Giving corrective feedback (CF) is an essential part of the teaching and learning process, and the way it should beneficially be done has been the focus of attention for numerous researchers especially when traditional ways of CF provision are not possible, particularly in rare situations such as outbreaks of diseases. This study investigated how different ways of giving feedback; namely, throu...

Either word sense classification or word sense clustering can not avoid this problem: what features people can get from word meaning that can be used as the tools employed for producing word sense ontology. In this paper, we present a lexical semantic-syntactic model to define and subcategorize a noun class—attribute noun class, by acquiring syntactic behavior and semantic restrictions from cor...

A series of multiple regression analyses was conducted on a corpus of eye movement data to examine whether the influence of properties of words n-1 and n+1 on the time spent fixating word n changes as a function of whether word n is associated with a punctuation mark (i.e., whether or not a punctuation mark separates word n from either word n-1 or word n+1). The results suggest that distributed...

This paper presents different methods using a weighted mixture of word and word-class language models in order to perform language model adaptation. A general language model is built from the whole training corpus, then several numbers of clusters are created according to a word co-occurrence measure and finally, word models as well as word-class models are built from each cluster. The general ...

Ambiguous and unknown words are found in every language. Ambiguous words are the words having different meaning in different sentences depending upon the context of the sentence. Assigning the correct word class to these ambiguous words is the fundamental task in almost all the NLP applications. A lot of work has been done on this and a lot of work is still to be done. Many statistical and rule...