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Induc<ve 
learning 
of 
long-­‐distance 
dissimila<on 
as 
a 
problem 
for 
phonology 
1. 
Background 
Kevin 
McMullin 
and 
Gunnar 
Ólafur 
Hansson 
University 
of 
Bri-sh 
Columbia 
Consonant 
harmony 
Ar-ficial 
language 
learning 
(harmony) 
• Two consonants must agree for some feature value 
• Two attested variants of locality (Rose & Walker 2004, Hansson 2010) 
1. Unbounded harmony holds at any distance within the relevant domain 
2. Transvocalic harmony applies across at most one vowel 
Illustration of the typological split in two Omotic languages 
Unbounded sibilant harmony in Aari (Hayward 1990) 
a. /baʔ-s-e/ baʔse ‘he brought’ 
b. /tʃʼa̤ːq-s-it/ tʃʼa̤ːqʃit ‘I swore’ 
c. /ʃed-er-s-it/ ʃederʃit ‘I was seen’ 
Transvocalic sibilant harmony in Koyra (Koorete; Hayward 1982) 
a. /tim-d-osːo/ tindosːo ‘he got wet’ 
b. /patʃ-d-osːo/ patʃːoʃːo ‘it became less’ 
c. /ʃod-d-osːo/ ʃodːosːo ‘he uprooted’ 
• The attested split is mirrored in the results of adult phonotactic learning for 
sibilants (Finley 2011, 2012) and liquids (McMullin & Hansson in press) 
…Cv-Cv …Cvcv-Cv Cvcvcv-Cv 
Unbounded + + + 
Transvocalic + – – 
unattested – + – 
unattested – + + 
unattested + + – 
Ques-ons 
• Do humans learn and generalize long-distance consonant dissimilation in the 
same way as harmony? 
• How do these biases relate to learnability and formal complexity? 
4. 
Discussion 
(Dis)Agreement 
by 
(Non)Correspondence 
Formal-­‐computa-onal 
perspec-ve 
• CORR constraints induce a surface correspondence relation (C↔C) on co-occurring 
segments that are sufficiently similar 
• “CC-Limiter” constraints impose conditions on corresponding segments 
(e.g. agreement in some additional [F], structural relations) 
CORR-[Rhotic] (Bennett 2013) 
If two co-occurring consonants are both [Rhotic], they must stand 
in C↔C correspondence (indicated by subscript indices). 
CC-EDGE(morpheme) (Bennett 2013) 
Segments in C↔C correspondence must be tautomorphemic. 
CC-SYLLADJ (Bennett 2013; cf. PROXIMITY in Rose & Walker 2004) 
Segments in C↔C correspondence must be in the same or adjacent 
syllables (slightly simplified definition). 
• Inability to enforce CC-Limiter demands may trigger dissimilation as a 
repair (avoiding the need for C↔C correspondence) 
• Languages can be considered stringsets whose phonotactics can be modeled 
with a formal grammar that identifies (un)grammatical strings (words) 
• Complexity of a phonotactic pattern can be assessed based on its membership 
in certain well-defined classes of formal languages (e.g. subregular languages) 
Strictly Local languages (SL) 
• Not computationally complex, defined in terms of k-factors (n-grams) 
• Learnable in the limit from positive data for any fixed k (Heinz 2010) 
• Bounded co-occurrence restrictions are Strictly Local 
e.g. Transvocalic liquid dissimilation is SL3: *rVr, but rV…Vr is permitted 
• Unbounded co-occurrence restrictions are not SLk (they hold at length k+1) 
Tier-based Strictly Local languages (TSL; Heinz et al. 2011) 
• Properly include the SL languages 
• Defined in terms of k-factors amongst a subset of the inventory (tiers) 
• Tiers can be defined in terms of features, natural classes, or arbitrarily 
Examples of tier-based substrings for a word pilemoru 
Future 
studies 
• How do learners deal with overt evidence of an unattested locality type (e.g. 
beyond-transvocalic-only dissimilation/harmony)? 
• Can learners discover (or infer) phonotactic patterns of dissimilation/harmony 
with blocking by intervening segments of certain kinds? 
• What is the appropriate characterization of the “transvocalic” relation? 
Syllable-adjacency? Consonant-tier adjacency? Onset-tier adjacency? 
• Are there restrictions on the set of possible tiers, or on the relationship between 
a tier T and the set of targeted 2-factors (bigrams) on that tier? 
Possible 
theory-­‐internal 
solu-ons 
• Add special versions of CORR constraints that are limited to a CVC 
window (Hansson 2010, Bennett 2013) – resolves ranking paradox for 
transvocalic-only dissimilation 
• Abandon CC-SYLLADJ from CC-Limiter constraint class – removes 
beyond-transvocalic-only dissimilation from the factorial typology 
2. 
Methodology 
Experimental 
design: 
Three 
phases 
Example 
s-muli 
1. Practice: Initial exposure to six CVCV-LV stem-suffix pairs in two tenses 
2. Training:192 triplets with suffix-triggered liquid dissimilation 
• Each of three groups differed only in the stems encountered in training 
Control: No liquids – intended to reveal any underlying biases 
Nontransvocalic: 96 CVCVCV stems, 96 CVLVCV 
Transvocalic: 96 CVCVCV stems, 96 CVCVLV 
3. Testing: Subjects heard a stem followed by two options with the same suffix 
• Choice between liquid harmony vs. disharmony (2AFC task) 
• 32 trials for stems at each of three trigger-target distances (96 total trials) 
• Short- (CVCVLV), Medium- (CVLVCV), and Long-range (LVCVCV) 
➤ 
➤ 
➤ 
➤ 
➤ 
“Past tense” – toke…toke-li; “Future tense” – mebi…mebi-ru 
Stimuli were presented over a set of headphones and repeated aloud 
tikemu…tikemu-li…tikemu-ru; bipobe…bipobe-ru…bipobe-li 
giluko…giruko-li…giluko-ru; norego…nolego-ru…norego-li 
pokuri…pokuri-li…pokuli-ru; depile…depile-ru…depire-li 
dotile…dotile-li or dotire-li; tukiri…tukiri-ru or tukili-ru (Short-range) 
teriti…teliti-ru or teriti-ru; bilegi…bilegi-ru or biregi-ru (Medium-range) 
linode…linode-li or rinode-li; renitu…lenitu-li or renitu-li (Long-range) 
3. 
Results 
and 
analysis 
Mixed-­‐effects 
logis-c 
regression 
• Dependent variable: Was disharmony chosen on a particular trial? 
• Random by-subject intercepts and slopes for disharmony second/faithful 
References Acknowledgements 
Bennett, William. 2013. Dissimilation, consonant harmony, and surface correspondence. Doctoral 
dissertation, Rutgers University. 
Finley, Sara. 2011. The privileged status of locality in consonant harmony. Journal of Memory and 
Language 65:74–83. 
Finley, Sara. 2012. Testing the limits of long-distance learning: learning beyond a three- segment 
window. Cognitive Science 36:740–756. 
Hansson, Gunnar Ólafur. 2010. Consonant harmony: long-distance interaction in phonology. 
Berkeley: University of California Press. 
Hayward, Richard J. 1982. Notes on the Koyra language. Afrika und Übersee 65:211–268. 
Hayward, Richard J. 1990. Notes on the Aari language. In Omotic language studies, ed. R. J. 
Hayward, 425–493. London: School of Oriental and African Studies. 
Heinz, Jeffrey. 2010. Learning long-distance phonotactics. Linguistic Inquiry 41(4): 623–661. 
Heinz, Jeffrey, Chetan Rawal and Herbert G. Tanner. 2011. Tier-based strictly local constraints for 
phonology. Proceedings of the 49th Annual Meeting of the Association for Computational 
Linguistics, pp. 58–64. Association for Computational Linguistics. 
McMullin, Kevin and Gunnar Ólafur Hansson. In press. Locality in long-distance phonotactics: 
evidence for modular learning. To appear in Proceedings of NELS 44, ed. Jyoti Iyer and Leland 
Kusmer. GLSA Publications, University of Massachusetts. 
McNaughton, Robert, and Seymour Papert. 1971. Counter-free automata. Cambridge, MA: MIT 
Press. 
Rose, Sharon, and Rachel Walker. 2004. A typology of consonant agreement as correspondence. 
Language 80:475–531. 
This research was supported by SSHRC Insight Grant 435–2013–0455 to Gunnar Ólafur 
Hansson and a UBC Faculty of Arts Graduate Research Award to Kevin McMullin. Special 
thanks to Carla Hudson Kam and the UBC Language and Learning Lab, as well as to Jeff 
Heinz, Alexis Black, James Crippen, Ella Fund-Reznicek and Michael McAuliffe 
LabPhon 
14, 
NINJAL, 
Tokyo, 
Japan, 
July 
25-­‐27, 
2014 
Unbounded (attested) 
/CVrV-rV/ CC-SYLLADJ CC-EDGE CORR-[Rhotic] IDENT[lat]-IO 
! a. CV.lxV-ryV * 
b. CV.rxV-rxV * W L 
c. CV.rxV-ryV * W L 
/rVCV-rV/ CC-SYLLADJ CC-EDGE CORR-[Rhotic] IDENT[lat]-IO 
! a. lxV.CV-ryV * 
b. rxV.CV-rxV * W * W L 
c. rxV.CV-ryV * W L 
Transvocalic (attested): RANKING PARADOX 
/CVrV-rV/ CORR-[Rhotic] CC-EDGE IDENT[lat]-IO CC-SYLLADJ 
! a. CV.lxV-ryV * 
b. CV.rxV-rxV * W L 
c. CV.rxV-ryV *! W L 
/rVCV-rV/ CORR-[Rhotic] CC-EDGE IDENT[lat]-IO CC-SYLLADJ 
a. lxV.CV-ryV L * W L 
" b. rxV.CV-rxV *! * 
c. rxV.CV-ryV *! W L L 
Beyond-transvocalic-only (unattested?) 
/CVrV-rV/ CC-SYLLADJ CORR-[Rhotic] IDENT[lat]-IO CC-EDGE 
a. CV.lxV-ryV *! W L 
! b. CV.rxV-rxV * 
c. CV.rxV-ryV *! W L 
/rVCV-rV/ CC-SYLLADJ CORR-[Rhotic] IDENT[lat]-IO CC-EDGE 
! a. lxV.CV-ryV * 
b. rxV.CV-rxV *! W L * W 
c. rxV.CV-ryV *! W L 
Type of test item (trigger-target distance) 
Short-range Medium-range Long-range 
Nontransvocalic 
vs. Control 
4.11 
p < 0.001 
3.19 
p < 0.001 
1.49 
p ≈ 0.236 
Transvocalic 
vs. Control 
8.75 
p < 0.001 
1.39 
p ≈ 0.292 
0.83 
p ≈ 0.539 
Table of Odds Ratios comparing disharmony choices between experimental and 
control groups after releveling the mixed logit model at each testing distance. 
Coefficient Estimate SE Pr(>|z|) 
Intercept –0.7090 0.2704 0.009 
Disharmony second –0.6089 0.1205 <0.001 
Disharmony faithful 2.2224 0.3318 <0.001 
Medium-range –0.0459 0.1837 0.803 
Long-range 0.1887 0.1827 0.302 
Nontransvocalic 1.4132 0.3414 <0.001 
Nontransvocalic × Medium-range –0.2508 0.2656 0.345 
Nontransvocalic × Long-range –1.0195 0.2631 <0.001 
Transvocalic 2.1695 0.3309 <0.001 
Transvocalic × Medium-range –1.8385 0.2742 <0.001 
Transvocalic × Long-range –2.3643 0.2753 <0.001 
Summary of the fixed effects portion of the logit mixed model (N = 3404; 
log-likelihood = –1666.9; baseline level of unfaithful disharmony being 
chosen by the Control group in the first item of a Short-range trial) 
Regular 
languages 
Locally 
Testable 
Tier-­‐based 
Strictly 
Local 
Strictly 
Piecewise 
Star-­‐Free 
Locally 
Threshold 
Testable 
Strictly 
Local 
Piecewise 
Testable 
Figure illustrating the subregular hierarchy (McNaughton & Papert 1971, 
Heinz et al. 2011; see also Heinz 2010, Rogers & Pullum 2011). 
vowels T = {i, e,o,u} pilemoru 
consonants T = {p, l,m, r} pilemoru 
liquids T = {l, r} pilemoru 
arbitrary T = {o, l,m, p} pilemoru 
Short-range 
(cvcvLv-Lv) 
Medium-range 
(cvLvcv-Lv) 
Long-range 
(Lvcvcv-Lv) 
Locality levels (test-item types) 
Proportion disharmony responses ([r…l] or [l…r]) 
0.00 0.25 0.50 0.75 1.00 
Nontransvocalic group Control group Transvocalic group Locality ABC? TSL2? Formal properties 
Unbounded ✔ ✔ 
TSL2 for T = {l, r} (all liquids) 
Bigram restrictions: {*ll,*rr} 
Transvocalic ✗ ✔ 
TSL2 for T = {C, l, r} (all consonants) 
Bigram restrictions: {*ll,*rr} 
Beyond-transvocalic-only 
✔ ✗ 
Not TSLk for any value of T or k 
If T = {C, l, r} then for any banned k-factor r Cn r (with 
k = n+2), the longer r Cn+1 r must also be banned. 
If T = {l, r}, then k relates to the number of liquids in 
the word, not their distance from each other.

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Inductive learning of long-distance dissimilation as a problem for phonology

  • 1. Induc<ve learning of long-­‐distance dissimila<on as a problem for phonology 1. Background Kevin McMullin and Gunnar Ólafur Hansson University of Bri-sh Columbia Consonant harmony Ar-ficial language learning (harmony) • Two consonants must agree for some feature value • Two attested variants of locality (Rose & Walker 2004, Hansson 2010) 1. Unbounded harmony holds at any distance within the relevant domain 2. Transvocalic harmony applies across at most one vowel Illustration of the typological split in two Omotic languages Unbounded sibilant harmony in Aari (Hayward 1990) a. /baʔ-s-e/ baʔse ‘he brought’ b. /tʃʼa̤ːq-s-it/ tʃʼa̤ːqʃit ‘I swore’ c. /ʃed-er-s-it/ ʃederʃit ‘I was seen’ Transvocalic sibilant harmony in Koyra (Koorete; Hayward 1982) a. /tim-d-osːo/ tindosːo ‘he got wet’ b. /patʃ-d-osːo/ patʃːoʃːo ‘it became less’ c. /ʃod-d-osːo/ ʃodːosːo ‘he uprooted’ • The attested split is mirrored in the results of adult phonotactic learning for sibilants (Finley 2011, 2012) and liquids (McMullin & Hansson in press) …Cv-Cv …Cvcv-Cv Cvcvcv-Cv Unbounded + + + Transvocalic + – – unattested – + – unattested – + + unattested + + – Ques-ons • Do humans learn and generalize long-distance consonant dissimilation in the same way as harmony? • How do these biases relate to learnability and formal complexity? 4. Discussion (Dis)Agreement by (Non)Correspondence Formal-­‐computa-onal perspec-ve • CORR constraints induce a surface correspondence relation (C↔C) on co-occurring segments that are sufficiently similar • “CC-Limiter” constraints impose conditions on corresponding segments (e.g. agreement in some additional [F], structural relations) CORR-[Rhotic] (Bennett 2013) If two co-occurring consonants are both [Rhotic], they must stand in C↔C correspondence (indicated by subscript indices). CC-EDGE(morpheme) (Bennett 2013) Segments in C↔C correspondence must be tautomorphemic. CC-SYLLADJ (Bennett 2013; cf. PROXIMITY in Rose & Walker 2004) Segments in C↔C correspondence must be in the same or adjacent syllables (slightly simplified definition). • Inability to enforce CC-Limiter demands may trigger dissimilation as a repair (avoiding the need for C↔C correspondence) • Languages can be considered stringsets whose phonotactics can be modeled with a formal grammar that identifies (un)grammatical strings (words) • Complexity of a phonotactic pattern can be assessed based on its membership in certain well-defined classes of formal languages (e.g. subregular languages) Strictly Local languages (SL) • Not computationally complex, defined in terms of k-factors (n-grams) • Learnable in the limit from positive data for any fixed k (Heinz 2010) • Bounded co-occurrence restrictions are Strictly Local e.g. Transvocalic liquid dissimilation is SL3: *rVr, but rV…Vr is permitted • Unbounded co-occurrence restrictions are not SLk (they hold at length k+1) Tier-based Strictly Local languages (TSL; Heinz et al. 2011) • Properly include the SL languages • Defined in terms of k-factors amongst a subset of the inventory (tiers) • Tiers can be defined in terms of features, natural classes, or arbitrarily Examples of tier-based substrings for a word pilemoru Future studies • How do learners deal with overt evidence of an unattested locality type (e.g. beyond-transvocalic-only dissimilation/harmony)? • Can learners discover (or infer) phonotactic patterns of dissimilation/harmony with blocking by intervening segments of certain kinds? • What is the appropriate characterization of the “transvocalic” relation? Syllable-adjacency? Consonant-tier adjacency? Onset-tier adjacency? • Are there restrictions on the set of possible tiers, or on the relationship between a tier T and the set of targeted 2-factors (bigrams) on that tier? Possible theory-­‐internal solu-ons • Add special versions of CORR constraints that are limited to a CVC window (Hansson 2010, Bennett 2013) – resolves ranking paradox for transvocalic-only dissimilation • Abandon CC-SYLLADJ from CC-Limiter constraint class – removes beyond-transvocalic-only dissimilation from the factorial typology 2. Methodology Experimental design: Three phases Example s-muli 1. Practice: Initial exposure to six CVCV-LV stem-suffix pairs in two tenses 2. Training:192 triplets with suffix-triggered liquid dissimilation • Each of three groups differed only in the stems encountered in training Control: No liquids – intended to reveal any underlying biases Nontransvocalic: 96 CVCVCV stems, 96 CVLVCV Transvocalic: 96 CVCVCV stems, 96 CVCVLV 3. Testing: Subjects heard a stem followed by two options with the same suffix • Choice between liquid harmony vs. disharmony (2AFC task) • 32 trials for stems at each of three trigger-target distances (96 total trials) • Short- (CVCVLV), Medium- (CVLVCV), and Long-range (LVCVCV) ➤ ➤ ➤ ➤ ➤ “Past tense” – toke…toke-li; “Future tense” – mebi…mebi-ru Stimuli were presented over a set of headphones and repeated aloud tikemu…tikemu-li…tikemu-ru; bipobe…bipobe-ru…bipobe-li giluko…giruko-li…giluko-ru; norego…nolego-ru…norego-li pokuri…pokuri-li…pokuli-ru; depile…depile-ru…depire-li dotile…dotile-li or dotire-li; tukiri…tukiri-ru or tukili-ru (Short-range) teriti…teliti-ru or teriti-ru; bilegi…bilegi-ru or biregi-ru (Medium-range) linode…linode-li or rinode-li; renitu…lenitu-li or renitu-li (Long-range) 3. Results and analysis Mixed-­‐effects logis-c regression • Dependent variable: Was disharmony chosen on a particular trial? • Random by-subject intercepts and slopes for disharmony second/faithful References Acknowledgements Bennett, William. 2013. Dissimilation, consonant harmony, and surface correspondence. Doctoral dissertation, Rutgers University. Finley, Sara. 2011. The privileged status of locality in consonant harmony. Journal of Memory and Language 65:74–83. Finley, Sara. 2012. Testing the limits of long-distance learning: learning beyond a three- segment window. Cognitive Science 36:740–756. Hansson, Gunnar Ólafur. 2010. Consonant harmony: long-distance interaction in phonology. Berkeley: University of California Press. Hayward, Richard J. 1982. Notes on the Koyra language. Afrika und Übersee 65:211–268. Hayward, Richard J. 1990. Notes on the Aari language. In Omotic language studies, ed. R. J. Hayward, 425–493. London: School of Oriental and African Studies. Heinz, Jeffrey. 2010. Learning long-distance phonotactics. Linguistic Inquiry 41(4): 623–661. Heinz, Jeffrey, Chetan Rawal and Herbert G. Tanner. 2011. Tier-based strictly local constraints for phonology. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp. 58–64. Association for Computational Linguistics. McMullin, Kevin and Gunnar Ólafur Hansson. In press. Locality in long-distance phonotactics: evidence for modular learning. To appear in Proceedings of NELS 44, ed. Jyoti Iyer and Leland Kusmer. GLSA Publications, University of Massachusetts. McNaughton, Robert, and Seymour Papert. 1971. Counter-free automata. Cambridge, MA: MIT Press. Rose, Sharon, and Rachel Walker. 2004. A typology of consonant agreement as correspondence. Language 80:475–531. This research was supported by SSHRC Insight Grant 435–2013–0455 to Gunnar Ólafur Hansson and a UBC Faculty of Arts Graduate Research Award to Kevin McMullin. Special thanks to Carla Hudson Kam and the UBC Language and Learning Lab, as well as to Jeff Heinz, Alexis Black, James Crippen, Ella Fund-Reznicek and Michael McAuliffe LabPhon 14, NINJAL, Tokyo, Japan, July 25-­‐27, 2014 Unbounded (attested) /CVrV-rV/ CC-SYLLADJ CC-EDGE CORR-[Rhotic] IDENT[lat]-IO ! a. CV.lxV-ryV * b. CV.rxV-rxV * W L c. CV.rxV-ryV * W L /rVCV-rV/ CC-SYLLADJ CC-EDGE CORR-[Rhotic] IDENT[lat]-IO ! a. lxV.CV-ryV * b. rxV.CV-rxV * W * W L c. rxV.CV-ryV * W L Transvocalic (attested): RANKING PARADOX /CVrV-rV/ CORR-[Rhotic] CC-EDGE IDENT[lat]-IO CC-SYLLADJ ! a. CV.lxV-ryV * b. CV.rxV-rxV * W L c. CV.rxV-ryV *! W L /rVCV-rV/ CORR-[Rhotic] CC-EDGE IDENT[lat]-IO CC-SYLLADJ a. lxV.CV-ryV L * W L " b. rxV.CV-rxV *! * c. rxV.CV-ryV *! W L L Beyond-transvocalic-only (unattested?) /CVrV-rV/ CC-SYLLADJ CORR-[Rhotic] IDENT[lat]-IO CC-EDGE a. CV.lxV-ryV *! W L ! b. CV.rxV-rxV * c. CV.rxV-ryV *! W L /rVCV-rV/ CC-SYLLADJ CORR-[Rhotic] IDENT[lat]-IO CC-EDGE ! a. lxV.CV-ryV * b. rxV.CV-rxV *! W L * W c. rxV.CV-ryV *! W L Type of test item (trigger-target distance) Short-range Medium-range Long-range Nontransvocalic vs. Control 4.11 p < 0.001 3.19 p < 0.001 1.49 p ≈ 0.236 Transvocalic vs. Control 8.75 p < 0.001 1.39 p ≈ 0.292 0.83 p ≈ 0.539 Table of Odds Ratios comparing disharmony choices between experimental and control groups after releveling the mixed logit model at each testing distance. Coefficient Estimate SE Pr(>|z|) Intercept –0.7090 0.2704 0.009 Disharmony second –0.6089 0.1205 <0.001 Disharmony faithful 2.2224 0.3318 <0.001 Medium-range –0.0459 0.1837 0.803 Long-range 0.1887 0.1827 0.302 Nontransvocalic 1.4132 0.3414 <0.001 Nontransvocalic × Medium-range –0.2508 0.2656 0.345 Nontransvocalic × Long-range –1.0195 0.2631 <0.001 Transvocalic 2.1695 0.3309 <0.001 Transvocalic × Medium-range –1.8385 0.2742 <0.001 Transvocalic × Long-range –2.3643 0.2753 <0.001 Summary of the fixed effects portion of the logit mixed model (N = 3404; log-likelihood = –1666.9; baseline level of unfaithful disharmony being chosen by the Control group in the first item of a Short-range trial) Regular languages Locally Testable Tier-­‐based Strictly Local Strictly Piecewise Star-­‐Free Locally Threshold Testable Strictly Local Piecewise Testable Figure illustrating the subregular hierarchy (McNaughton & Papert 1971, Heinz et al. 2011; see also Heinz 2010, Rogers & Pullum 2011). vowels T = {i, e,o,u} pilemoru consonants T = {p, l,m, r} pilemoru liquids T = {l, r} pilemoru arbitrary T = {o, l,m, p} pilemoru Short-range (cvcvLv-Lv) Medium-range (cvLvcv-Lv) Long-range (Lvcvcv-Lv) Locality levels (test-item types) Proportion disharmony responses ([r…l] or [l…r]) 0.00 0.25 0.50 0.75 1.00 Nontransvocalic group Control group Transvocalic group Locality ABC? TSL2? Formal properties Unbounded ✔ ✔ TSL2 for T = {l, r} (all liquids) Bigram restrictions: {*ll,*rr} Transvocalic ✗ ✔ TSL2 for T = {C, l, r} (all consonants) Bigram restrictions: {*ll,*rr} Beyond-transvocalic-only ✔ ✗ Not TSLk for any value of T or k If T = {C, l, r} then for any banned k-factor r Cn r (with k = n+2), the longer r Cn+1 r must also be banned. If T = {l, r}, then k relates to the number of liquids in the word, not their distance from each other.