This study examined the extent to which glossaries may affect the percentage of known words (coverage) in television programs. The transcripts of 51 episodes of 2 television programs (House and Grey’s Anatomy) were analyzed using Range (Heatley, Nation, & Coxhead, 2002) to create glossaries consisting of the low-frequency (less frequent than the 3,000 word level) word families that were encount...

Abstract Vocabulary knowledge is one of the most important elements reading comprehension. Text coverage proportion known words in a given text. We hypothesize that text comprehension increases exponentially with due to network effects and activation prior knowledge. In addition, lexical threshold hypothesis states faster above certain amount coverage. The exponential relationship between compr...

Lexical profiling studies are concerned with the lexical breadth required to achieve 95% and 98% coverage of various kinds verbal or textual materials (Webb, 2021). While prior research has concentrated on load EFL textbooks (Nguyen, 2020; Sun & Dang, 2020), scarce examined demands local proficiency tests. This study investigated profile Moroccan national reading exams in relation Nation’s ...

We propose a generic rule induction framework that is informed by syntax from both sides of a parsed parallel corpus, as sets of structural, boundary and labeling related constraints. Factoring syntax in this manner empowers our framework to work with independent annotations coming from multiple resources and not necessarily a single syntactic structure. We then explore the issue of lexical cov...

We investigate the problem of finding informative superordinates in a broad-coverage taxonomy of nominal concepts. We present results from a study which shows that speakers often exhibit strong preferences on what superordinate is more informative, together with a solid bias for specific classes. We then define the task of identifying the properties that characterize such concepts in the taxono...

Lexical chains have been successfully used in several previous applications, e.g. topic segmentation and summarization. In this paper, we address the problem of how to directly evaluate the quality of lexical chains, in comparison to a human gold standard. This is in contrast to previous work, where the formal evaluation either relied on a word sense disambiguation task or concentrated on the f...

The WordNet lexical database is now quite large and offers broad coverage of general lexical relations in English. As is evident in this volume, WordNet has been employed as a resource for many applications in natural language processing (NLP) and information retrieval (IR). However, many potentially useful lexical relations are currently missing from WordNet. Some of these relations, while use...

This Master's Thesis concerns research in the automatic analysis of the sub-lexical structure of English words. Sub-lexical structure includes linguistic categories such as syllabification, stress, phonemic representation, phonetics, and spelling. This information could be very useful in all sorts of speech applications, including duration modeling and speech recognition. ANGIE is a system that...

This paper presents a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries, hand t...