This article reports on a pilot study into how corpus methods can be applied to the study of one type of phraseological unit, formulae, in native speaker and learner speech. Formulae, or formulaic expressions, are multi-word units performing a pragmatic and/or discourse-structuring function and have been characterised as being typically native-like. The methodology presented here is contrastive and involves the use of computerised corpora of both native and non-native speaker speech. It consists of two steps: (1) the automatic extraction of all recurrent word combinations to produce lists of potential formulae, and (2) a carefully specified manual filtering process designed to reduce these lists to lists of actual formulaic usage. The results of this process allow for the first genuine quantitative comparison of formulae in the speech of native and non-native speakers, which in turn has significant implications for SLA research. This paper focuses on methodology and does not present a full discussion of the results. However, selected example findings are presented to support the approach adopted.

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Press releases represent a hybrid business genre, which combines an informational and a promotional communicative purpose. The objective of the study is to assess the extent to which this duality is reflected in the language used, and more particularly in the expression of stance, by comparing corporate press releases with another business genre that is essentially informational, namely business news reporting. The focus is on lexical bundles, as they have been found to be a major conveyor of attitudinal and epistemic stance. Relying on the pattern-matching approach to language, 3-word lexical bundles are extracted from a 1-million-word corpus of press releases (BeRel) and set against those found in a similar-sized corpus of business news (BeNews). An examination of the key bundles (keyword analysis) in each corpus reveals that the bundles that are distinctive to press releases differ significantly from those found in BeNews, particularly in the expression of modal, evaluative and personal stance.

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