Words of a feather flock together John Goldsmith (Linguistics and - - PowerPoint PPT Presentation

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Words of a feather flock together John Goldsmith (Linguistics and - - PowerPoint PPT Presentation

Words of a feather flock together John Goldsmith (Linguistics and Computer Science) Work done with: Jackson Lee (Linguistics) Simon Jacobs (RCC) Stephen Fitz (Computer Science) Looking at texts: documents Texts contain a great deal of


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Words of a feather flock together

John Goldsmith (Linguistics and Computer Science)

Work done with:

Jackson Lee (Linguistics) Simon Jacobs (RCC) Stephen Fitz (Computer Science)

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Looking at texts: documents

  • Texts contain a great deal of structure.
  • That structure can be divided into:

– Structure of the content; – Structure of the language.

  • Look at a series of books in French: what they share

in common is the structure of French.

  • Look at a series of translations of Harry Potter and

the Sorcerer's Stone: what they share in common is the structure of the content.

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We care about the structure of the language (today)

  • Structure of a language includes a lexicon: the

words of the language.

  • The order in which words appear is largely

determined by the syntax of the language.

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Word categories

  • Noun
  • Verb
  • Participle
  • Article
  • Pronoun
  • Preposition
  • Adverb
  • Conjunction
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undue

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undue mental

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undue mental valid

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undue mental prison valid

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undue mental prison valid

equitable

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silly

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silly

bagel

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silly

bagel

eggs

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silly

bagel

eggs Mary

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silly

bagel

eggs Mary crazy

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silly

bagel

eggs Mary crazy scarf

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silly

bagel

eggs Mary crazy scarf

slide-rule

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silly

bagel

eggs Mary crazy scarf

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Hyde Park

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silly

bagel

eggs Mary crazy scarf

slide-rule

Hyde Park

bookcases

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silly

bagel

eggs Mary crazy scarf

slide-rule

Hyde Park

bookcases

cool

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silly

bagel

eggs Mary crazy scarf

slide-rule

Hyde Park

bookcases

cool stomach

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silly

bagel

eggs Mary crazy scarf

slide-rule

Hyde Park

bookcases

cool stomach M

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silly

bagel

eggs Mary crazy scarf

slide-rule

Hyde Park

bookcases

cool stomach M Barack

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silly

bagel

eggs Mary crazy scarf

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Hyde Park

bookcases

cool stomach M Barack cables

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Rheummate-ly

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Rheummate-ly

jump

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Rheummate-ly

jump

sneakers

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Rheummate-ly

jump

sneakers

Mitt Romney

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo

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SLIDE 33

Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

GoogleMine

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

GoogleMine

Rheummate-ly

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

GoogleMine

Rheummate-ly crowd-licking

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

GoogleMine

Rheummate-ly crowd-licking

taxi business

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Rheummate-ly

jump

sneakers

Mitt Romney

Kenwood

Igbo Soap

differentiate

pogosticks

GoogleMine

Rheummate-ly crowd-licking

taxi business

thinkify

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Empirically, not so obvious: 'the' versus 'a'

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the Left Right

  • f

9629 same 601 in 5567 f rst 547 to 3433

  • ther

388

  • n

2315 most 380 and 2143 United 367 for 1766 world 338 at 1511 *j 264 with 1481 time 243 that 1392 two 232 from 1352 new 231 by 1315 way 226 is 793

  • nly

207 as 698 end 204 into 673 last 202 was 531 next 185 : 466 state 182 all 424 whole 178 In 412

  • ld

171 a Left Right

  • f

1467 few 344 in 1321 little 292 as 914 man 253 with 879 new 248 is 872 good 221 was 783 small 161 for 740 great 153 to 655 very 138 and 615 long 135

  • n

476 number 117 by 413 large 110 be 318 year 99 at 256 single 99 have 256 moment 86 had 246 lot 86 like 242 more 84 from 229 time 79 such 222 matter 79

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masculine singular nouns xiisiecle simple past verbs years prenominal modifiers plural nouns cities infinitives feminine singular nouns

French English

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Dynamic view: English color codes Verbs: ‘bare’ verb (jump) red Verbs: past tense(jumped, bought) blue Verbs: auxiliary (should, can) green Prepositions (from, to, up, down aqua Adjectives purple Cities gray Nouns pink

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Dynamic view: French color codes Infinitives red Prepositions light blue Past participles blue Adjectives purple Cities gray Masculine nouns pink Feminine nouns light green Inflected verbs light gray

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Finding regular and irregular past tense forms

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forced named

  • rdered

played caused supported discovered established placed assumed achieved adopted initiated provided formed brought carried founded created considered joined influenced

called

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