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Meaningful questions: The acquisition of auxiliary inversion in a connectionist model of sentence production
Language acquisition Sentence production Subject-auxiliary inversion
2017/8/28
Nativist theories have argued that language involves syntactic principles which are unlearnable from the input children receive. A paradigm case of these innate principles is the structure dependence ...
MUC (Memory, Unification,Control):A Model on the Neurobiology of Language Beyond Single Word Processing
MUC Neurobiology Language Beyond Single Word Processing
2016/5/3
Until not too long ago, the neu robiolog ical model that has dom inated our view on the neu ral archi tecture of langu age was the Wernic ke-Lichth eim-Gesch windmode l. In this cl assical mode l, the...
DIANA, AN END-TO-END COMPUTATIONAL MODEL OF HUMAN WORD COMPREHENSION
speech comprehension computational model end-to-end model weak modularity
2015/12/21
This paper presents DIANA, a new computational
model of human speech processing. It is the first
model that simulates the complete processing chain
from the on-line processing of an acoustic ...
A novel approach identifies the first transcriptome networks in bats: a new genetic model for vocal communication
Periaqueductal gray Vocal communication Glutamate signaling
2015/12/21
Bats are able to employ an astonishingly complex vocal repertoire for navigating their environment
and conveying social information. A handful of species also show evidence for vocal learning, an ext...
Analysis of prevalence and degree of macrocephaly in patients with germline PTEN mutations and of brain weight in Pten knock-in murine model
: PTEN Hamartoma Tumour syndrome Cowden syndrome
2015/12/21
PTEN Hamartoma Tumour Syndrome (PHTS) includes Cowden syndrome (CS), Bannayan-Riley-Ruvalcaba syndrome (BRRS),
and other conditions resulting from germline mutation of the PTEN tumour suppressor gene...
Reevaluating the two-representation model of numerical magnitude processing
Arabic numeral Distance effect Congruity
2015/12/18
One debate in mathematical cognition centers on
the single-representation model versus the tworepresentation model. Using an improved number Stroopadigm (i.e., systematically manipulating physical si...
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning
Concrete Models Empirical Evaluations Categorical Compositional Distributional Model
2015/9/15
Modeling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. The categorical model of Clark, Coecke, and Sadrzadeh (2008) and C...
The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation
Operation Sequence Model Combining N-Gram Phrase-Based Statistical Machine Translation
2015/9/15
In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), which combines the benefits of phrase-based and N-gram-based statistical machine translation (SMT) an...
A Random Walk–Based Model for Identifying Semantic Orientation
Random Walk–Based Model Identifying Semantic Orientation
2015/9/14
Automatically identifying the sentiment polarity of words is a very important task that has been used as the essential building block of many natural language processing systems such as text classific...
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
Multilingual Joint Parsing Syntactic Semantic Latent Variable Model
2015/9/11
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
In this article, an integrated model is derived that jointly identifies and aligns bilingual named
entities (NEs) between Chinese and English. The model is motivated by the following observatio...
A Scalable Distributed Syntactic,Semantic,and Lexical Language Model
Distributed Syntactic Semantic Lexical
2015/9/10
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
A Flexible,Corpus-Driven Model of Regular and Inverse Selectional Preferences
Flexible Corpus-Driven Model Regular Inverse Selectional Preferences
2015/9/8
We present a vector space–based model for selectional preferences that predicts plausibility scores for argument headwords. It does not require any lexical resources (such as WordNet). It can be train...
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Word Sense Disambiguation Noisy Channel Model
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 Twin-Candidate Model for Learning-Based Anaphora Resolution
Computing language Twin-Candidate
2015/9/6
The traditional single-candidate learning model for anaphora resolution considers the antecedent
candidates of an anaphor in isolation, and thus cannot effectively capture the preference relationship...