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Fast oscillatory dynamics during language comprehension: Unification versus maintenance and prediction?
EEG MEG Language comprehension
2015/12/18
The role of neuronal oscillations during language comprehension is not yet well understood. In this paper
we review and reinterpret the functional roles of beta- and gamma-band oscillatory activity d...
As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies and
tools to proce...
Arabic Dialect Identification
Arabic dialect manner
2015/9/14
The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a nontrivial manner from the various spoken regional dialects of Arabic—the true “native languages”
of Arabic speaker...
Development of large-scale grammars for natural languages is a complicated endeavor: Grammars are developed collaboratively by teams of linguists, computational linguists, and computer
scientists, in...
Automatic Verb Classification Based on Statistical Distributions of Argument Structure
Statistical Distributions Argument Structure
2015/8/26
Automatic acquisition of lexical knowledge is critical to a wide range of natural language processing tasks. Especially important is knowledge about verbs, which are the primary source of
relational ...
The balance between memory and unification in semantics: A dynamic account of the N400
Semantics Neuroscience N400.
2015/4/10
At least three cognitive brain components are necessary in order for us to be
able to produce and comprehend language: a Memory repository for the
lexicon, a Unification buffer where lexical informa...
Perceptual Recovery from Consonant-Cluster Simplification in Korean Using Language-Specific Phonological Knowledge
Speech perception Continuous-speech processes
2015/4/10
pTwo experiments examined whether perceptual recovery from Korean
consonant-cluster simplification is based on language-specific phonological knowledge. In
tri-consonantal C1C2C3 sequenc...
Highly Accurate Mandarin Tone Classification In The Absence of Pitch Information
speech recognition Mandarin tone modeling deep neural networks
2015/2/5
A deep neural network (DNN) classifier based only on 40 mel-frequency cepstral coefficients (MFCCs) achieved 29.99%frame error rate (FER) and 16.86%segment error rate (SER) in recognizing ...