Presentation is loading. Please wait.

Presentation is loading. Please wait.

Jason Kahn & Jennifer E. Arnold UNC – Chapel Hill Amlap

Similar presentations


Presentation on theme: "Jason Kahn & Jennifer E. Arnold UNC – Chapel Hill Amlap"— Presentation transcript:

1 Jason Kahn & Jennifer E. Arnold UNC – Chapel Hill Amlap
Talking about Objects Jason Kahn & Jennifer E. Arnold UNC – Chapel Hill Amlap

2 Did you get the reading group organized for this semester yet?

3 Did you get the reading group organized for this semester yet?
You wanted a reading group this semester, too?

4 Did you get the reading group organized for this semester yet?
You wanted a reading group this semester, too?

5 Why does “reading group” get reduced?
Givenness Explanations Probability Explanations

6 Why does “reading group” get reduced?
Givenness Explanations Uttered words become given in a discourse (Prince 1992) Given information has a different discourse status/representation (Halliday 1967) Given discourse information gets reduced on subsequent mention (Fowler & Housum, 1987) Probability Explanations

7 Why does “reading group” get reduced?
Givenness Explanations Uttered words become given in a discourse (Prince 1992) Given information has a different discourse status/representation (Halliday 1967) Given discourse information gets reduced on subsequent mention (Fowler & Housum, 1987) Probability Explanations Context increases the probability of mentioning a word Highly probable words get reduced (Bell et al., 2009) Words that convey little information also get reduced (Levy & Jaeger 2007)

8 Well, what kind of reading group did you want?
We’re not going to focus on this, but we’ll come back to it at the end of the talk, because we do think our results have implications for it [Reading group] Bard & Aylett 2004; Brown-Schmidt 2009

9 Cognitive Mechanisms for Reduction
Adapted from Levelt 1989

10 Cognitive Mechanisms for Reduction
Givenness Our view contrasts with traditional views of givenness, which say that givenness may change the discourse status, which is typically manipulated in the text; by contrast, we’re interested in how givenness and probability have an impact on these processes and representations

11 Cognitive Mechanisms for Reduction
Givenness Facilitation Pre-planning

12 Cognitive Mechanisms for Reduction
Givenness Probability Facilitation Pre-planning we are going to focus on the effect of predictability on the cognitive mechanism

13 Cognitive Mechanisms for Reduction
Givenness Probability Facilitation Pre-planning Associative facilitation Pre-planning

14 Cognitive Mechanisms for Reduction
Givenness Probability (Arnold, 1998; Givón, 1983; Tily & Piantodosi, 2009)

15 Facilitation-Based Reduction
Any stimulus that activates representations that are used for language production should lead to some measurable amount of reduction. This includes probability, givenness, and their combination.

16 Novel Predictions Referential events should “count” for reduction

17 Novel Predictions Referential events should “count” for reduction
We should observe reduction from non-linguistic information

18 Novel Predictions Referential events should “count” for reduction
We should observe reduction from non-linguistic information We should observe a difference between linguistic and non-linguistic information

19 Experimental Layout (Exp 1)
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

20 Non-linguistic Stimuli Should Elicit Reduction
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

21 Linguistic Stimuli Should Elicit More Reduction
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

22 We Will Return to Predictability
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

23 Instruction-giving Task
Speaker Listener

24 Move Speaker Listener

25 “The accordion rotates right”
Move “The accordion rotates right” Speaker Listener

26 “The accordion rotates right”
x 3 Move “The accordion rotates right” Speaker Listener

27 “The toothbrush. The belt. The accordion.”
Move “The toothbrush The belt The accordion.” Speaker Listener

28 “The toothbrush. The belt. The accordion.”
Move “The toothbrush The belt The accordion.” “The accordion rotates right” Speaker Listener

29 “The accordion rotates right”
x 3 Move “The accordion rotates right” Speaker Listener

30 Move Speaker Listener

31 “The accordion rotates right”
Move “The accordion rotates right” Speaker Listener

32 “The accordion rotates right”
x 3 Move “The accordion rotates right” Speaker Listener

33 1) Or… Or…

34 1) 2) Or… Or…

35 “[Onset] The toothbrush shrinks.”
1) 2) 3) Or… Or… “[Onset] The toothbrush shrinks.”

36 “[Onset] The toothbrush shrinks.”
1) 2) 3) 4) Or… Or… “[Onset] The toothbrush shrinks.”

37 “[Onset] The toothbrush shrinks.”
1) 2) 3) 4) 5) Or… Or… “[Onset] The toothbrush shrinks.” “[Onset] The belt expands.”

38 “[Onset] The toothbrush shrinks.”
1) 2) 3) 4) 5) 6) Or… Or… “[Onset] The toothbrush shrinks.” “[Onset] The belt expands.”

39 “[Onset] The toothbrush shrinks.”
1) 2) 3) 4) 5) 6) 7) Or… Or… “[Onset] The toothbrush shrinks.” “[Onset] The belt expands.” “[Onset] The accordion rotates right.”

40 Analysis Multi-level Modeled
Information condition (ling, non-ling, control) Control variables (syllables, imageability, etc.) Random intercept for subject and item (cross-classified)

41 Reduced Onset Duration
Linguistic = Non-linguistic < Control * Repeat: third instruction Third Instruction: “[Onset] the accordion rotates right”

42 Reduced Object Duration
Linguistic < Non-linguistic < Control * * Third instruction: “[Onset] the accordion shrinks”

43 Non-linguistic Stimuli Elicited Reduction
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

44 Linguistic Stimuli Elicited More Reduction
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X

45 Cognitive Mechanisms for Reduction
Givenness Predictability

46 Cognitive Mechanisms for Reduction
Givenness Predictability

47 Predictability May (partly) Produce This Effect
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X ASK whether predictability carries this effect X X X See also Lam & Watson 2009

48 Experimental Layout (Exp 2)
Linguistically Given Non-linguistically (conceptually) Given Predictable Linguistic Non-linguistic Control X X X X X X

49 Experiment 2: Is Predictability Necessary?
Reduce the number of instructions per trial to one Vastly reduce the validity of the prime – the object that gets primed is the object that moves only 12.5% (1/8th) of the time Changed the relationship between the experimental and control condition 1/8: 7/8:

50 Experimental Layout (Exp 2)
Linguistic Non-linguistic Primed Unprimed

51 Experimental Layout (Exp 2)
Linguistic Non-linguistic Primed Unprimed

52 Reduced Object Duration (Ling. Only)
Given < Not Given “The accordion” * “The heart” Emphasize the fact that the onset duration here doesn’t differ. “[Onset] the accordion shrinks”

53 (Numerically) Reduced Object Duration
Given < Not Given “[Onset] the accordion shrinks”

54 Experimental Layout (Exp 2)
Linguistic Non-linguistic Primed Unprimed * ?

55 Cognitive Mechanisms for Reduction
Non-linguistic predictability may be necessary Givenness Predictability

56 Cognitive Mechanisms for Reduction
Non-linguistic predictability may be necessary Givenness Predictability Linguistic predictability Is not necessary

57 Cognitive Mechanisms for Reduction
Non-linguistic predictability may be necessary Givenness Predictability …but it may help planning Linguistic predictability Is not necessary

58 Facilitation-Based Reduction
Referential event information can affect reduction (linguistic or not) Non-linguistic information can elicit reduction Linguistic information elicits more reduction (suggesting a facilitation effect) Predictability does not appear to be necessary for reduction in all cases Experimental complement corpus studies; experimental work CAN include information about referential events and non-linguistic information and what’s going on in the speaker’s head

59 Facilitation-Based Reduction
Referential event information can affect reduction (linguistic or not) Non-linguistic information can elicit reduction Linguistic information elicits more reduction (suggesting a facilitation effect) Predictability does not appear to be necessary for reduction in all cases Experimental complement corpus studies; experimental work CAN include information about referential events and non-linguistic information and what’s going on in the speaker’s head

60 Facilitation-Based Reduction
Referential event information can affect reduction (linguistic or not) Non-linguistic information can elicit reduction Linguistic information elicits more reduction (suggesting a facilitation effect) Predictability does not appear to be necessary for reduction in all cases A couple final points - Experimental complement corpus studies; experimental work CAN include information about referential events and non-linguistic information and what’s going on in the speaker’s head

61 Well, what kind of reading group did you want?
What does /this/ pair of experiments say about audience design? Even though we could explain it this way, it seems most natural to explain these results in terms of internal facilitation [Reading group]

62 Acknowledgements Kellen Carpenter and Giulia Pancani (our lab managers), Jennifer Tait, Alyssa Ventimiglia, Leighanne McGill (our RA’s) The Cognitive Department at UNC, whose comments have sharpened our focus here NSF BCS to Jennifer E. Arnold


Download ppt "Jason Kahn & Jennifer E. Arnold UNC – Chapel Hill Amlap"

Similar presentations


Ads by Google