts are classified based on their semantic distance (how similar or different the texts are). For example, comparing the text of a new document to that of d...
A Probabilistic Framework for Segment-Based Speech Recognition.
Virtual Modality: a Framework for Testing and Building Multimodal Applications.
A Wavelet and Filter Bank Framework for Phonetic Classification.
Flexible Multi-Stream Framework for Speech Recognition Using Multi-Tape Finite-State Transducers.
Broad Phonetic Class Recognition in a Hidden Markov Model Framework Using Extended Baum-Welch Transformations.
Two-Stage Translation: A Combined Linguistic and Statistical Machine Translation Framework.
A Generic Framework for Building Dialogue Games for Language Learning: Application in the Flight Domain.
‘Linguistic annotation’ covers any descriptive or analytic notations applied to raw language data. The basic data may be in the form of time functions – audio, video and/or physiological recordings – ...
Learning to Win by Reading Manuals in a Monte-Carlo Framework
The lexis of fundamental medical English:Classificatory framework and rhetorical function (a statistical approach) 。

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