Funding for MA programmes is highly competitive. Faculty of Arts and Social Sciences, Lancaster University offers the following Funding options.
The bursaries are open to outstanding UK and non-UK (International) applicants. The holders of the bursaries will receive corpus linguistic training as part of the standard MA programme in Corpus linguistics (Distance); in the second year of their studies, the holders will carry out dissertation research on one of the two topics below.
All applicants must already hold an offer of a place to study in the Corpus Linguistics (Distance) MA programme and should be due to commence their studies during the 2021/2022 academic year.
The applicants will be notified about the outcome by 31 May 2021.
The applicants will choose between the following two dissertation topics.
- Disagreement strategies in spoken L2 EnglishThe study will use the Trinity Lancaster Corpus to investigate the expression of disagreement, a challenging pragmatic feature in spoken production of L2 users. The study will involve annotating (coding) a part of the corpus for different expressions of disagreement using both automatic and manual techniques. It will then analyse the linguistic features involved in disagreement strategies of L2 speakers of different levels of proficiency and from different linguistic backgrounds. The findings of the study will contribute to our understanding of second language pragmatic ability as well as to the assessment of communicative strategies in language testing. The Trinity Lancaster Corpus is the largest spoken learner corpus of its kind. The full description of the corpus is available from the following link: The Trinity Lancaster Corpus Development, description and application. The skills and theoretical knowledge required to carry out this study will be taught as part of the programme.
- Measuring and visualizing phraseological development in spoken L2 EnglishFormulaic language is a key component of language acquisition and use. The study will address the development of formulaic language in L2 spoken English using the Trinity Lancaster Corpus; in particular, the study will focus on collocations and collocation networks (Brezina et al., 2015). As part of the study, you will evaluate the effectiveness of different association measures (statistical measures for identifying collocations) for distinguishing collocational knowledge at different levels of L2 proficiency. The study will use a software package for corpus analysis called #LancsBox and the GraphColl tool, which is part of #LancsBox, to analyse the collocations in the Trinity Lancaster Corpus. The Trinity Lancaster Corpus is the largest spoken learner corpus of its kind. The full description of the corpus is available from the following link:The Trinity Lancaster Corpus Development, description and application The skills and theoretical knowledge required to carry out this study will be taught as part of the programme.