Corpus linguistics Order Messages Revision Instructions (0) « Back to list

The portfolio consists of 4 tasks. The order of the tasks reflects the order of lectures. Each task should include examples of the outputs from your corpus searches, preferably in tables. This data does not count towards the specified word limit.

You should use this website:
http://corpus.byu.edu/bnc/

  1. Portfolio

 

The portfolio consists of 4 tasks. The order of the tasks reflects the order of lectures and you should start on each task following the relevant lecture. Do not wait until the last minute. Each task should include examples of the outputs from your corpus searches, preferably in tables. This data does not count towards the specified word limit.

 

TASK 1:          It is claimed that corpus-based studies can provide much more fine-grained descriptions of word meanings and usage that are not accounted for in traditional dictionaries. Explain the benefits of corpora for language descriptions by taking as an example collocational patterns of one of the following pairs of the approximately synonymous adjectives. You can use the BNC or any other representative corpus of English. Compare your results with dictionary entries (e.g. the Oxford English Dictionary). Which meanings have not been accounted for? (max. 300 words).

 

  1. a) CONTEMPORARY vs. CURRENT
  2. b) LETHAL vs. DEADLY
  3. c) MOUNTING vs. SOARING

 

 

TASK 2:          Anna Thomson has been looking at verb frequencies in two different corpora. Corpus A contains 100,000 words and Corpus B 500,000 words. The table below presents the results. Which words have the same proportional frequency in both corpora? (max. 150 words).

  CORPUS A CORPUS B
BE
DO
HAVE
GO
GIVE
TAKE
500

80

300

60

40

20

800

400

1500

70

30

100

 

 

TASK 3:          The language UGTU is spoken on the island ULTU. UGTU has two dialects – one on the west coast and one of the east coast. Anna Thomson has collected corpora of the two dialects to look at the relative clauses. She tabulated the results and the table below presents the number of sentences with a relative pronoun and without. By using the Lancaster Log-likelihood calculator (http://ucrel.lancs.ac.uk/llwizard.html), calculate the LL value for the results and comment on their significance (max. 150 words).

 

Sentences     East Dialect        West dialect
with relative pronoun

without relative pronoun

115

28

85

45

Total number of sentences 143 130

 

 

TASK 4:          By using the press subcorpus of BNC or any press corpus of your choice, examine the 50 most frequent collocations of the personal pronouns SHE and HE as well as the possessives HIS and HER. What semantic preferences or prosodies can be detected in the corpus data? What do the collocations tell us about the gender representation in the press discourse? Summarise your results in max. 500 words)

 

 

 

 

 

NB Criteria 1-5 are more heavily weighted than 6-7.

 

Please note that

  • Assignments should be word processed, using Times New Roman 12pt.
  • Lines should be double or 1.5 spaced with the page number given on each page. Page numbers should be at the bottom of every page.
  • We expect to see AT LEAST SEVEN items on your reading list, excluding websites. You should make an attempt to refer to specific articles on the topic you have chosen and not just refer to general text books. Be selective of any websites you use. DO NOT use Wikipedia as a source of information as it can be unreliable.
  • Check your Part 2 Handbook for guidelines for correct referencing practice.
  • Divide your essay into clear sections and use headings and subheading.
  • Do not write your name or registration number on the pages of your assignment.
  • You should make sure you keep a copy of your assignment.
  • Please attach clearly labelled appendices, which should include representative extracts from your corpus and any activities designed for the assignment.
  • Reference list and appendix do not count towards the word limit. Quotes, tables and anything presented within the text does count towards word limit.

 

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