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Conceptual Plurality in Japanese EFL Learners’
Online Sentence Processing: A Case of
Garden-path Sentences with Reciprocal Verbs
August 23, 201541st JASELE
Kumamoto Gakuen University
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
2
• Grammatically (morphologically) plural• “PUT -s” • cats, dogs, cups, etc.
• Conceptually plural• plurale tantum
• scissors, pants <-these are single entity• collective nouns
• family, staff, team• grammatically singular but conceptually plural
Background3
Conceptual Plurality
• Verbs that involves two or more people and each of them is “both Agent and Target” in the actions (Dixon, 2005, p.65)
• Typically followed by each other (but not always)• Non-reciprocal use
• John met Mary. (John: Agent, Mary: Patient or Target)
• Reciprocal use• John and Mary met. (Both: Agent and Patient)• *John met. vs. They met.
4Introduction
Reciprocal verbs
• Requires readers reanalysisAs the parents left their child played the guitar nicely.
5Introduction
Garden-path sentences
• Requires readers reanalysis As the parents left their child played the guitar nicely.
[As the parents left,] their child played the guitar nicely.
6Introduction
Garden-path sentences
NP ??
NP V
DOV
V DOSubjective NP
intransitive
Findings of This Study• L2 learners may be able to conceptually
process conjoined NPs as plural• The pattern that L2 learners showed was similar
to the results of previous L1 studies
7Introduction
Yu TAMURA1 Junya FUKUTA2
Yoshito NISHIMURA1
Yui HARADA1
Kazuhisa HARA1
Daiki KATO1
1Graduate School, Nagoya Univ.2Graduate School, Nagoya Univ. / The Japan Society for the Promotion of Science
8
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
9
• Extensively investigated in the field of L1 psycholinguistics (e.g., Bock & Cutting, 1992; Bock & Eberhard, 1993; Haskell & MacDonald, 2003; Humphreys & Bock, 2005; Patson & Ferreira, 2009; Patson & Warren, 2010; Patson, George, & Warren, 2014, Vigliocco, Butterworth, & Semenza, 1995)
• L2 learners might be able to use conceptual plural information in online processing (e.g., Hoshino, Dussias, & Kroll, 2010; Kusanagi, Tamura, & Fukuta, 2015; Tamura & Nishimura, 2015)
Background10
Conceptual Plurality
• How numerosity or number information is represented mentally.• cat, cats
• Sometimes, it’s ambiguous• some cats
• exact number unspecified• the soldiers
• a single undifferentiated group?• a set of differentiated group?
11Introduction
Conceptual Plurality
• Kaup, Kelter, & Habel (2002)• John and Mary went shopping.
A. They bought a gift.B. Both bought a gift.
• How many gifts did John and Mary buy?
12Introduction
Conceptual Plurality
A. They bought a gift.• 1 gift: John and Mary represented as group
B. Both bought a gift.• 2 gifts : John bought one and Mary bought one• “a gift” (singular) is distributed
• Human sentence processor is sensitive to the difference between group and distributed object.
13Introduction
Conceptual Plurality
• Humphreys & Bock (2005)• distributional effects of collective nouns• Sentence completion task
A. The gang on the motorcycles…B. The gang near the motorcycles…
• plural verbs are produced more in A than B• “gang” is distributed to each motorcycles
14Introduction
Conceptual Plurality
• Patson & Ferreira (2009)• Used reciprocal verbs and garden-path
sentences• Fingings
• Plurality is ambiguously represented in processing
• constituent of plural set must be clearly specified (e.g., conjoined NP)
15Introduction
Previous L1 Research
• Previous research• Even highly proficient L2 learners whose L1
doesn’t have number agreement cannot fully acquire the plural marker -s (e.g., Chen et al., 2007; Jiang, 2004; 2007)
• It may depend on the linguistic structures and task (e.g., Lim & Christianson, 2014; Song, 2015)
Background16
Acquisition of plurality
• Plural marking (Shibuya & Wakabayashi, 2008) • Conjoined NP (e.g., Tom and Mary): salient• Plural definite (e.g., The chefs): less salient -> Japanese learners of English (JLE) are
sensitive to number disagreement in the case of conjoined NP
Background17
Acquisition of plurality
• Processing of conjoined NP (Tamura et al., in prep)
• His wife and son *is/are in the cottage now.-> Singular agreement was faster
• The writer and the director *was/were at this party.
-> No differenceJLE cannot interpret conjoined NP as plural in online sentence processing?
Background18
Acquisition of plurality
• Trenkic, Mirovic, & Altmann (2014)“Being able to detect violations in ungrammatical sentences, however, is not the same as being able to facilitatively utilise grammatical information in the processing of well-formed sentences.” (p.239)
• Vainio, Pajunen, & Hyona (2015)“the non-violation paradigm allows its user to examine how linguistic structures…are utilized during online language processing in the absence of grammatical violations” (p.4)
Background19
Limitation of anomaly detection
• Previous research on processing and acquisition of plural features (e.g., Shibuya and Wakabayashi, 2008; Tamura et al., in prep)
• anomaly detection• number agreement
• The failure of detecting number agreement mismatch does not tell us much about WHY it happened.• failure of assigning plural features?• failure of matching number features?
Background20
Motivation of the study
• Plurality is much explicit in conjoined NP than plural definite description
• Reciprocal verbs require two thematic roles A. While the boy and the girl dated the performer
played the piano on the stage.B. While the teenagers dated the performer played
the piano on the stage.
In processing conjoined NP with reciprocal verbs, no garden-path effects should be found.
Background21
Hypothesis
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
22
• 32 Japanese undergraduate and graduate students
• 58% had some experience in staying in English-speaking countries(Min = 2 weeks, Max = 54 months)
Table 1. Background Information of the Participants
The Present Study23
Participants
Age TOEIC ScoreN M SD M SD
Participants 32 24.77 5.34 824.22 113.12
• Twenty test items in four conditionsA. While the boy and the girl dated the
performer played the piano on the stage.B. While the teenagers dated the performer
played the piano on the stage.C. While the boy and the girl paid the performer
played the piano on the stage.D. While the teenagers paid the performer
played the piano on the stage.
The Present Study24
Stimuli
Conj/recip
PDD/recip
Conj/OT
PDD/OT
• Ten reciprocal verbs• fight, hug, date, kiss, argue, embrace, meet, divorce, marry, battle
• Ten optionally transitive verbs• criticise, write, pay, investigate, email, search, negotiate, leave, recover, protest
• Five conjunctions equally distributed• when, while, as, after, because
(based on Patson & Ferreira, 2009)
The Present Study25
Stimuli
• Self-paced reading task on PC• Moving window and word by word reading
The Present Study26
Experiment
_____ __ __ __ ___ _____ __ _____ ___ ____
While __ __ __ ___ _____ __ _____ ___ ____
____ the __ __ ___ _____ __ _____ ___ ____
____ __ boy __ ___ _____ __ _____ ___ _______ __ boy __ ___ _____ __ _____ ___ _______ ___ __ ___ _____ __ _____ stage. ___
____ __ ___ __ ___ _____ __ _____ ___ 次へ
• Target regionsA. While the boy and the girl dated the
performer played the piano on the stage.B. While the teenagers dated the performer
played the piano on the stage.C. While the boy and the girl paid the performer
played the piano on the stage.D. While the teenagers paid the performer
played the piano on the stage.
The Present Study27
Experiment
• Outliers1. Each participant’s means and SDs of RTs in each condition were calculated
2. Responses above the Mean RTs +/- 3SD were removed
3. Responses below 200ms were removed4. Overall, 4.5% of all the responses were removed
The Present Study28
Analysis
• Generalized Linear Mixed-Effects Model (GLMM) by R 3.2.0• Explanatory variables
• Verb types (2 levels): • reciprocal, optionally transitive (OT)
• Noun types (2 levels): • Conjoined, plural definite description (PDD)
• Response variables• Raw RTs
• Distribution family and link function• Gamma distribution and log-link
• Participants with low proficiency (n = 4) were removed
The Present Study29
Analysis
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
30
31
Reading Time
Results
V the N targetV D N
Conj/recip 617(212)
531(142)
543(182)
600(248)
498(116)
543(163)
PDD/recip 758(428)
516(116)
594(226)
721(369)
550(219)
593(250)
Conj/OT 679(351)
505(121)
535(147)
643(230)
561(224)
607(238)
PDD/OT 723(250)
518(143)
697(183)
697(229)
561(183)
558(154)
Table 2. Mean RTs (ms) and SDs (parentheses) in each condition
N = 28
32
Reading Time
Results
33
Reading Time
Results
34
Reading Time
Results
• Target V• The best model justified by AIC and BIC• rt ~ conj + (1 | participant) + (1 | item)• Only the main effect of noun type
•Number of observation: 501•Participant : 28• Item: 20
Model Selection
Results35
• Target V• Random effects (intercepts)
• Fixed effects
Model Selection
Results36
Variance SDparticipant 0.05 0.22
item 0.01 0.12
Residual 0.18 0.42
Estimate SE t p
intercepts 6.44 0.09 69.80 p < .001
conj -0.11 0.03 -3.31 p < .001
• Determiner (one word after the Target V)• The best model justified by AIC and BIC• rt ~ recip + conj + recip:conj + (1 + conj + recip | participant) + (1 + conj | item)
• interaction was included (but not significant)• Number of observation: 547• Participant : 28• Item: 20
Model Selection
Results37
• Determiner (one word after the Target V)• Random effects (intercepts & slope)
•Fixed effects
Model Selection
Results38
Variance SDparticipant (intercept) 0.03 0.17
conj 0.24 0.15recip 0.22 0.14
item (intercept) > 0.01 0.05conj 0.02 0.14
Residual 0.140 0.37
Estimate SE t pintercepts 6.22 0.06 98.97 p < .001
recip -0.06 0.05 -1.27 .21conj -0.05 0.07 -0.82 .41
recip:conj -0.07 0.05 -1.37 .17
• Object Noun (two words after the Target V)• The best model justified by AIC and BIC• rt ~ recip + conj + recip:conj + (1 + conj + recip | participant) + (1 | item)
• interaction was included• Number of observation: 532• Participant : 28• Item: 20
Model Selection
Results39
•Object Noun (two words after the Target V)• Random effects (intercepts & slope)
•Fixed effects
Model Selection
Results40
Variance SDparticipant (intercept) 0.04 0.19
conj 0.02 0.13recip 0.02 0.13
item (intercept) 0.01 0.12Residual 0.13 0.37
Estimate SE t pintercepts 6.28 0.09 69.31 p < .001
recip -0.04 0.04 -0.84 .21conj -0.02 0.04 -0.42 .41
recip:conj -0.12 0.05 -2.21 0.03
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
41
• Target V• Conj/recip, Conj/OT < PDD/OT, PDD/recip
• Determiner (one word after the Target V)• No difference
• Object noun (two words after the Target V)• PDD/OT < Conj/OT (β = -0.09, t = -1.74, p = .08)• Conj/recip < Conj/OT (β = -0.10, t = -2.49, p = .01)• PDD/recip - PDD/OT (β = 0.03, t = 0.79, p = .43)• Conj/recip - PDD/recip ( β = 0.04, t = 0.86, p = .40)
Discussion42
RT differences
• Conjoined NP and PDD were processed differently
• The participants succeeded in assigning reciprocality to reciprocal verbs only when the subject was conjoined
Discussion43
Processing of Plurals
• Subject NP: conjoined• Verb: optionally transitive-> The participants still looked for object noun
Discussion44
Processing of Plurals
Fast RT in conjoined NP with reciprocal verbs were not only because of conjoined NP but also reciprocal verbs
Discussion45
Processing of Plurals
• Conjoined NP
• Plural definite description
Discussion46
Processing of Plurals
※It is possible that the participants failed to process plural marker -s
Discussion47
Processing of PluralsStructure of NP Methodology Results
Shibuya & Wakabayashi
(2008)
[Proper Noun]
and
[Proper Noun]
overuse of 3rd person singular -s sensitive
Tamura et al. (in prep)
[Det + Noun]
and
[Det + Noun]
number agreement with copula be insensitive
This study[Det + Noun]
and
[Det + Noun]
garden-path sentences with reciprocal verbs
conceptuallysensitive
• Possible causes of conflicting results• 3rd person singular -s vs. copula be• Proper nouns vs. [Det + N]
• Tom and Mary vs. the wife and the husband• Confirming the conceptual representation of
plurals (e.g., Hoshino, Dussias, & Kroll, 2010; Kusanagi, Tamura, & Fukuta, 2015; Tamura & Nishimura, 2015)
Discussion48
Processing of Plurals
• Plurality assignment to PDD • Shibuya & Wakabayashi (2008) -> NO• What about the case of copula be?
• Conceptual representation of • [quantifier + N] (e.g., many cats, some cats)• [numerals + N] (e.g., two cats, three cats)• singularity (e.g., a cat, one thing)
Discussion49
Future Research
• Self-paced reading task • cannot capture the processing of reanalysis• eye-tracking would be better?
• Comprehension questions• no test items were followed by CQ• unclear as to the success of ambiguity
resolution
Discussion50
Limitations
Overview• Introduction• Background• The Present Study• Results• Discussion• Conclusion
51
• What JLE can do is• conceptually representing conjoined NP as plural
(but not syntactically?)• What JLE cannot do is
• conceptually representing PDD as plural
52
Representation of plurality
Conclusion
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Bock, K., & Eberhard, K. M. (1993). Meaning, sound and syntax in english number agreement. Language and Cognitive Processes, 8, 57–99. doi:10.1080/01690969308406949
Chen, L., Shu, H., Liu, Y., Zhao, J., & Li, P. (2007). ERP signatures of subject–verb agreement in L2 learning. Bilingualism: Language and Cognition, 10, 161–174. doi:10.1017/S136672890700291X
Dixon, R. M. W. (2005). A semantic approach to English grammar (2nd ed.). Oxford University Press.Haskell, T. R., & MacDonald, M. C. (2003). Conflicting cues and competition in subject-verb agreement. Journal of
Memory and Language, 48, 760–778. doi:10.1016/S0749-596X(03)00010-XHoshino, N., Dussias, P. E., & Kroll, J. F. (2010). Processing subject–verb agreement in a second language
depends on proficiency. Bilingualism: Language and Cognition, 13, 87–98. doi:10.1017/S1366728909990034Jiang, N. (2004). Morphological insensitivity in second language processing. Applied Psycholinguistics, 25, 603–
634. doi:10.1017/S0142716404001298Jiang, N. (2007). Selective integration of linguistic knowledge in adult second language learning. Language
Learning, 57, 1–33. doi:10.1111/j.1467-9922.2007.00397.xKaup, B., Kelter, S., & Habel, C. (2002). Representing referents of plural expressions and resolving plural
anaphors. Language and Cognitive Processes, 17, 405–450. doi:10.1080/01690960143000272Kusanagi, K., Tamura, Y., & Fukuta, J. (2015). The Notional number attraction in English as a foreign language : A
self-paced reading study. Journal of the Japan Society for Speech Sciences, 16, 77–96.Lim, J. H., & Christianson, K. (2014). Second language sensitivity to agreement errors : Evidence from eye
movements during comprehension and translation, Applied Psycholinguistics. Advanced online publication. doi: 10.1017/S0142716414000290
References53
Patson, N. D., & Ferreira, F. (2009). Conceptual plural information is used to guide early parsing decisions: Evidence from garden-path sentences with reciprocal verbs. Journal of Memory and Language, 60, 464–486. doi:10.1016/j.jml.2009.02.003
Patson, N. D., George, G., & Warren, T. (2014). The conceptual representation of number. The Quarterly Journal of Experimental Psychology, 67, 1349–65. doi:10.1080/17470218.2013.863372
Patson, N. D., & Warren, T. (2011). Building complex reference objects from dual sets. Journal of Memory and Language, 64, 443–459. doi:10.1016/j.jml.2011.01.005
Song, Y. (2015). L2 Processing of Plural Inflection in English. Language Learning, 65, 233–267. doi:10.1111/lang.12100Shibuya, M., & Wakabayashi, S. (2008). Why are L2 learners not always sensitive to subject-verb agreement?
EUROSLA Yearbook, 8, 235–258. doi:10.1075/eurosla.8.13shiTamura, Y., & Nishimura, Y. (2015). Word frequency effects and plurality in L2 word recognition: A preliminary study.
Paper presented at the 45th Annual Conference of Chubu English Language Education Society. Wakayama, Japan.
Tamura, Y., Fukuta, J., Nishimura, Y., & Kato, D. (in prep). L2 learners’ implicit and explicit knowledge about Subject-verb agreement and Coordinated NPs.
Trenkic, D., Mirkovic, J., & Altmann, G. T. M. (2014). Real-time grammar processing by native and non-native speakers: Constructions unique to the second language. Bilingualism: Language and Cognition, 17, 237–257. doi:10.1017/S1366728913000321
Vainio, S., Pajunen, a., & Hyona, J. (2015). Processing modifier-head agreement in L1 and L2 Finnish: An eye-tracking study. Second Language Research. Advanced online publication. doi:10.1177/0267658315592201
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References54
Conceptual Plurality in Japanese EFL Learners’ Online Sentence Processing: A Case of Garden-path Sentences with Reciprocal Verbs
contact info Yu TamuraGraduate School, Nagoya [email protected]
http://www.tamurayu.wordpress.com/
55
A. While the boy and the girl dated the performer played the piano on the stage.B. While the teenagers dated the performer played the piano on the stage.C. While the boy and the girl paid the performer played the piano on the stage.D. While the teenagers paid the performer played the piano on the stage.
No garden-path effect on A -> JLE can conceptually represent conjoined NP
Model Df AIC BIC logLik deviance
(1|participant)+(1| item) 4 6932 6949 -3462 6924
conj + (1| participant)+(1| item) 5 6923 6944 -3457 6913
recip + (1| participant)+(1| item) 5 6933 6954 -3462 6923
conj + recip + (1| participant)+(1| item) 6 6924 6949 -3456 6912
conj*recip+ (1| participant)+(1| item) 7 6926 6955 -3456 6912
conj*recip+ (1+conj | participant)+(1| item) 9 6926 6964 -3454 6908
conj*recip+ (1+recip | participant)+(1| item) 9 6922 6960 -3452 6904
conj*recip+ (1+conj | participant)+(1+conj | item) 11 6930 6976 -3454 6908
conj*recip+ (1+recip| participant)+(1+recip| item) 11 6925 6971 -3451 6903
conj*recip+ (1+conj+recip| participant)+(1| item) 12 6923 6973 -3449 6899
conj*recip+ (1+conj+recip| participant)+(1+recip| item) 14 6927 6986 -3449 6899
conj*recip+ (1+conj+recip| participant)+(1+conj| item) 14 6926 6985 -3449 6898
conj*recip+ (1+conj+recip| participant)+(1+conj+recip| item) 17 6931 7003 -3449 6897
56
Model Selection (Target V)
Model Df AIC BIC logLik deviance
(1|participant)+(1| item) 4 7252 7270 -3622 7244
conj + (1| participant)+(1| item) 5 7251 7273 -3621 7241
recip + (1| participant)+(1| item) 5 7250 7272 -3620 7240
conj + recip + (1| participant)+(1| item) 6 7249 7275 -3619 7237
conj*recip+ (1| participant)+(1| item) 7 7250 7280 -3618 7236
conj*recip+ (1+conj | participant)+(1| item) 9 7238 7277 -3610 7220
conj*recip+ (1+recip | participant)+(1| item) 9 7237 7276 -3609 7219
conj*recip+ (1+conj | participant)+(1+conj | item) 11 7231 7278 -3605 7209
conj*recip+ (1+recip| participant)+(1+recip| item) 11 7238 7285 -3608 7216
conj*recip+ (1+conj+recip| participant)+(1| item) 12 7226 7277 -3601 7202conj*recip+ (1+conj+recip| participant)+(1+recip| item) 14 7227 7287 -3600 7199
conj*recip+ (1+conj+recip| participant)+(1+conj| item) 14 7218 7278 -3595 7190
conj*recip+ (1+conj+recip| participant)+(1+conj+recip| item) 17 7219 7292 -3593 7185
57
Model Selection (Determiner)
Model Df AIC BIC logLik deviance
(1|participant)+(1| item) 4 7065 7082 -3528 7057
conj + (1| participant)+(1| item) 5 7066 7087 -3528 7056
recip + (1| participant)+(1| item) 5 7066 7087 -3528 7056
conj + recip + (1| participant)+(1| item) 6 7067 7093 -3527 7055
conj*recip+ (1| participant)+(1| item) 7 7063 7093 -3525 7049
conj*recip+ (1+conj | participant)+(1| item) 9 7061 7100 -3522 7043
conj*recip+ (1+recip | participant)+(1| item) 9 7059 7097 -3520 7041
conj*recip+ (1+conj | participant)+(1+conj | item) 11 7061 7108 -3520 7039conj*recip+ (1+recip| participant)+(1+recip| item) 11 7060 7108 -3519 7038
conj*recip+ (1+conj+recip| participant)+(1| item) 12 7052 7103 -3514 7028
conj*recip+ (1+conj+recip| participant)+(1+recip| item) 14 7053 7113 -3513 7025
conj*recip+ (1+conj+recip| participant)+(1+conj| item) 14 7052 7112 -3512 7024
conj*recip+ (1+conj+recip| participant)+(1+conj+recip| item) 17 7055 7127 -3510 7021
58
Model Selection (ObjectNoun)
Conjoined NP PDDthe producer and the editor the editorsthe artist and the painter the artiststhe doctor and the nurse the doctorsthe manager and the secretary the managersthe professor and the lecturer the professorsthe boy and the girl the teenagersthe actor and the actress the actorsthe French and the Spanish the Europeansthe waiter and the waitress the waitersthe wife and the husband the loversthe mayor and the councilor the politiciansthe mother and father the parentsthe writer and the novelist the writersthe runner and the cyclist the athletesthe singer and the guitarist the musiciansthe king and the queen the leadersthe novelist and the poet the writersthe musician and the comedian the entertainersthe coach and the trainer the coachesthe engineer and the mechanic the enginerrs
59
The List of Conjoined NP and PDD