The present article is a corpus-based descriptive/comparative study of lexical bundles (LBs) in two university genres: textbooks (TBs) and research articles (RAs) on applied linguistics. It aims to identify the LBs used genres, compare them basis their functional type frequency explore how they are related genre. To this end, four-word were identified corpora drawn from linguistics TBs RAs. com...

Complex word identification (CWI) is an important task in text accessibility. However, due to the scarcity of CWI datasets, previous studies have only addressed this problem on Wikipedia sentences and have solely taken into account the needs of non-native English speakers. We collect a new CWI dataset (CWIG3G2) covering three text genres (NEWS, WIKINEWS, and WIKIPEDIA) annotated by both native ...

In this chapter, we discuss different options for using genre-related information in Web search. We conduct an experiment on merging genre-related and text-relevance rankings using a reference Web collection. A method for automatic extraction of formality score akin to readability score using canonical discriminant analysis applied to a sample of genres with decreasing formality is proposed. Ef...

this study was motivated by three factors, which also contribute to its significance for today’s academic writing. first, research articles are the significant means of communication between the writers all over the world. second, persuasion and organization are crucial notions in academic writing where the authors have to consider the academic audiences and their needs.  third, some writers ar...

The aim of the current study was to investigate frequencies of interactional metadiscourse markers in English academic research and popular science articles in nutrition. A total of 60 English articles published in three popular databases and four academic journals were analyzed for interactional metadiscourse markers, including hedges, boosters, attitude markers, engagement markers and self-me...

Detecting academic plagiarism is a pressing problem, e.g., for educational and research institutions, funding agencies, and academic publishers. Existing plagiarism detection systems reliably identify (nearly) copied text, but o‰en fail to detect disguised forms of academic plagiarism, such as paraphrases, translations, and idea plagiarism. We present Semantic Concept PaŠern Analysis an approac...

We describe an ongoing effort to collect and annotate very large corpora of user-contributed content in multiple languages for the DARPA BOLT program, which has among its goals the development of genre-independent machine translation and information retrieval systems. Initial work includes collection of several hundred million words of online discussion forum threads in English, Chinese and Egy...