syntax 1 day 30 – nov 6, 2013 brain & language ling 4110-4890-5110-7960 nsci 4110-4891-6110...

18
SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

Upload: lesley-young

Post on 18-Dec-2015

216 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

SYNTAX 1DAY 30 – NOV 6, 2013

Brain & Language

LING 4110-4890-5110-7960

NSCI 4110-4891-6110

Harry Howard

Tulane University

Page 2: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

2

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.

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 3: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

REVIEW

11/06/13 Brain & Language - Harry Howard - Tulane University 3

Page 4: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

Brain & Language - Harry Howard - Tulane University 4

Associations for “pig” in LH/RH terms

11/06/13

Page 5: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

Brain & Language - Harry Howard - Tulane University 5

Summary of lateralization of word semanticsLH RH

a. Slowly selects multiple meanings (divergent processing) that are weakly associated.

b. Primes words that share few semantic features > loosely associated words.

c. Primes the less frequent meaning of an ambiguous word.

d. Primes function, collectives, goal-oriented classes.

e. Priming stays same with more words.

f. Priming is same for unstructured sentences.

g. Priming is same for incongruent sentences.

11/06/13

a. Quickly selects most familiar or dominant meaning (convergent processing) while suppressing other less closely related meanings.

b. Primes words that share many semantic features > closely associated words.

c. Primes the most frequent meaning of an ambiguous word.

d. Primes category, but not others.

e. Priming is faster with more words.

f. Priming is slower for unstructured sentences.

g. Priming is slower for incongruent sentences.

Page 6: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

Brain & Language - Harry Howard - Tulane University 6

Two types of semantic processing

Convergent semantic processing

i. … in linguistic tasks which elicit a limited number of responses.

ii. In such tasks, subjects must suppress alternate meanings or select a single best item from many choices.

iii. 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’.

Divergent semantic processing

i. … in linguistic tasks which elicit a wide number of responses.

ii. In such tasks, subjects must produce alternate meanings or list as many items as possible.

iii. 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’.

11/06/13

Page 7: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

7

Summary of lateralization of phonologyLH

small window of temporal integration

no overlap between windows

• high temporal frequency:• rapid cues, like stops

• high spectral frequency: • formants

• categorical distinctions: • lexical, phrasal, clausal

stress;• lexical tone in Thai/Chinese

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?

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 8: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

8

A conversion to resolutionLeft hemisphere, fine coding:

9 neurons index 9 regions of space

Right hemisphere, coarse coding:

4 neurons index 12+ regions of space

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 9: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

Brain & Language - Harry Howard - Tulane University 9

Associations for “pig” in LH/RH terms

11/06/13

Page 10: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

10

SENTENCE COMPREHENSION AND SYNTACTIC PARSINGIngram IV. Sentence comprehension, §12

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 11: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

11

Linguistic model, Fig. 2.1 p. 37

11/06/13 Brain & Language - Harry Howard - Tulane University

Discourse model

SyntaxSentence prosody

MorphologyWord prosody

Segmental phonologyperception

Acoustic phonetics Feature extraction

Segmental phonologyproduction

Articulatory phonetics Speech motor control

INPUT

SEMANTICS

Sentence level

Word level

Page 12: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

12

What is syntactic processing?• “Narrowly defined, syntactic processing involves the

assignment of syntactic structure to word strings that qualify as a ‘sentences’”. (p. 244)

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 13: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

13

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.

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 14: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

14

What we said at the beginning• S = NP VP, or• [S NP VP]

• [S Mary [VP kissed John]]

11/06/13 Brain & Language - Harry Howard - Tulane University

S

NPMary

VP

Vkissed

NPJohn

Page 15: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

15

But …• … we very often utter incomplete sentences:

a) Who kissed John?

b) Mary.

c) What did Mary do?

d) Kiss John.

• So the missing information can be filled in by the context:a) Who kissed John?

b) [S Mary [VP Ø]]

c) What did Mary do?

d) [S [NP Ø] [VP kiss John]]

11/06/13 Brain & Language - Harry Howard - Tulane University

Page 16: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

16

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:① S → NP VP

② VP → V NP

• Which of these strings are ill-formed (ungrammatical), according to this grammar?• Mary kissed John.• Mary kissed.• Mary.• Kissed.• Kissed John.

11/06/13 Brain & Language - Harry Howard - Tulane University

**

**

Page 17: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

17

Another example• Let’s change to Ingram’s example, “A cat is on the couch.”• We need to augment our grammar:

③ NP → Det N, where Det is one of {a(n), the, some}

④ VP → V PP

⑤ 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] [VP is [PP on [NP the couch]]]]

11/06/13 Brain & Language - Harry Howard - Tulane University

S

NPa cat

VP

Vis

PPon the couch

Page 18: SYNTAX 1 DAY 30 – NOV 6, 2013 Brain & Language LING 4110-4890-5110-7960 NSCI 4110-4891-6110 Harry Howard Tulane University

NEXT TIMEContinue with §12 Sentence comprehension and syntactic parsing

11/06/13 Brain & Language - Harry Howard - Tulane University 18