Expressing cause and effect in hard and soft scientific discourse: A corpus-based analysis

Abstract

This study is a quantitative analysis of the use of cause/effect expressions in two corpora that comprise research articles in four hard and four soft disciplines, selected to represent a broad cross-section of academic discourse. Linguistic expressions of cause/effect are hypothesised to diverge in hard and soft sciences, and the differences pertain not only to key linguistic units but also to syntactic patterns. With the ultimate goal of facilitating the production of discipline-specific materials that can effectively address the needs of learners of different sciences, this study investigates the productivity of linguistic units representative of cause/effect expressions in hard and soft scientific disciplines, as identified in the Louvain EAP Dictionary, as well as the main grammatical patterns where the former are attested. Results show that cause expressions are more common in soft sciences, while the expressions of effect are used in similar proportion in the two categories. As for lexical strategies, soft sciences tend to use more nouns to express cause/effect, while hard sciences rely on prepositions and conjunctions to a larger extent.