this article attempts to see, through the structural significances of poetic language, the nature of the split between linguistic description and literary interpretation. rhythm is the most prominent means of relating form to content in poetic language. the first account of this prominence is seen through identifying its position in the two prosodic forms of metrical and non-metrical poetry. fo...

The next generation of text-to-speech systems will have to be more sensitive to sociolinguistic 'style' variables. In order to assist in the adaptation of synthesis to a wider range of contexts, this article examines several sociolinguistic parameters which have been shown to influence the realization of negatives in actual discourse, analyzing their effects on the realization of negatives in E...

No 1-2, vol IX, May 2008 in the area of Natural Language Processing, with an emphasis on those related to small languages like Serbian. Theory and practice of searching and retrieval of text and bibliographic information were introduced with a special prominence placed on question answering issues. In addition, current and most successful approaches to the problem of identifying the answers to ...

This paper presents our system for the “Making Sense of Microposts 2014 (#Microposts2014)” challenge. Our system is based on AIDA, an existing system that links entity mentions in natural language text to their corresponding canonical entities in a knowledge base (KB). AIDA collectively exploits the prominence of entities, contextual similarities, and coherence to effectively disambiguate entit...

there are two common ways to assign relative importance in spoken language: tonic prominence and thematization. the former is expressing the main points of information units in speech (halliday, 1994), and the latter is putting an element at the beginning of a clause. this study explores how relative importance is realized in english and persian. it also investigates how advanced persian learne...

The aim of text classification is to classify the text documents into a set of pre-defined categories. But the complexity of natural languages, high dimensional feature space and low quality of feature selection become the main problem for text classification process. Hence, in order strengthen the classification technique, selection of important features, and consequently removing the unimport...