Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
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 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. 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. Word categories ● Noun ● Verb ● Participle ● Article ● Pronoun ● Preposition ● Adverb ● Conjunction undue undue mental undue mental valid undue mental prison valid undue mental prison equitable valid silly silly bagel silly eggs bagel silly eggs bagel Mary silly eggs crazy bagel Mary silly eggs crazy bagel Mary scarf silly eggs crazy slide-rule bagel Mary scarf silly eggs crazy slide-rule bagel Mary scarf Hyde Park silly eggs crazy slide-rule bagel Mary scarf Hyde Park bookcases silly eggs crazy slide-rule bagel Mary scarf Hyde Park cool bookcases silly eggs crazy bagel Mary scarf Hyde Park cool stomach slide-rule bookcases silly eggs crazy bagel Mary scarf Hyde Park cool stomach M slide-rule bookcases silly eggs crazy bagel Mary scarf Hyde Park cool stomach M slide-rule bookcases Barack silly eggs crazy bagel Mary scarf Hyde Park cool stomach M cables slide-rule bookcases Barack Rheummate-ly Rheummate-ly jump Rheummate-ly sneakers jump Rheummate-ly sneakers Mitt Romney jump Rheummate-ly sneakers Mitt Romney Kenwood jump Rheummate-ly sneakers Mitt Romney Kenwood Igbo jump Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap differentiate Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap differentiate pogosticks Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap differentiate GoogleMine pogosticks Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap differentiate GoogleMine Rheummate-ly pogosticks Rheummate-ly sneakers jump Mitt Romney Kenwood Igbo Soap differentiate GoogleMine Rheummate-ly crowd-licking pogosticks Rheummate-ly jump Mitt Romney sneakers Kenwood Igbo Soap differentiate GoogleMine Rheummate-ly crowd-licking pogosticks taxi business Rheummate-ly jump Mitt Romney sneakers Kenwood Igbo Soap differentiate GoogleMine Rheummate-ly crowd-licking thinkify pogosticks taxi business Empirically, not so obvious: 'the' versus 'a' Left of in to on and for at with that from by is as into was : all In the Right 9629 5567 3433 2315 2143 1766 1511 1481 1392 1352 1315 793 698 673 531 466 424 412 same f rst other most United world *j time two new way only end last next state whole old a Left 601 547 388 380 367 338 264 243 232 231 226 207 204 202 185 182 178 171 of in as with is was for to and on by be at have had like from such Right 1467 1321 914 879 872 783 740 655 615 476 413 318 256 256 246 242 229 222 few little man new good small great very long number large year single moment lot more time matter 344 292 253 248 221 161 153 138 135 117 110 99 99 86 86 84 79 79 masculine singular nouns feminine singular nouns xiisiecle cities simple past verbs infinitives years prenominal modifiers plural nouns French English 33 Dynamic view: English color codes Verbs: ‘bare’ verb (jump) Verbs: past tense(jumped, bought) Verbs: auxiliary (should, can) Prepositions (from, to, up, down Adjectives Cities Nouns 35 red blue green aqua purple gray pink 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 36 Finding regular and irregular past tense forms founded formed discovered named carried established assumed considered initiated called influenced placed caused joined created adopted supported forced brought provided ordered 37 played achieved 38 39