Today Writing: using the comma –Writing task Corpus linguistics talk, Part 2 Re-organize groups –Group news discussion.

Today

• Writing: using the comma– Writing task

• Corpus linguistics talk, Part 2• Re-organize groups

– Group news discussion

1.

2. He left the scene of the accident and tried to forget that it had happened.

3. Oil which is lighter than water rises to the surface.

4. Madame de Stael was an attractive gracious lady.

5. Nice is a word with many meanings and some of them are contradictory.

6. Taxicabs that are dirty are illegal in some cities.

7. The uninvited guest wore a dark blue tweed suit.

8. I hope that some day he will learn how to be polite.

8. Mark Twain's early novels I believe stand the test of time.

9. Write the editor of the Atlantic 8 Arlington Street Boston Massachusetts 02116.

10. He replied "I have no idea what you mean."

11. After a good washing and grooming the pup looked like a new dog.

12. Men who are bald are frequently the ones who are the most authoritative on the subject of baldness.

13. Hello Kitty cellphones which are very popular in Japan have not really caught on in Taiwan.

Introduction to corpus linguistics

Simon Smith & Adam Kilgarriff

Plan for today

• Short review of corpus basics• 4 ages of corpus research

– From pre-computer age, to SkE

• Functions of SkE• Demonstration of SkE in use

Quiz

• What’s a (linguistic) corpus?• What does the Latin word mean?• What are corpora?• What’s the BNC?• How big is the British National

Corpus?• What is the advantage of having a

very big corpus?• What can corpora be used for?

5 major uses for linguistic corpora

• Language learning and teaching• Theoretical research on Language and

Linguistics• Literary research and analysis• Language technology• Lexicography• (=dictionary making)

– Cobuild, Longman, … – All learner dictionaries now use corpora

How do you make a dictionary? (What sources can you use?)

• Use your own knowledge of words• Ask all your friends for their

knowledge • Consult other dictionaries

– and copy them

• Read thousands of books– and take lots of notes

• Use a corpus

Taiwan, Dec 2006

Four ages of corpus research (in lexicography)

Kilgarriff, Lexical ComputingSlide: 8

Age 1: Pre-computer Age 2: KWIC concordance (KWIC=?) Age 3: Corpus query tools

e.g. Sketch Engine

Taiwan, Dec 2006Kilgarriff, Lexical ComputingSlide: 9

Age 1:Pre-computer

First Oxford English (1860)Dictionary:• 20 million index cards

– a word (usually rare) and a citation

Taiwan, Dec 2006Kilgarriff, Lexical ComputingSlide: 10

Age 2: KWIC Concordance1 arity, which will be used to take a party of under-privileged children to D 2 from outside. You are invited to a party and after a couple of drinks you d 3 tion, we believe politicians of all parties will listen to our views. &equo 4 ould be reaching agreement with all parties concerned, as to which events, 5 lack people. I have certainly been party to one or two discussions amongst 6 . These should be discussed by both parties before entering into the relatio 7 presents They had hosted a cocktail party at Kensington palace, for example 8 akes. By midnight the end-of-course party is in full swing, but most cadet 9 e should be a right for the injured party to terminate the contract. A mana 10 by the Safran Peoples ' Liberation Party. This presents the powerful neigh 11 s. Ahead I could see the rest of my party plodding towards the final slope t 12 cial ethic. The two main political parties - the Tories and the Liberals - 13 ritish successes in Perth The small party of British players competing in th 14 to help control. One member of the party went to summon the rescue team and 15 rket society fashion magazine. The party was held at his flat which was a l 16 security and secrecy than any Tory Party Conference : it seems that bootleg

Taiwan, Dec 2006Kilgarriff, Lexical ComputingSlide: 11

Age 2 (~1980-1990): KWIC Concordances

Using computers List of lines which contain a

keyword The keyword is in the middle

Taiwan, Dec 2006Kilgarriff, Lexical ComputingSlide: 12

1 political association 4 person in an 4 person in an agreement/dispute agreement/dispute 2 social event 5 to be party to something...3 group of people

1 arity, which will be used to take a party of under-privileged children to D2 from outside. You are invited to a party and after a couple of drinks you d3 tion, we believe politicians of all parties will listen to our views. &equo4 ould be reaching agreement with all parties concerned, as to which events,5 lack people. I have certainly been party to one or two discussions amongst6 . These should be discussed by both parties before entering into the relatio7 presents They had hosted a cocktail party at Kensington palace, for example8 akes. By midnight the end-of-course party is in full swing, but most cadet9 e should be a right for the injured party to terminate the contract. A mana10 by the Safran Peoples ' Liberation Party. This presents the powerful neigh11 s. Ahead I could see the rest of my party plodding towards the final slope t12 cial ethic. The two main political parties - the Tories and the Liberals -13 ritish successes in Perth The small party of British players competing in th14 to help control. One member of the party went to summon the rescue team and15 rket society fashion magazine. The party was held at his flat which was a l16 security and secrecy than any Tory Party Conference : it seems that bootleg

The coloured pens method

Taiwan, Dec 2006Kilgarriff, Lexical ComputingSlide: 13

Age 2: limitations

as corpora get bigger:too much data

• 50 lines for a word: read all • 500 lines: could read all, takes a long

time• 5000 lines: impossible

Taiwan, Dec 2006

Why do corpora keep getting bigger? (anyone?)

• Improvements in technology– Price of storage is going down– Speed of access is going up

• Representativeness– Small corpus many examples of

common words, maybe– But not enough examples of unusual

words

Lexical distribution

• What’s the most common word in English?• What % does it make up of a whole corpus?• The 100 most common words make up __%

of all the words in a corpus?• The 7500 most common words make up __

%• Answers:

– The, 5%, 45% and 90%• So:

– you need massive corpora, if you want to really represent rare words properly

18

Limitation of KWIC analysis

• As corpora get bigger: too much data– 50 lines for a word: read all– 500 lines: could read all, takes a long time– 5000 lines: no

• Instead, look at a Word Sketch from Sketch Engine– a statistical summary of word usage– shows most common collocates

Taiwan, Dec 200619

Taiwan, Dec 200620

Taiwan, Dec 2006

Maybe stop here

Kilgarriff, Lexical ComputingSlide: 21

Functions of SkE

• KWIC concordance– Sorting, filtering etc

• Word sketch• Automatic thesaurus• Sketch difference

– discriminate near-synonyms

22

23

Lexical approach to language learning

• Lewis (1993) and Schmitt (2000) say– the vocab is stored in the brain in collocations – Bacon is stored near eggs– 蛋 is stored near 炒飯– scotch is stored with whisky

• Saying strong car or powerful tea or broken house seems very “foreign”

24

From www.teachingenglish.org - a lexical approach activity, based on a story text

News task 4 sentences

• News story must be from the current week

• Please include the date when you print it

• Make two lists of adjectives:– (+) exciting; dramatic; unusual…– (-) dull; complicated; bloodthirsty…

• Choose the best story from your group– I’m not very keen on that story because…– I prefer this story because…

Collocations and sentences

• 5 words• Use the SkE beta• Say which corpus you used• 3 collocations for each word

– State the frequency – State the salience ( 顯著性 )

• Example sentence from SkE should use one of the collocations you chose

• If you don’t understand the sentence, don’t use it!

Before this week’s reading, ask:

• How many different cuisines can you name, from around the world?

• Which cuisine do you think is the healthiest?