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Why Syntax is Impossible

Why Syntax is Impossible. Mike Dowman. Syntax. Languages have tens of thousands of words Some combinations of words make valid sentences Others don’t No one understands the grammar of any language. Syntax is Complicated!. I saw Bill with Mary yesterday.

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Why Syntax is Impossible

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  1. Why Syntax is Impossible Mike Dowman

  2. Syntax • Languages have tens of thousands of words • Some combinations of words make valid sentences • Others don’t • No one understands the grammar of any language

  3. Syntax is Complicated! I saw Bill with Mary yesterday. You saw WHO with Mary yesterday?! Who did you see with Mary yesterday?

  4. Syntax is Complicated! I saw Bill with Mary yesterday. You saw WHO with Mary yesterday?! Who did you see with Mary yesterday? I saw Bill and Mary yesterday. You saw WHO and Mary yesterday?!

  5. Syntax is Complicated! I saw Bill with Mary yesterday. You saw WHO with Mary yesterday?! Who did you see with Mary yesterday? I saw Bill and Mary yesterday. You saw WHO and Mary yesterday?! Who did you see and Mary yesterday?

  6. Generative Grammar • An explicit formal system that defines the set of valid sentences in a language • And maybe also explains what each one means • Generative grammar is the core research topic in linguistics • Includes strongly nativist theories and theories proposing that languages are primarily learned

  7. Grammar Writing • Linguists take a selection of possible sentences • And obtain grammaticality judgments for those sentences • Then they produce a grammar that accounts for all the data

  8. Grammar Coverage • Linguists’ grammars only work for selected sentences • They can’t explain most naturally occurring sentences • The more data we consider the more surprising quirks of syntax that emerge

  9. Children’s Language Acquisition • Kid’s observe a limited number of example sentences • But quickly internalize a system that correctly characterizes the whole language E-language LAD I-language

  10. How can kids do syntax when linguists can’t? • Innate component of language (provided by genes) • Learned component of language (provided by language data)

  11. How can kids do syntax when linguists can’t? • Innate component of language (provided by genes) • Learned component of language (provided by language data) • Linguists have to infer both • Children only the learned component

  12. Information Theory • Both components of language must contain some amount of information • Data available to children must provide at least enough information as is in the learned component • This puts a limit on the complexity of the learned component of language

  13. Linguists’ Task • Linguists need to have at least as much information as is in the learned and innate components together • Can use data from multiple languages to try to characterize innate components • And can use positive and negative data

  14. Correspondence to Linguistic Theories Small learned component = parameter setting Large learned component = learned languages Small innate component = general learning mechanism Large innate component = universal grammar

  15. Size of Each Component

  16. Which component is large? • As we haven’t yet managed to produce a generative grammar, at least one of innate or learned components must be large • Children learn relatively easily, so the learned component can’t be too big

  17. Size of Each Component

  18. How big could the innate component be? • Genome contains 3 billion base pairs = 6 billion bits • Cell metabolism adds more information • Each base pair can be modified • Huge amount of information!

  19. What could be in a huge innate component? • Not words forms - vary from language to language • Grammaticality patterns • Rules of syntax would be hugely complex

  20. Impossibility of Syntax • Grammaticality judgments on average can provide no more than one bit of information each • If syntax is hugely complex, there will be many grammars that are compatible with any given body of data • But all but one of these grammars would fail when tested on enough new data

  21. A Concrete Example • A multi-agent model • Each agent has: innate component learned component • Both are bit strings of fixed length • Sentences are 100 bit strings

  22. Deciding on the Grammaticality of a Sentence 1 • Treat the sentence as a binary number • Find: bi = s mod ni bl = s mod nl b is an index to a bit in the innate (bi) or learned (bl) component n is the number of bits in the innate (ni) or learned (nl) component s is the length of the sentences

  23. Deciding on the Grammaticality of a Sentence 2 • A pseudo-random function maps from the two selected bits plus the sentence to a Boolean grammaticality judgment • It’s therefore typically necessary to know every bit of the sentence and both the innate and learned bits to predict the grammaticality of the sentence  Every bit counts • Usually about half of sentences are grammatical, half ungrammatical

  24. 4 Kinds of Agent Teacher Innate: 10101000 Learned: 10010101 Related Innate: 10101000 Learned: 11110001 Unrelated Innate: 10110101 Learned:00111000 Linguist Innate: 00110100 Learned: 10001100

  25. Learning by Related, Unrelated • Observe a sentence from the teacher • Work out if it is grammatical according to current I-language • If not, invert the relevant bit of the learned component

  26. Grammar Inference by Linguists • Choose random sentences • Ask the teacher if they are grammatical • Store all sentences and grammaticality judgments • Search for a setting of innate and learned components that assigns the correct grammaticality rating to every sentence

  27. 1,000 Bit Innate and Learned Components

  28. 1,000 Bit Innate Component 1,000,000 Bit Learned Component

  29. 1,000,000 Bit Innate Component 1,000 Bit Learned Component

  30. Implications of Impossible Syntax • A linguist can write a grammar that will adequately characterize any body of data • But it will fail when tested on new data • Partial grammars are not a stepping stone to complete generative grammars

  31. A Universal Law of Generative Grammar Generative grammar is impossible if: H(learned component) + H(innate component) > H(language data) Unless we can use information from another source (genetic, neuroscientific, psycholinguistic)

  32. Why do Syntax? • Studying generative grammar may tell us something about the human mind • It won’t help us build natural language processing systems • Is studying rare and obscure constructions the best way to do syntax?

  33. Conclusion • The idea that we can characterize a language by considering enough linguistic data is a hypothesis • It’s very unlikely that it’s possible to write a complete generative grammar

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