BACKGROUND For word production, we may consciously pursue semantic or phonological search strategies, but it is uncertain whether we can retrieve the different aspects of lexical information independently from each other. We therefore studied the spread of semantic information into words produced under exclusively phonemic task demands. METHODS 42 subjects participated in a letter verbal flue...

This paper presents a novel sentence clustering scheme based on projecting sentences over term clusters. The scheme incorporates external knowledge to overcome lexical variability and small corpus size, and outperforms common sentence clustering methods on two reallife industrial datasets.

the present study aims at investigating the effect of different levels of lexical collocational density on efl learners’ reading comprehension. eighty sophomore students with different levels of proficiency studying at  zand institute of higher education in shiraz, iran were chosen from among eighty five learners based on their score distribution on a reduced toefl test constructed by education...

This thesis proposes a category suggestion model for an e-commerce search engine to get an insight on the intent of the visitors. The dataset is provided by the Dutch e-commerce website Bol.com and consists of visitors queries and their subsequent clicks on items. The first part of the model is clustering the dataset to decrease the complexity and find previously unseen similarities between que...

Lexical bundles are known as important elements of coherent discourse that have been the subject of much research. While the previous research has been mainly concerned with exploring variations in the use of these word sequences across different registers and disciplines, very few studies have addressed the use of some particular groups of lexical bundles within some types of academic writing....

We describe a system, UNN-WePS for identifying individuals from web pages using data from Semeval Task 13. Our system is based on using co-presence of person names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget’s thesaurus. Finally, a single link hierarchical agglomerative clustering algori...

Phonotactic well-formedness has an effect on speech processing. This is likely due to an independent sub-lexical representation of phonotactics. Researching that knowledge requires isolating it from indirect effects. A prominent indirect effect comes via lexical neighbourhood. The better phonotactically a word is, the more neighbours it has, the harder it is to recognise it. The present study e...

Visual word identification requires readers to code the identity and order of the letters in a word and match this code against previously learned codes. Current models of this lexical matching process posit context-specific letter codes in which letter representations are tied to either specific serial positions or specific local contexts (e.g., letter clusters). The spatial coding model descr...

Abstract. Unsupervised organization of a set of lexical concepts that captures common-sense knowledge inducting meaningful partitioning of data is described. Projection of data on principal components allow for identification of clusters with wide margins, and the procedure is recursively repeated within each cluster. Application of this idea to a simple dataset describing animals created hiera...