This contrastive corpus-based study aims to analyze the similarities and differences of two synonyms "important" and "significant" concerning on the degree of formality in their distribution across genres as well as their collocations and semantic preference. The corpus data derived from the Corpus of Contemporary American…

This corpus-based study explores the expression of gratitude in the acknowledgement section of doctoral dissertations in both English and Arabic. The objective is to analyse how gratitude in academic discourse is structured in these languages and to explore any differences related to gender. The study examines 80 dissertations (40 in English and…

This study is one of the pioneers in investigating and analyzing the orthographical conventions/norms of the outer circle Asian Englishes using one of the largest databases of English corpus, the Global Web-based English (GloWbE). This study extends the analysis of the current orthographical norms of the new varieties to their colonial parents.…

Data-driven learning (DDL), or corpus-based language learning, involves the learner in an exploratory task to discover appropriate expressions or collocates regarding his writing. However, the problematic units of meaning in each learner's writing are so diverse that conventional corpora often prove futile. The search engine Google with the…

The present study is an attempt to account for current changes taking place in the behaviour of what are commonly taken to be stress-neutral endings in contemporary British English. The methodological framework being that of Lionel Guierre, this study aims for comprehensive coverage, via a survey of Guierre's original database (which was initially…