This paper unearths the contribution of lexical cohesion to the textuality and overall meaning of Malcolm X’s speech 'The Ballot or the Bullet'. Drawing on Halliday and Hasan’s (1976) and Hoey’s (1991) theory of cohesion, specifically lexical   cohesion, whose main thrust is the role of lexical items in not only contributing to meaning but also serving as cohesive ties, the paper discusses how ...

Traditional Authorship Attribution models extract normalized counts of lexical elements such as nouns, common words and punctuation and use these normalized counts or ratios as features for author fingerprinting. The text is viewed as a “bag-of-words” and the order of words and their position relative to other words is largely ignored. We propose a new method of feature extraction which quantif...

This paper addresses the problem of automatic evaluation of text simplification systems for Spanish. We test whether already-existing readability formulae would be suitable for this task. We adapt three existing readability indices (two measuring lexical complexity and one measuring syntactic complexity) to be computed automatically, which are then applied to a corpus of original news texts and...

In the context of language processing, the N280 is an anterior negative event-related potential profile associated with the lexical categorization of grammatical function words versus content words. Subsequent studies suggested that this effect was related to word statistics including length and frequency in the lexicon. The current research tests the hypothesis that the N280 effect is related ...

Text simplification is the process of reducing the lexical and syntactic complexity of a text while attempting to preserve (most of) its information content. It has recently emerged as an important research area, which holds promise for enhancing the text readability for the benefit of a broader audience as well as for increasing the performance of other applications. Our work focuses on syntac...

Philosophers and linguists have claimed that verb meanings are divided into semantic types or superordinate categories that differ in internal conceptual structure. In particular, eventive verbs, which have internal causal structure are distinguished from stative verbs, which have no internal causal structure. In this paper, we explore the processing consequences of assuming that the lexical re...

We relate the problem of finding a correspondence between sensed and model features to that of finding a match between a random set of letters and words in a dictionary. The process is equivalent to hashing and the lexical perspective illuminates items such as design tradeoffs, computational complexity, and hashing function definition. A method for two-dimensional pose estimation based on this ...