This study uses self-organizing feature maps to model the acquisition of lexical and grammatical aspect. Previous research has identified a strong association between lexical aspect and grammatical aspect in child language, on the basis of which some researchers proposed innate semantic categories (Bickerton, 1984) or prelinguistic semantic space (Slobin, 1985). Our simulations indicate that th...

in today's dynamic and uncertain environment, knowledge is a strategic source for organizations to gain the competitive advantage and innovation. in this research, we have investigated mediating role of knowledge management between environmental uncertainty and organizational innovation. data was collected through questionnaire from 89 large and medium sized manufacturing companies in suburb ma...

The notion of a “thematic role” has been an important one in linguistic theories concerning the syntax/semantics interface (Fillmore, 1968), but their effects on high-level cognition remain relatively unexplored. Thematic roles,like AGENT and PATIENT, are said to be linked with specific grammatical positions like that of “subject” and “direct object”. Here we ask if the link between grammatical...

One longstanding impediment to progress in understanding the neural basis of language is the development of model systems that retain language-relevant cognitive behaviors yet permit invasive cellular neuroscience methods. Recent experiments in songbirds suggest that this group may be developed into a powerful animal model, particularly for components of grammatical processing. It remains unkno...

European starlings have the ability to learn to classify complex grammatical patterns that follow a context-free grammar (CFG) composed of song motifs (Gentner, et al., 2006). Cotton-top tamarins cannot classify CFG patterns, when exposed to patterns composed of human speech (Fitch & Hauser, 2004). Beyond differences in species-specific cognitive ability, methodological differences might accoun...

The robustness of probabilistic parsing generally comes at the expense of grammaticality judgment – the grammaticality of the most probable output parse remaining unknown. Parsers, such as the Stanford or the Reranking ones, can not discriminate between grammatical and ungrammatical probable parses, whether their surface realisations are themselves grammatical or not. In this paper we show that...

We report the case of a brain-damaged subject R.C. who is more impaired at producing grammatical forms of words and pseudo-words used as verbs (he judges, he wugs) than of the same words used as nouns (the judges, the wugs). This pattern of performance constitutes the first clear demonstration that grammatical knowledge about verbs can be selectively impaired following brain damage. A compariso...

Automatic generation of models from a set of positive and negative samples and a-priori knowledge (if available) is a crucial issue for pattern recognition applications. Grammatical inference can play an important role in this issue since it is one of the methodologies that can be used to generate the set of model classes, where each class consists on the rules to generate the models. In this p...

Language learners must place unfamiliar words into categories, often with few explicit indicators about when and how that word can be used grammatically. Reeder, Newport, and Aslin (2013) showed that college students can learn grammatical form classes from an artificial language by relying solely on distributional information (i.e., contextual cues in the input). Here, 2 experiments revealed th...

There has been an increased interest in data generation approaches to grammatical error correction (GEC) using pseudo data. However, these suffer from several issues that make them inconvenient for real-world deployment including a demand large amounts of training On the other hand, some errors based on rules may not necessarily require amount if GEC models can realize generalization. This stud...