This paper presents firstly a set of seven principles that lie behind the development of a vocabulary learning resource destined for French learners of English in higher education, and secondly an experiment investigating the use of narrative as a device to facilitate recall of target words. The seven principles can be combined in different ways, and it is suggested that all merit careful consi...

Searching specialized collections, such as biomedical literature, typically requires intimate knowledge of a specialized terminology. Hence, it can be a disappointing experience: not knowing the right terms to use and being unaware of synonyms or variations in terminology might result in low recall scores. We study the role of a thesaurus in the biomedical information retrieval process. We star...

The IR society has made efforts in free-term indexing for a long time. By contrast, few efforts are made in controlled-vocabulary indexing. A new model for controlled-vocabulary indexing is proposed in this paper. This proposed model, TF×OSDF×CSIDF, distinguishes subjectspecific words from common words and domain-specific words in documents. 60,400 MEDLINE records are used as training data and ...

A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We present a fully automated process for creating an enterprise vocabulary, by extracting terms from a domain-specific corpus, and extracting their types from LOD (Linked Open Data). We applied this process to create a vocabulary for the IT industry, usin...

In this paper we build on our methodology for combining and selecting alignment techniques for vocabularies, with two alignment case studies of large vocabularies in two languages. Firstly, we analyze the vocabularies and based on that analysis choose our alignment techniques. Secondly, we test our hypothesis based on earlier work that first generating alignments using simple lexical alignment ...

The Spanish writing system has consistent grapheme-to-phoneme correspondences (GPC), rendering it more transparent than English. We compared first-language (L1) orthographic transparency on how monolingual Englishand Spanish-readers learned a novel writing system with a 1:1 (LT) and a 1:2 (LO) GPC. Our dependent variables were learning time, decoding, and vocabulary. We found a main effect for ...

In this paper we describe a method of classifying facts (information) into categories or levels; where each level signifies a different degree of difficulty of extracting the fact from a piece of text containing it. Based on this classification mechanism, we propose a method of evaluating a domain by assigning to it a "domain number'' based on the levels of a set of standard facts present in th...

Text Retrieval systems based on ranking use similarity as an approximation to relevance. Most of these systems ignore word meaning. We assume that some measure of paraphrase would be a better similarity measure. We develop a concept of paraphrase based on Meaning-Text Theory and implement an approximation to the ideal using the Longman Dictionary of Contemporary English (LDOCE). The performance...

Biomedical vocabularies have specific characteristics that make their lexical alignment challenging. We have built a string-based vocabulary alignment tool, AnAGram, dedicated to efficiently compare terms in the biomedical domain, and evaluate this tool’s results against an algorithm based on Jaro-Winkler’s edit-distance. AnAGram is modular, enabling us to evaluate the precision and recall of d...