搜索结果: 1-15 共查到“理论语言学 Dynamic”相关记录23条 . 查询时间(0.082 秒)
“Proactive” in many ways:Developmental evidence for a dynamic pluralistic approach to prediction
Prediction Associative strength Vocabulary development Production Children
2016/5/3
The anticipation of the forthcoming behaviour of social interaction partners is a useful ability supporting interaction and communication between social partners. Associations and prediction based on ...
Using Functional Data Analysis for investigating multidimensional dynamic phonetic contrasts
Functional Data Analysis Cue Trading
2015/12/18
The study of phonetic contrasts and related phenomena, e.g. inter- and intra-speaker variability, often requires to
analyse data in the form of measured time series, like f0 contours and formant traj...
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Dynamic Pooling Unfolding Recursive Autoencoders Paraphrase Detection
2015/6/12
Paraphrase detection is the task of examining two sentences and determining whether they have the same meaning. In order to obtain high accuracy on this task, thorough syntactic and semantic analysis ...
Using Functional Data Analysis for investigating multidimensional dynamic phonetic contrasts
Functional Data Analysis Cue Trading Dynamic trajectories Diphthong and hiatus European Spanish
2015/5/13
he study of phonetic contrasts and related phenomena, e.g. inter- and intra-speaker variability, often requires to analyse data in the form of measured time series, like f0 contours and formant trajec...
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...
The past, present, and future of English dialects:Quantifying convergence, divergence, and dynamic equilibrium
past present future English dialects Quantifying convergence divergence dynamic equilibrium
2015/4/9
This article reports on research which seeks to compare and measure the similarities between phonetic transcriptions in the analysis of relationships between varieties of English. It addresses the que...
The Use of Dynamic Reliability Scoring in Speech Recognition
Dynamic Reliability Scoring Speech Recognition
2015/3/11
The Use of Dynamic Reliability Scoring in Speech Recognition.
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
peech Recognition Dynamic Bayesian Networks
2015/3/11
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks.
Speech Recognition with Dynamic Grammars Using Finite-State Transducers
Dynamic Grammars Finite-State Transducers
2015/3/11
Speech Recognition with Dynamic Grammars Using Finite-State Transducers.
A Dynamic Vocabulary Spoken Dialogue Interface
Dynamic Vocabulary Spoken Dialogue Interface
2015/3/11
A Dynamic Vocabulary Spoken Dialogue Interface.
A Multi-Pass, Dynamic-Vocabulary Approach to Real-Time, Large-Vocabulary Speech Recognition
Real-Time Large-Vocabulary Speech Recognition
2015/3/11
A Multi-Pass, Dynamic-Vocabulary Approach to Real-Time, Large-Vocabulary Speech Recognition.
An Inner-Product Lower-Bound Estimate for Dynamic Time Warping
dynamic time warping posteriorgram
2015/3/9
An Inner-Product Lower-Bound Estimate for Dynamic Time Warping.
A Piecewise Aggregate Approximation Lower-Bound Estimate for Posteriorgram-based Dynamic Time Warping
dynamic time warping lower-bound
2015/3/9
A Piecewise Aggregate Approximation Lower-Bound Estimate for Posteriorgram-based Dynamic Time Warping.
Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units
spoken term detection GPU
2015/3/9
Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units.
Mispronunciation Detection via Dynamic Time Warping on Deep Belief Network-Based Posteriorgrams
mispronunciation detection dynamic time warping
2015/3/9
Mispronunciation Detection via Dynamic Time Warping on Deep Belief Network-Based Posteriorgrams.