搜索结果: 1-15 共查到“普通语言学 Y-model”相关记录72条 . 查询时间(0.198 秒)
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Word Sense Disambiguation Noisy Channel Model
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2015/9/8
We introduce a generative probabilistic model, the noisy channel model, for unsupervised word
sense disambiguation. In our model, each context C is modeled as a distinct channel through
which the sp...
A Computational Model of Children's Semantic Memory
LSA Latent Semantic Analysis semantic memory children
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2015/7/30
A computational model of children's semantic memory is built from the Latent Semantic Analysis (LSA) of a multisource child corpus. Three tests of the model are described, simulating a vocabulary test...
Using Speakers’ Referential Intentions to Model Early Cross-Situational Word Learning
word meaning
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2015/6/24
Word learning is a ‘‘chicken and egg’’ problem. If a child could understand speakers’ utterances, it
would be easy to learn the meanings of individual words,
and once a child knows what many words m...
Success and failure in teaching the [r]–[l] contrast to Japanese adults:Tests of a Hebbian model of plasticity and stabilization in spoken language perception
Success and failure [r]–[l] Japanese adults Hebbian model plasticity and stabilization spoken language perception
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2015/6/19
A Hebbian model of learning predicts that adults may be able to acquire a nonnative speech contrast if they are trained with stimuli that are exaggerated to make them perceptually distinct. To test th...
A Computational Model of Semantic Memory Impairment:Modality Specificity and Emergent Category Specificity
Computational Model Semantic Memory Impairment Modality Specificity Emergent Category Specificity
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2015/6/19
It is demonstrated how a modality-specific semantic memory system can account for categoryspecific impairments after brain damage. In Experiment I, the hypothesis that visual and functional knowledge ...
A Distributed,Developmental Model of Word Recognition and Naming
Distributed Developmental Model Word Recognition Naming
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2015/6/19
A paralleldistributed processing model of visual word recognitionand pronunciation is described. The model consists of sets of orthographic and phonologlc~ units and an interlevel of hidden units. Wei...
A statistical model of the grammatical choices in child production of dative sentences
statistical model the grammatical choices child production dative sentences
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2015/6/17
Focusing on children’s production of the dative alternation in English, we examine whether children’s choices are influenced by the same factors that influence adults’ choices, and whether, like adult...
A statistical model of the grammatical choices in child production of dative sentences
statistical model the grammatical choices child production dative sentences
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2015/6/17
Focusing on children’s production of the dative alternation in English, we examine whether children’s choices are influenced by the same factors that influence adults’ choices, and whether, like adult...
Natural Language Grammar Induction using a Constituent-Context Model
Natural Language Grammar Induction Constituent
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2015/6/12
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according to generative PCFG m...
A Generative Constituent-Context Model for Improved Grammar Induction
Generative Constituent Context Model Grammar Induction
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2015/6/12
We present a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and contexts. Parameter search with EM produces higher...
A Generative Model for Semantic Role Labeling
A Generative Model Semantic Role Labeling
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2015/6/12
Determining the semantic role of sentence constituents is a key task in determining sentence meanings lying behind a veneer of variant syntactic expression. We present a model of natural language gene...
A Joint Model for Semantic Role Labeling
Joint Model Semantic Role Labeling
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2015/6/12
We present a semantic role labeling system submitted to the closed track of the CoNLL-2005 shared task. The system, introduced in (Toutanova et al., 2005), implements a joint model that captures depen...
A Global Joint Model for Semantic Role Labeling
Global Joint Model Semantic Role Labeling
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2015/6/12
We present a model for semantic role labeling that effectively captures the linguistic intuition that a semantic argument frame is a joint structure, with strong dependencies among the arguments. We s...
An extended model of natural logic
extended model natural logic
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2015/6/12
We propose a model of natural language inference which identifies valid inferences by their lexical and syntactic features, without full semantic interpretation. We extend past work in natural logic, ...
Where Stochastic OT fails:a discrete model of metrical variation
Stochastic OT fails discrete model metrical variation
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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...