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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 ...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
A Joint Model to Identify and Align Bilingual Named Entities     Named Entities  bilingual       font style='font-size:12px;'> 2015/9/11
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       font style='font-size:12px;'> 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...
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...
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       font style='font-size:12px;'> 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...

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