Lexical Bundles in Native and Non-native Scientific Writing
Applying a corpus-based study to language teaching
Bibliographic Data
| ID | 2707696 |
|---|---|
| Authors | Danica Salazar (University of Oxford, corresponding author) |
| Year | 2014 |
| Pages | 212 |
| Publication date | 2014-11-26 |
| Open Access | No |
| Type | BOOK |
| Venue | Lexical bundles in native and non-native scientific writing (SOURCE_BOOK) |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/scl.65 |
| OpenAlex | W4211102563 |
| Open Library | OL31028281M |
| ISBN | 9789027203731 |
| Language | EN |
| Citations received | 30 |
| References cited | 286 |
This book presents an investigation of lexical bundles in native and non-native scientific writing in English, whose aim is to produce a frequency-derived, statistically- and qualitatively-refined list of the most pedagogically useful lexical bundles in scientific prose: one that can be sorted and filtered by frequency, key word, structure and function, and includes contextual information such as variations, authentic examples and usage notes. The first part of the volumediscusses the creation of this list based on a multimillion-word corpus of biomedical research writing and reveals the structure and functions of lexical bundles and their role in effective scientific communication. A comparative analysis of a non-native corpus highlights non-native scientists' difficulties in employing lexical bundles. The second part of the volume explores pedagogical applications and provides a series of teaching activities that illustrate how EAP teachers or materials designers can use the list of lexical bundles in their practice
Biology · Function (biology · Key (lock · Lexical item · Linguistics · Natural language processing · Word (group theory · Computer Science · Discourse Analysis in Language Studies · Second Language Acquisition and Learning · Translation Studies and Practices · Academic writing · Applied linguistics · Generative grammar · Grammar, comparative and general, syntax · Lexical-functional grammar · Phraseology · Second language acquisition · Study and teaching · Technical writing · Artificial Intelligence
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| Unique citing works | 30 |
|---|---|
| Citations per year | 2,73 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 30 |