Some nouns can be counted—we term these countable; other nouns cannot—we term these uncountable. By and large this distinction makes sense in terms of how we humans view the real world. Thus, for example, horses are countable, while flour is obviously not. Such cases are generally not a problem. However, there are entities that are, from a human perspective, on the borderline, which do cause pr...

We examine the capacity of Web and corpus frequency methods to predict preferred count classifiers for nouns in Malay. The observed F-score for the Web model of 0.671 considerably outperformed corpus-based frequency and machine learning models. We expect that this is a fruitful extension for Web–as–corpus approaches to lexicons in languages other than English, but further research is required i...

Measure words in Chinese are used to indicate the count of nouns. Conventional statistical machine translation (SMT) systems do not perform well on measure word generation due to data sparseness and the potential long distance dependency between measure words and their corresponding head words. In this paper, we propose a statistical model to generate appropriate measure words of nouns for an E...

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to da...

In numerous languages determiner forms depend not only on semantic information but also on several other kinds of information, such as the grammatical gender of the controlling noun or the phonological properties of the context. In the present research we contrasted two possible accounts of determiner retrieval: one in which every type of required information is bundled into a unitized represen...

In previous work, preschool-aged children have revealed a specific expectation that novel count nouns (but not adjectives) will refer to object categories (but not to object properties or to thematic relations). However, in these tasks, children have been permitted to extend a novel word immediately after it has been introduced. The current experiments test the hypothesis that the noun-category...

In 6 experiments, 144 toddlers were tested in groups ranging in mean age from 20 to 37 months. In all experiments, children learned a novel label for a doll or a stuffed animal. The label was modeled syntactically as either a count noun (e.g., "This is a ZAV") or a proper name (e.g., "This is ZAV"). The object was then moved to a new location in front of the child, and a second identical-lookin...

While many investigations of number in linguistic and conceptual development have focused attention on how and when number words are acquired (Carey, 2004; Fuson, 1988; Gelman & Gallistel, 1978; Wynn, 1990, 1992; inter alia), and, to a lesser extent, what children have to learn about the interaction of number words with other elements in the syntax and semantics (cf. Musolino, 2004, 2009), the ...

In this paper, we investigate the differences between prediction-based (word2vec), dense countbased (GloVe) and sparse count-based (JoBimText) semantic models. We evaluate the models, which were selected because they can all be computed efficiently on large data, based on word similarity tasks and a semantic ranking task both for verbs and nouns. We demonstrate that prediction-based models yiel...