In this article, we propose the use of partitioning and clustering methods as an alternative to Gaussian quadrature for stochastic collocation (SC). The key idea is to use cluster centers as the nodes for collocation. In this way, we can extend the use of collocation methods to uncertainty propagation with multivariate, correlated input. The approach is particularly useful in situations where t...

The appropriate use of collocations is a challenge for second language acquisition. However, high quality and easily accessible Chinese collocation resources are not available for both teachers and students. This paper presents the design and construction of a large scale resource of Chinese collocational knowledge, and a web-based application (OCCA, Online Chinese Collocation Assistant) which ...

The selection of features is critical in providing discriminative information for classifiers in Word Sense Disambiguation (WSD). Uninformative features will degrade the performance of classifiers. Based on the strong evidence that an ambiguous word expresses a unique sense in a given collocation, this paper reports our experiments on automatic WSD using collocation as local features based on t...

A long-standing open question associated with the use of collocation methods for boundary value ordinary differential equations is concerned with the development of a high order continuous solution approximation to augment the high order discrete solution approximation, obtained at the mesh points which subdivide the problem interval. It is well known that the use of collocation at Gauss points...

In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Philosophy-Dissertation). In this paper, Term Extraction is formalized as a supervised learning task, extracting a ranking hypothesis from a set of terms labeled as relevant/irrelevant by the expert. This task is tackled using the ...

1 We report experience in applying techniques for natural language processing to algorithmically generating test items for both reading and listening cloze items. We propose a word sense disambiguationbased method for locating sentences in which designated words carry specific senses, and apply a collocation-based method for selecting distractors that are necessary for multiple-choice cloze ite...

The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest ...

A probabilistic lattice chart parser is proposed for improving the performance of a text recognition technique. Digital images of words are recognized and alternatives for the identity of each are generated. Local word collocation statistics and a probabilistic chart parsing algorithm are used to determine the top N best parses for each sentence using the alternatives provided for the identity ...

Discourse connectives (e.g. however, because) are terms that explicitly express discourse relations in a coherent text. While a list of discourse connectives is useful for both theoretical and empirical research on discourse relations, few languages currently possess such a resource. In this article, we propose a new method that exploits parallel corpora and collocation extraction techniques to...