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PSYCHOLOGICAL AND COGNITIVE SCIENCES Experiment 2 was a speeded acceptability judgment test where participants were presented with a total of 138 sentences. Sixty- four were experimental stimuli, alongside 64 distractor items and an additional 10 anchoring items to allow participants to Fig. 1. Hierarchical structure of coordination (9–11). establish clear endpoints of the grammaticality scale. Half of the experimental items were SV and the other half VS. There were eight conditions placed in both SV and VS configurations [all for closest-conjunct agreement in preverbal cases such as exam- gender combinations except masculine (M)+M] and two sen- ple ii. In South Slavic languages, both are possible, as shown in tences per condition. The stimuli were identical to those elicited these examples from Bosnian/Croatian/Serbian: in the production study. Twenty native speakers at each of six sites, with the same criteria outlined above, rated each agree- ment structure with a judgement from 1 to 5 for its degree of acceptability. The design and methodology of the three experiments were identical across sites, with local adaptation of vocabulary and morphosyntax orthogonal to agreement. Participants were ages 18–22 y, were not linguistics students, and were native speakers N.PL, neuter plural; F.PL, feminine plural. who grew up in the region tested. An earlier study (14) demonstrated that all three options— agreement with the first conjunct, agreement with the second Results conjunct, and default masculine plural agreement—are used in The “default” value for conjuncts with mixed genders is M plural, Slovenian. Here we broaden the scope of investigation to the and this is an option that is often suggested in prescriptive gram- entire western South Slavic linguistic branch shown in Fig. 2 mars, presumably avoiding the choice of privileging the gender of to verify the robustness and replicability of the phenomenon. either conjunct and rather opting for a default (or “last resort”) These languages are an ideal testbed for comparison of language value for the conjunction as a whole. Thus, for example, when distances and changes in progress as they include Slovenian as an &P in preverbal position has a combination such as N + M, well as three varieties that until recently were considered a sin- and we see M agreement on the verb, we cannot tell whether it gle language (Serbo-Croatian or Croato-Serbian), but with the is default or closest conjunct agreement. However, in the com- dissolution of former Yugoslavia have become official national binations N + F and F + N, there are three distinct options: languages with independent prescriptive norms that occasionally first-conjunct agreement (hierarchical), closest-conjunct agree- aim to widen the gap between neighboring varieties, typically in ment (linear), and default agreement. Note that in postverbal the domain of the lexicon. (VS) contexts, the first conjunct is the closest conjunct. In SV contexts, therefore, linear agreement favors the second conjunct, Experiments while hierarchical agreement favors the first conjunct, as shown Three experiments were conducted. The methodology used in in Fig. 3, Left. In VS contexts, neither strategy favors the second experiments 1a and 1b, elicited production, involved coordi- conjunct, as shown in Fig. 3, Right. nated noun phrases. In elicited production, participants first see a model sentence, such as Prevod je ovjeren peˇcatom, “The trans- Linear Agreement Is Robust Across All Sites. The results showed lation [masculine singular (M.SG)] was authenticated (M.SG) that linear agreement was robustly found across all sites, as by seal.” They then see a replacement noun phrase, a coordi- shown in Fig. 4 for the preverbal [N&F] and [F&N] conditions. nated phrase (&P) in the target conditions, displayed onscreen, In fact, linear agreement trumps hierarchical agreement at least as Molbe i rjeˇsenja, “requests (F.PL) and decisions (N.PL).” After three times to one, across all six sites. seeing the replacement noun phrase, they were asked to sub- These results establish that closest conjunct agreement is stitute the subject of the model sentence with the replacement greatly preferred to highest conjunct agreement. As noted above, phrase and produce the new complete sentence, e.g., Molbe i however, default agreement (e.g., M plural) is an additional rjeˇsenja su ovjeren-i/-a/-e peˇcatom, “Requests (F.PL) and deci- last resort strategy available to speakers alongside highest and sions (N.PL) were authenticated (M.PL/N.PL/F.PL) by seal,” where the dependent variable is the gender ending they place on the verb in this new production. Responses were recorded, clas- sified, and tabulated. Additionally, production latency until they continued to the next item was measured. As an independent variable we included all nine &P combi- nations of the three genders, with six items per condition. The NPs involved were always inanimate and plural, and the depen- dent variable was the gender agreement on the participle. Inani- mates were chosen to allow all three genders to potentially con- trol agreement based on their position, without interference of semantic preferences for animacy-based gender. Plurals were chosen to ensure a match between the number of each individual conjunct and that of conjunction as a whole. We used 54 distrac- tor items (18 relative clauses, e.g., “the table that was broken”; 18 quantified noun phrases, e.g., “12 chairs”; and 18 “hybrid” nouns, e.g., ones with mismatching morphological and semantic gender). Experiment 1a focused on SV configurations (preverbal subject NPs), with 30 participants at each of the six sites as shown in Fig. 2. Experiment 1b focused on VS configurations (postver- bal subject NPs) of the same conditions, again with n = 30 at Fig. 2. Research sites for the South Slavic comparison. Map was created six sites. with R’s ggmap package, using Google Maps data.

496 | www.pnas.org/cgi/doi/10.1073/pnas.1712729115 Willer Gold et al. Downloaded by guest on October 2, 2021 Downloaded by guest on October 2, 2021 ilrGl tal. et Gold Willer in item first evi- the for provides role special structures particularly no postverbal high is in there extremely that the agreement dence However, linear sentence. of the is it in rate because item cases preverbal first in very out lin- themselves, the wins for conjunct conjuncts first preference of the terms particular that in but no agreement is interpretation hierarchical there second vs. that ear The claim choice. to based be would agreement hierarchically plural a M not default is that out—and linear wins that confirming truly postverbal structures, agreement in preverbal lower in is much it agree- is than agreement nondefault, structures default i.e., of rate first-conjunct, production The yield ment. distinct two both con- are that first there strategies the structures, postverbal on two in converge these junct both As strategies themselves. to controller coordination refer agreement the here within used as conjuncts agreement the “hierar- “linear” because and is this agreement hypothesis, chical” last By postverbal shows. a in 6 plummets Fig. as as drastically conditions, than agreement that default rather found of basis we (24), rate empirically the the conflict However, on herein). of whole proposed combinations) cases (as a N resort in features as + conjunct coordination the each F the reflecting of or by choice, computed based F default are hierarchically + that analyze of N kind to in a con- be plural as agreement M would (e.g., in One agreement hierarchy coordination. over given linearity trollers for preference ent (20–23). production real-time during compete that is “multiple grammars” mod- flexibility simultaneous of entertain grammatical indicative speakers individual generally where compati- whereby more els 19, and are latency, ref. results increase as These to found such 5. claims Fig. pro- with in for ble shown average overall as highest latency, the [N&F] duction the have Thus, controller, conditions them. agreement [F&N] among choose of and to choice time one more take than participants, literally which more in have models they overall with when an compatible found are and results These conditions mil- nine correlation in the time strong of situa- production each divergent average for most overall liseconds the the is compared matches We FN/NF always tion. of Finally, default level strategy. where next FM, other The MF, one NM, outcome. and MN, same hierarchical, is the linear, complexity yield condition, all this strategies Shannon for lowest default pro- as the 0.002, with the produc- of configurations over of [M&M] Entropy in uniformity computed com- found greatest is entropy are the tion Shannon default) whereby and responses, of duction closest, terms (highest, Suppose in mea- options conditions. pared we nine three study, all all for same that latencies the production Within the ones. sured preferred based often hierarchically are controllers to agreement linear agreement, for the among choices linear strategies. nondefault vs. as hierarchical conjuncts two on ques- research addi- specifically Our 100%). is the to tion up for adding responses responsible of rates (thereby tional agreement conjunct closest (Right VS in whereas converge. distinct, they are strategies two these verbal), 3. Fig. e scnie w lentv nepeain o h appar- the for interpretations alternative two consider us Let conjunct a choosing of production of phenomenon the For ihs bu)v.coet(e)areeti P.I V(Left SV In &Ps. in agreement (red) closest vs. (blue) Highest ρ 0.90, = P < .0 o h Vconditions. SV the for 0.005 (postverbal) ) (pre- ) e vraheacial lsroei upiig ie the given surprising, is cho- one is closer agreement hierarchically for a controller closer over linearly sen a that Attraction. finding from Distinct Is Agreement strategy. Linear possible grammatically a indeed is indicat- former a altogether, the with that conjunct agreement ing the with from compared absent agree- highly completely hierarchical more feature rated shows, still 7 is Fig. ment as Nonetheless, clos- linearly controller. a to est agree- out loses conjunct generally preverbal controller for hierarchical confirming least ment, at agreement, that, conjunct these results highest production of fact the all in con- than is [M&F] lower and ones, strategy, is [M&N], previous highest-rated [F&N], that [N&F], third conjunct the The in second ditions. as a N, or with F agreement either conjunct agreement default closest are and strategies on the highest-rated agreement next M in The of verb. as result agreement the the noun, closest deliver would M either agreement an where default or rated—particularly also conditions, [N&M] is highly and agreement [F&M] most of linearly controller is that the show when agreement 7, accept- Fig. conjunct in be conditions The based SV up actually study. the rating line for a would shown studies 2, results, experiment what production conducted we of of Therefore, impor- able. results judgments is the speakers’ that it with confirm Nonetheless, to prefer. tant arguably noun speakers coordinated strategies the within closest and itself. choice phrase the highest that rather between and controller is privileged a as sentence the bars. mean of SE with site per shown choice (n of preverbally percentage conditions, age [F&N] and [N&F] for agreement 4. Fig. ersin hno nrp frsosssgicnl rdcsproduction predicts significantly responses time, of entropy Shannon high- regression, (where diverge), condition agreement SV closest the and in est combinations gender nine the for ductions 5. Fig. rdcinsuisofradrc iwo h grammatical the of view direct a offer studies Production β 86, = rdcintm ssgicnl orltdwt nfriyo pro- of uniformity with correlated significantly is time Production ae fheacial ae hget s ierybsd(closest) based linearly vs. (highest) based hierarchically of Rates t = 4.10, P PNAS < 0.0001. | aur 6 2018 16, January n 8.I ul rse mixed-effects crossed fully a In 180. = | ssae bv,the above, stated As o.115 vol. 8) ihaver- with 180), = | o 3 no. | 497

PSYCHOLOGICAL AND COGNITIVE SCIENCES Fig. 7. Acceptability ratings for agreement as controlled by the closest (M), Fig. 6. Rates of default agreement in SV (preverbal coordination) vs. VS default, closest (F or N), highest, or no conjunct (n = 120), modeled as a (postverbal coordination) structures. Default agreement is produced signif- fully crossed mixed-effects regression with a five-level Helmert-coded pre- icantly more often in SV structures than it is in VS structures (41% vs. 5%, dictor. The combination of default and closest agreement is rated signifi- fully crossed and centered logistic mixed-effects linear model, t = 11.72, p < cantly higher than default agreement only. Closest agreement is rated sig- 0.0001). nificantly higher than agreement with highest, which in turn is rated higher than the baseline lack of agreement. All significant differences marked with * between the relevant columns. longstanding demonstration that syntactic operations, and indeed learners, typically prefer hierarchical over linear general- izations. At first blush, it might be tempting to relate our findings to the kind of performance errors found in agreement-attraction verbal subjects (compare Fig. 4) might lead one to ask whether production studies such as “The key to the cabinets are miss- &Ps have any internal hierarchical structure at all. Indeed, if ing” (16, 25); see also ref. 26 for an overview of comprehension &Ps lacked internal hierarchical structure, the entire question studies. However, the rate of linear agreement obtained in our of whether linearity trumps hierarchy becomes moot. However, results is much higher than that usually found in production stud- there is incontrovertible evidence based on our results that &Ps ies of attraction [around 13%, in a metaanalysis of 16 studies have internal hierarchical structure, as found in the comparisons (27)], suggesting it is a distinct phenomenon. In fact, we included between SV (preverbal) and VS (postverbal) structures. To see attraction configurations as well, to compare the two kinds of why this is so, consider what the results would be like if &Ps were structures, using the same elicited production technique; for flat structures, as shown in Fig. 10. If &Ps were flat, there should example, the model sentence Reklama je emitovana na radiju, be no difference in the rate of agreement with NP1 in preverbal “The advertisment (F.SG) was broadcasted (F.SG) on the structures vs. the rate of agreement with NP2 in postverbal struc- radio,” was paired with a replacement phrase featuring a postver- tures, as both are distal conjuncts (i.e., linearly farther away from bal subject in a relative clause, such as Pitanje koje su postavili the verb than the other conjunct), but both are “equally far” from sluˇsaoci, “The question (N.SG) that had asked (M.PL) the lis- the verb. By contrast, given a hierarchical structure for &Ps as in teners (M.PL),” where the M plural is linearly most rightward, Fig. 1, there should be a difference in the rate of agreement with but not hierarchically highest. The substitution could thereby NP1 in preverbal structures, which are still hierarchically favored, potentially result in linearly based attraction, such as Pitanje vs. the rate of agreement with NP2 in postverbal structures, which koje su postavili sluˇsaoci su emitovan-i na radiju, “The question are neither linearly nor hierarchically favored. that the listeners (M.PL) had asked (M.PL) were broadcasted The results demonstrate an asymmetry: NP1 agreement in (M.PL) on the radio.” Nonetheless, as Fig. 8 shows, linear agree- SV structures is greatly preferred to NP2 agreement in VS ment is greatly overshadowed by hierarchical agreement in these structures. Hierarchical structure is the way to encode asymme- attraction configurations, in stark contrast to the conjunct agree- try: Without hierarchy, structures would be flat, symmetric, and ment results in Fig. 4. Comparison of the rate of highest con- equally (dis)preferable for the distal conjunct, and recall that in junct agreement in coordination structures vs. its rate in attrac- the elicited production design, participants saw the entire con- tion configurations was significant in a fully crossed mixed-effects junction separately before producing VS agreement. Nonethe- logistic regression (z = 28.92, P < 0.0001), consistent with the less, in both production and perception, NP1 agreement in SV interpretation that linear agreement is distinct from agreement attraction in these languages and possibly beyond. Why should attraction show the expected preference for hierar- chical effects, whereas conjunction shows a preference for linear effects? We contend that the crucial factor is that the first con- junct in an &P is not the head of the &P and that hierarchy “fails” given the details of the structure of the &P. The two structures are compared in Fig. 9, where it can be seen that given a coor- dination structure, the higher NP1, is not the head of the whole phrase, and there is thus no reason for agreement to respect the hierarchy. By contrast, in an attraction structure based on a rela- tive clause, the noun projecting the higher NP1 is the head of the whole phrase, and agreement is therefore forced to respect the hierarchical structure. In short, the difference is that an &P is not headed by NP1, whereas an attraction structure is headed by the noun projecting NP1, and that makes all of the difference. Fig. 8. Rate of hierarchically based (highest) vs. linearly based (closest) However, at this point, the fact that NP2 has been overwhelm- agreement for attraction configurations, with average percentage of choice ingly chosen as a controller for agreement over NP1 with pre- shown per site with SE of mean bars.

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PSYCHOLOGICAL AND COGNITIVE SCIENCES factorial design with the two conjuncts as factors. For each condition, 6 Procedure. In experiments 1a and 1b, participants were tested individually. experimental items were created, amounting to a total of 54 stimulus items. Each participant was seated in a sound-isolated or quiet room. Examples Only inanimate plural count nouns were used in coordinations to ensure were displayed on a monitor in black on a white background in 12-point control over the number feature while manipulating gender and to avoid font size. Materials were presented on the screen using IbexFarm (37), a differences between neuter and nonneuter genders in the potential influ- free on-line experimental tool and platform. Participants were asked to read ence of biological gender. The nouns that were conjoined were from the and produce the experimental sentences with a loud and clear pronuncia- same semantic field and each one was individually compatible with the tion and were encouraged to speak at a natural pace. Response produc- predicate in the model sentence. Nouns were carefully chosen not to form tion was recorded by Audacity, using a built-in microphone, onto the com- idiomatic coordinations or collocations with the verb or each other (see puter in a .wav format. The digitally recorded responses were hand coded by SI Appendix, Experiment 1 for the full list of examples). An additional 54 native speakers according to their agreement endings and agreement fea- fillers were used in the experiment that did not involve conjoined noun tures. Responses were coded as correct responses when the model sentence phrases. Participants were first presented a model sentence that used a sim- was correctly repeated and contained the inflected participle, the exact par- ple nonconjoined masculine singular noun with a zero suffix both on the ticiple used in the model sentence, or a semantically similar one. Any sec- noun and on the agreeing verbal participle. All model sentences were made ond production of an inflected participle that differed from the first one on the same template: Subject(Noun) + Aux + Participle + Preposition + as a result of autocorrection was transcribed but these were not consid- Noun for experiment 1a and Preposition + Noun + Aux + Participle + Sub- ered in the analysis. Responses were coded as agreement errors when the ject(Noun) for experiment 1b. Prepositional phrases (adjuncts) were added sentence produced met all of the above criteria for correct responses but at the beginning or the end of the model sentence to fill in the slot in the the participant produced ambiguous or unintelligible agreement. Responses intonation contour taken by the subject in the other condition and to make were coded under miscellaneous responses when incorrect words were pro- the postverbal condition sound natural. The mean length in characters of duced, the sentence was interrupted, order was changed, or when no the model sentence and the conjuncts was the same across all nine con- response was provided. Only uniquely correct responses were considered in ditions (model sentence mean, 28 characters with spaces/10 syllables; con- the analysis. junction mean, 18 characters with spaces/8 syllables). Eighteen comprehen- Experiment 2 was conducted simultaneously by all participants at each sion questions appeared after the replacement phrase to keep participants site in a computer lecture room. Experimental trials were preceded by engaged. The number of comprehension questions was balanced across eight practice examples and 10 anchoring items varying in grammaticality. conditions. Anchoring items were used to allow participants to create a benchmark of Experiment 2 was a rating study in which 128 sentences were presented grammaticality to be used on the experimental items that followed. For all in random order, with 64 experimental items and 64 fillers. For the exper- experiments, consent forms and a comprehensive biographic questionnaire imental items, the sentences from experiments 1a and 1b were chosen aimed to obtain information about the participants’ native language variety as the basis of design (see SI Appendix, Experiment 2 for the full list of were administered off-line. examples). There were 32 experimental conditions (16 postverbally, 16 pre- ACKNOWLEDGMENTS. The authors thank the PNAS editor, two anonymous verbally), with 2 sentences for each. On top of the genders of the two PNAS reviewers, D. Almeida, R. Bhatt, N. Chomsky, J. Lidz, and J. Mer- conjuncts, another factor was the gender agreement shown on the verb. chant for their insightful comments. This work was partially supported by Participants were shown the sentence for 3,500 ms and were then asked to Leverhulme Trust Grant 512900 (to A.N.) and by Slovenian Research Agency give an acceptability judgment for it on the next screen. Grants P6-0382 and J6-7282 (to F.L.M.).

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