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Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain
map lexical syntactic
2017/9/1
Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using...
Stochastic Language Generation in Dialogue using Factored Language Models
Stochastic Language Generation Dialogue Factored Language Models
2015/9/14
Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted gene...
Machine Translation with Inferred Stochastic Finite-State Transducers
Stochastic Finite-State Transducers Machine Translation
2015/8/31
Finite-state transducers are models that are being used in different areas of pattern recognition and
computational linguistics. One of these areas is machine translation, in which the approaches tha...
Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation MethodsforLexical-Functional Grammar
Ambiguity Packing Stochastic Disambiguation
2015/6/23
An experimental evaluation of summarization quality shows a
close correlation between the automatic
parse-based evaluation and a manual evaluation of generated strings.
Hick’s Law in a Stochastic Race Model with Speed–Accuracy Tradeoff
Hick’s law choice-RT race models accumulators speed– accuracy tradeoff Wiener process diffusion Shannon information
2015/6/19
We present an analytic solution for a race model of n stochastic accumulators for multiple choice reaction time. We show that to maintain a constant level of accuracy, the response criterion needs to ...
Stochastic Interactive Processes and the Effect of Context on Perception
Stochastic Interactive Processes Context on Perception
2015/6/19
The effects of context on perceptual identification responses given without tinle pressure are well-described by classical models in which contextual and stimulus information exert independent effects...
Where Stochastic OT fails:a discrete model of metrical variation
Stochastic OT fails discrete model metrical variation
2015/6/11
In a remarkable confirmation of OT in an empirical domain for which it was not originally intended, phonological and morphological variation has been successfully modeled by partially ranked categoric...
Particle Mixed Membership Stochastic Block Model.
The task of speech processing is being spread over last years with speaker recognition,
which consists of speaker identification and speaker verification. In the paper there is
an explained method w...
WORD-CLASS STOCHASTIC MODEL IN A SPOKEN LANGUAGE DIALOGUE SYSTEM
WORD-CLASS STOCHASTIC MODEL SPOKEN LANGUAGE DIALOGUE SYSTEM
2013/6/27
Spoken Language Understanding (SLU) is a key component of spoken dialogue systems. One popular SLU method is to use the continuous sp eech recognizer where the Part-Of-Speech (POS) tagging is employed...