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syntax 1 DAY 30 – nov 6, 2013

syntax 1 DAY 30 – nov 6, 2013. Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University. Course organization. The syllabus, these slides and my recordings are available at http://www.tulane.edu/~howard/LING4110/ .

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syntax 1 DAY 30 – nov 6, 2013

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  1. syntax 1DAY 30 – nov 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

  2. Brain & Language - Harry Howard - Tulane University Course organization • The syllabus, these slides and my recordings are available at http://www.tulane.edu/~howard/LING4110/. • If you want to learn more about EEG and neurolinguistics, you are welcome to participate in my lab. This is also a good way to get started on an honor's thesis. • The grades are posted to Blackboard.

  3. Brain & Language - Harry Howard - Tulane University Review

  4. Brain & Language - Harry Howard - Tulane University Associations for “pig” in LH/RH terms

  5. Brain & Language - Harry Howard - Tulane University Summary of lateralization of word semantics LH RH Slowly selects multiple meanings (divergent processing) that are weakly associated. Primes words that share few semantic features > loosely associated words. Primes the less frequent meaning of an ambiguous word. Primes function, collectives, goal-oriented classes. Priming stays same with more words. Priming is same for unstructured sentences. Priming is same for incongruent sentences. • Quickly selects most familiar or dominant meaning (convergent processing) while suppressing other less closely related meanings. • Primes words that share many semantic features > closely associated words. • Primes the most frequent meaning of an ambiguous word. • Primes category, but not others. • Priming is faster with more words. • Priming is slower for unstructured sentences. • Priming is slower for incongruent sentences.

  6. Brain & Language - Harry Howard - Tulane University Two types of semantic processing Convergent semantic processing Divergent semantic processing … in linguistic tasks which elicit a wide number of responses. In such tasks, subjects must produce alternate meanings or list as many items as possible. For instance, the experiment just mentioned can be continued by asking the subject to supply yet another verb, resulting in a response such as ‘(to) throw’. • … in linguistic tasks which elicit a limited number of responses. • In such tasks, subjects must suppress alternate meanings or select a single best item from many choices. • For instance, a subject may be presented with a noun such as ‘hammer’ and be asked to supply a verb, giving the response ‘(to) pound’.

  7. Brain & Language - Harry Howard - Tulane University Summary of lateralization of phonology LHsmall window of temporal integration no overlap between windows RH large window of temporal integration overlap between windows low temporal frequency: slow cues, like vowels low spectral frequency: fundamental graded/coordinate distinctions: emotional intonation, sentence type? • high temporal frequency: • rapid cues, like stops • high spectral frequency: • formants • categorical distinctions: • lexical, phrasal, clausal stress; • lexical tone in Thai/Chinese

  8. Brain & Language - Harry Howard - Tulane University A conversion to resolution Left hemisphere, fine coding: 9 neurons index 9 regions of space Right hemisphere, coarse coding: 4 neurons index 12+ regions of space

  9. Brain & Language - Harry Howard - Tulane University Associations for “pig” in LH/RH terms

  10. Brain & Language - Harry Howard - Tulane University Sentence comprehension and syntactic parsing Ingram IV. Sentence comprehension, §12

  11. Brain & Language - Harry Howard - Tulane University Linguistic model, Fig. 2.1 p. 37 Discourse model Semantics Sentence level Syntax Sentence prosody Word level Morphology Word prosody Segmental phonology perception Segmental phonology production Acoustic phonetics Feature extraction Articulatory phonetics Speech motor control INPUT

  12. Brain & Language - Harry Howard - Tulane University What is syntactic processing? • “Narrowly defined, syntactic processing involves the assignment of syntactic structure to word strings that qualify as a ‘sentences’”. (p. 244)

  13. Brain & Language - Harry Howard - Tulane University What is a sentence? • Some definitions • A complete thought. • Mary kissed John. • Mary kissed. • Mary. • Kissed. • Kissed John. • A subject and a predicate. • Mary kissed John. • Mary kissed. • Mary. • Kissed. • Kissed John. • A string of words starting with a capital letter and ending with a period.

  14. Brain & Language - Harry Howard - Tulane University What we said at the beginning • S = NP VP, or • [S NP VP] • [S Mary [VP kissed John]] S NP Mary VP V kissed NP John

  15. Brain & Language - Harry Howard - Tulane University But … • … we very often utter incomplete sentences: • Who kissed John? • Mary. • What did Mary do? • Kiss John. • So the missing information can be filled in by the context: • Who kissed John? • [S Mary [VPØ]] • What did Mary do? • [S[NPØ] [VPkiss John]]

  16. Brain & Language - Harry Howard - Tulane University What is a grammar? • “A grammar is an explicit set of rules for distinguishing the well-formed sentences of a language from those that are ill-formed (ungrammatical).” (p. 245) • We have already seen a fragment of a grammar of English: • S → NP VP • VP→ V NP • Which of these strings are ill-formed (ungrammatical), according to this grammar? • Mary kissed John. • Mary kissed. • Mary. • Kissed. • Kissed John. * * * *

  17. Brain & Language - Harry Howard - Tulane University Another example • Let’s change to Ingram’s example, “A cat is on the couch.” • We need to augment our grammar: • NP → Det N, where Det is one of {a(n), the, some} • VP → V PP • PP → P NP, where P is one of {on, in, at, by, etc.} • Write down the syntactic structure for Ingram’s example: • [S[NP a cat] [VPis [PP on [NPthe couch]]]] S VP NP a cat V is PP on the couch

  18. Brain & Language - Harry Howard - Tulane University NEXT TIME Continue with §12 Sentence comprehension and syntactic parsing

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