Compiling an OPEC Word List: A Corpus-Informed Lexical Analysis

A Corpus-driven Food Science and Technology Academic Word List

The overarching goal of this study was to create a list of the most frequently occurring academic words in Food Science and Technology (FST). To this end, a 4,652,444-word corpus called Food Science and Technology Research Articles (FSTRA), which included 1,421 research articles (RAs) randomly selected from 38 journals across five sub-disciplines in FST, was developed. Frequency and range-based...

Developing a Corpus-Based Word List in Pharmacy Research ‎Articles: A Focus on Academic Culture

The present corpus-based lexical study reports the development of a Pharmacy Academic Word List (PAWL); a list of the most frequent words from a corpus of 3,458,445 tokens made up of 800 most recent pharmacy texts including research articles, review articles, and short communications in four sub-disciplines of pharmacy. WordSmith (Scott, 2017) and AntWordProfiler (Anthony, 2014) were used to sc...

Corpus-driven Lexical Analysis: Norms and Exploitations in Word Use

It is a truism that meaning depends on context. Corpus evidence now shows us that normal contexts can be summarised and indeed quantified, while the creative exploitations of normal contexts by ordinary language users far exceed anything dreamed up in speculative linguistic theory. Human linguistic behaviour is indeed rule-governed, but in recent years, corpus analysis (e.g. Hanks 2013) has sho...

Predicting Lexical Norms Using a Word Association Corpus

Obtaining norm scores for subjective properties of words can be quite cumbersome as it requires a considerable investment proportional to the size of the word set. We present a method to predict norm scores for large word sets from a word association corpus. We use similarities between word pairs, derived from this corpus, to construct a semantic space. Starting from norm scores for a subset of...

Compiling a Task-Based Corpus