South Caucasian Agreement: Optimization and Lingering...
Transcript of South Caucasian Agreement: Optimization and Lingering...
South Caucasian Agreement: Optimization and
Lingering Mysteries
Steven Foley • UC Santa Cruz
Georgian agreement
• Infamously complex
•Person (π) and number (#) agreement for Subjects and Objects
•Templatic slots, morpheme complementarity
• ‘Inverse agreement’
•Testing ground for many theories (Anderson 1992, Halle & Marantz 1993, Béjar & Rezac 2009, Blix 2016…)
Georgian agreement
•Optimization in morphology (Trommer 2000, Caballero & Inkelas 2013, Foley to appear)
•One way to formalize blocking relationships
•Balancing competing morphological constraints
• Drive to express as many features as possible
• An aversion towards redundancy (multiple exponence)
The dataπ-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
Observation 1: g–
wins out over v–.
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
Observation 2: 3PL
SUBJs don’t get –t.
The data
1SG.OBJ 2SG.OBJ 3SG.OBJ 1PL.OBJ 2PL.OBJ 3PL.OBJ
1SG.SUBJ — g-nax-e v-nax-e — g-nax-e-t v-nax-e
2SG.SUBJ m-nax-e — nax-e gv-nax-e — nax-e
3SG.SUBJ m-nax-a g-nax-a nax-a gv-nax-a g-nax-a-t nax-a
1PL.SUBJ — g-nax-e-t v-nax-e-t — g-nax-e-t v-nax-e-t
2PL.SUBJ m-nax-e-t — nax-e-t gv-nax-e-t — nax-e-t
3PL.SUBJ m-nax-es g-nax-es nax-es gv-nax-es g-nax-es nax-es
π-prefix Stem TAM-suffix #-suffix
v– ‘1.SUBJ’
m– ‘1SG.OBJ’
gv– ‘1PL.OBJ’g– ‘2.OBJ’
nax ‘see’
…–e ‘AOR:1/2’
–a ‘AOR:3SG’
–es ‘AOR:3PL’
…
–t ‘PL’
Observation 3: 1PL
OBJs don’t get –t.
Optimization
• These peculiarities can be explanatorily derived as morphological optimization
• Competing constraints
• MAX[MSF]: Express as many morphosyntactic features as possible
• *MULTIPLEEXPONENCE: Don’t expone a morphosyntactic feature more than once
Optimization
MAX[MSF] is the morphological throttle.
Input: (s)he saw you.PL MAX[MSF]
☞a. g-nax-a-t
b. g-nax-a-t w
c. g-nax-a-t w
d. g-nax-a-t w
Optimization
But there are cases where we need brakes, too.
*MultExp prevents morphological redundancy.
Input: (s)he saw us MAX[MSF]
a. gv-nax-a-t
b. gv-nax-a-t w
c. gv-nax-a-t w
d. gv-nax-a-t w
Optimization
But there are cases where we need brakes, too.
*MULTEXP prevents morphological redundancy.
Input: (s)he saw us *MULTEXP MAX[MSF]
a. gv-nax-a-t W L
☞b. gv-nax-a-t
c. gv-nax-a-t w
d. gv-nax-a-t w w
Optimization
But there are cases where we need brakes, too.
*MULTEXP prevents morphological redundancy.
Input: (s)he saw us *MULTEXP MAX[MSF]
a. gv-nax-a-t W L
☞b. gv-nax-a-t
c. gv-nax-a-t w
d. gv-nax-a-t w w
✓Observation 3:
1PL OBJs don’t get –t.
Optimization
But there are cases where we need brakes, too.
*MULTEXP prevents morphological redundancy.
Input: they saw me *MULTEXP MAX[MSF]
a. m-nax-es-t W L
☞b. m-nax-es-t
c. m-nax-es-t w w
d. m-nax-es-t w
Optimization
But there are cases where we need brakes, too.
*MULTEXP prevents morphological redundancy.
Input: they saw me *MULTEXP MAX[MSF]
a. m-nax-es-t W L
☞b. m-nax-es-t
c. m-nax-es-t w w
d. m-nax-es-t w
✓Observation 2: 3PL
SUBJs don’t get –t.
Optimization
However, multiple exponence does occur!
Input: I saw him/her *MULTEXP MAX[MSF]
a. v-nax-e W L
b. v-nax-e
c. v-nax-e
Optimization
However, multiple exponence does occur!
MAX[π]: Express as many person features as possible
Input: I saw him/her MAX[π] *MULTEXP MAX[MSF]
☞a. v-nax-e
b. v-nax-e W L W
c. v-nax-e W L W
Optimization
This simple constraint interaction captures (almost) all of the agreement system
Input: I saw you MAX[π] *MULTEXP MAX[MSF]
a. v-nax-e W
☞b. g-nax-e
Optimization
This simple constraint interaction captures (almost) all of the agreement system
Input: I saw you MAX[π] *MULTEXP MAX[MSF]
a. v-nax-e W
☞b. g-nax-e
✓Observation 1:
g– wins out over v–.
Interim conclusion
•New perspective on Georgian agreement
•Permitting vs blocking multiple exponence
•Morphology in general
• Optimizing exponence: more explanatory analyses
• Sleeker grammar: post-syntactic operations less (not?) necessary
• Parallels to OT phonology: conspiracies, Emergence of the Unmarked, positional faithfulness
Lingering questions
Tricky South Caucasian agreement phenomena
•3PL marking
•Root suppletion & preverb alternations
• Information structure effects
•Person ~ number interaction
Lingering questions
3PL DOs typically don’t trigger number agreement
(1) a. kal-ma bavšv-eb-i nax-awoman-ERG child-PL-NOM see-AOR:3SG
‘The woman saw the children’
b. kal-ma bavšv-eb-i *nax-eswoman-ERG child-PL-NOM *see-AOR:3PL
c. kal-ma bavšv-eb-i *nax-a-twoman-ERG child-PL-NOM *see-AOR:3SG-PL
Lingering questions
Except for some speakers in DAT-subject constructions?
(2) a. kal-s bavšv-eb-i u-qvar-swoman-DAT child-PL-NOM 3.DAT-love-PRES:3SG
‘The woman loves the children’
b. kal-s bavšv-eb-i %u-q var-nanwoman-DAT child-PL-NOM %3.DAT-love-PRES:3PL
‘The woman loves the child’
Lingering questions
Except for some speakers in DAT-subject constructions?
(2) a. kal-s bavšv-eb-i u-qvar-swoman-DAT child-PL-NOM 3.DAT-love-PRES:3SG
‘The woman loves the children’
b. kal-s bavšv-eb-i %u-q var-nanwoman-DAT child-PL-NOM %3.DAT-love-PRES:3PL
‘The woman loves the children’
Lingering questions
Does this extend to the PERF & PLU?
(3) a. kal-s bavšv-eb-i u-nax-av-enwoman-DAT child-PL-NOM 3.DAT-love-TH-PERF:3SG
‘The woman apparently saw the children’
b. kal-s bavšv-eb-i unda e-nax-eswoman-DAT child-PL-NOM MOD APPL-love-PLU:3PL
‘The woman should have seen the children.’
Lingering questions
However, 3PL DOs do trigger PVB & root alternations.
(4) a. monadire-m irem-i mo-kl-ahunter-ERG deer-NOM PVBSG-killSG-AOR:3SG
‘The hunter killed the deer.SG’
b. monadire-m irm-eb-i da-xoc-ahunter-ERG deer-PL-NOM PVBPL-killPL-AOR:3SG
‘The hunter killed the deer.PL’
Lingering questions
However, 3PL DOs do trigger PVB & root alternations.
(4) a. monadire-m irem-i mo-kl-ahunter-ERG deer-NOM PVBSG-killSG-AOR:3SG
‘The hunter killed the deer.SG’
b. monadire-m irm-eb-i da-xoc-ahunter-ERG deer-PL-NOM PVBPL-killPL-AOR:3SG
‘The hunter killed the deer.PL’
Lingering questions
However, 3PL DOs do trigger PVB & root alternations.
(4) a. monadire-m irem-i mo-kl-ahunter-ERG deer-NOM PVBSG-killSG-AOR:3SG
‘The hunter killed the deer.SG’
b. monadire-m irm-eb-i da-xoc-ahunter-ERG deer-PL-NOM PVBPL-killPL-AOR:3SG
‘The hunter killed the deer.PL’
Lingering questions
However, 3PL DOs do trigger PVB & root alternations.
(4) a. monadire-m irem-i mo-kvl-ahunter-ERG deer-NOM PVBSG-killSG-AOR:3SG
‘The hunter killed the deer.SG’
b. monadire-m irm-eb-i da-xoc-ahunter-ERG deer-PL-NOM PVBPL-killPL-AOR:3SG
‘The hunter killed the deer.PL’
Is this agreement?
Lingering questions
Apparently 3PL.DATs can trigger –t… but not if there’s a 1/2 person.
(5) a. man mat is mi-s-c-a-(%t)3SG.ERG 3PL.DAT 3SG.NOM PVB-3.IO-give-AOR:3SG-(%PL)
‘S/he gave it to them’
b. me mat is mi-v-ec-i-(*t)1SG.ERG 3PL.DAT 3SG.NOM PVB-1.SUBJ-give-AOR:1/2-(*PL)
‘I gave it to them’
Lingering questions
Apparently 3PL.DATs can trigger –t… but not if there’s a 1/2 person.
(5) a. man mat is mi-s-c-a-(%t)3SG.ERG 3PL.DAT 3SG.NOM PVB-3.IO-give-AOR:3SG-(%PL)
‘S/he gave it to them’
b. me mat is mi-v-ec-i-(*t)1SG.ERG 3PL.DAT 3SG.NOM PVB-1.SUBJ-give-AOR:1/2-(*PL)
‘I gave it to them’
Lingering questions
This extends to 3PL.DAT SUBJs.
(5) a. bavšv-eb-s kal-i u-qvar-tchild-PL-DAT woman-NOM 3.DAT-love-PL
‘The children love the woman’
a. bavšv-eb-s šen u-q var-xar-(*t)child-PL-DAT 2SG 3.DAT-love-PRES.2-(*PL)
‘The children love you’
Lingering questions
Though Nash (p.c.) suggests the picture may be more complicated — information structure effects?
(6) ici ninos da datos velaparake gušin da mivxvdi, rom sektemberši…‘You know, I talked to Nino and Dato yesterday and I realized that in Sept…’
a. … pro3PL pro2SG ar u-nax-i-xar-tNEG 3.DAT-see-TH-PERF.2-PL
‘…[they] didn’t talk to [you]’
b. … magat pro2SG ar u-nax-i-xar-(t)3PL.DAT NEG 3.DAT-see-TH-PERF.2-(PL)
‘…they didn’t talk to [you]’
Lingering questions
Though Nash (p.c.) suggests the picture may be more complicated — information structure effects?
(6) ici ninos da datos velaparake gušin da mivxvdi, rom sektemberši…‘You know, I talked to Nino and Dato yesterday and I realized that in Sept…’
a. … pro3PL pro2SG ar u-nax-i-xar-tNEG 3.DAT-see-TH-PERF.2-PL
‘…[they] didn’t talk to [you]’
b. … magat pro2SG ar u-nax-i-xar-(t)3PL.DAT NEG 3.DAT-see-TH-PERF.2-(PL)
‘…they didn’t talk to [you]’
Lingering questions
Info. Struc. affects agreement in Laz, too (Öztürk 2016)
(7) a. si ma g-a-cer-u2SG 1SG 2.OBJ-APPL-believe-PAST:3SGDEF
‘You believe me’
b. si MA v-a-cer-i2SG 1SG 1.SUBJ-APPL-believe-PAST:1
‘You believe ME [not someone else]’
Lingering questions
Info. Struc. affects agreement in Laz, too (Öztürk 2016)
(7) a. si ma g-a-cer-u2SG 1SG 2.OBJ-APPL-believe-PAST:3SGDEF
‘You believe me’
b. si MA v-a-cer-i2SG 1SG 1.SUBJ-APPL-believe-PAST:1
‘You believe ME [not someone else]’
Lingering questions
Some tantalizing observations about π~# interaction
Georgian: 3PL>2PL — no –t!
(8) a. man tkven g-nax-a-t3SG.ERG 2PL 2.OBJ-see-AOR:3PL-PL
‘S/he saw you.PL’
b. mat tkven g-nax-es-(*t)3PL.ERG 2PL 2.OBJ-see-AOR:3PL-(*PL)
‘They saw you.PL
Lingering questions
Some tantalizing observations about π~# interaction
Georgian: 3PL>2PL — no –t!
(8) a. man tkven g-nax-a-t3SG.ERG 2PL 2.OBJ-see-AOR:3PL-PL
‘S/he saw you.PL’
b. mat tkven g-nax-es-(*t)3PL.ERG 2PL 2.OBJ-see-AOR:3PL-(*PL)
‘They saw you.PL
Lingering questions
Some tantalizing observations about π~# interaction
Svan (Palmaitis 1986): The pattern is more general
x saw y 3.OBJ 2SG.OBJ 2PL.OBJ
1SG.SUBJ v-nax-e g-nax-e g-nax-e-t
3SG.SUBJ nax-a g-nax-a g-nax-a-t
1EX.SUBJ v-nax-e-t g-nax-e-t g-nax-e-t
3PL.SUBJ nax-es g-nax-es g-nax-es-∅
Lingering questions
Some tantalizing observations about π~# interaction
Svan (Palmaitis 1986): The pattern is more general
SUBJ>1/2PL or 1/2PL>OBJ → –t3PL>OBJ → –es
(with a few exceptions)
x saw y 3.OBJ 2SG.OBJ 2PL.OBJ
1SG.SUBJ v-nax-e g-nax-e g-nax-e-t
3SG.SUBJ nax-a g-nax-a g-nax-a-t
1EX.SUBJ v-nax-e-t g-nax-e-t g-nax-e-t
3PL.SUBJ nax-es g-nax-es g-nax-es-∅
Lingering questions
Some tantalizing observations about π~# interaction
Svan (Palmaitis 1986): The pattern is more general
x prepares y 3.OBJ 2SG.OBJ 2PL.OBJ
1SG.SUBJ xw-amāre ǰ-amāre-∅ ǰ-amāre
3SG.SUBJ amāre ǰ-amāre ǰ-amāre-x
1EX.SUBJ xw-amāre-d ǰ-amāre-d ǰ-amāre-d
3PL.SUBJ amāre-x ǰ-amāre-x ǰ-amāre-x
x saw y 3.OBJ 2SG.OBJ 2PL.OBJ
1SG.SUBJ v-nax-e g-nax-e g-nax-e-t
3SG.SUBJ nax-a g-nax-a g-nax-a-t
1EX.SUBJ v-nax-e-t g-nax-e-t g-nax-e-t
3PL.SUBJ nax-es g-nax-es g-nax-es-∅
Lingering questions
Some tantalizing observations about π~# interaction
Svan (Palmaitis 1986): The pattern is more general
1/2PL>OBJ → –d3PL>OBJ → –x3SG/PL>1/2PL → –x
x prepares y 3.OBJ 2SG.OBJ 2PL.OBJ
1SG.SUBJ xw-amāre ǰ-amāre-∅ ǰ-amāre
3SG.SUBJ amāre ǰ-amāre ǰ-amāre-x
1EX.SUBJ xw-amāre-d ǰ-amāre-d ǰ-amāre-d
3PL.SUBJ amāre-x ǰ-amāre-x ǰ-amāre-x
Conclusion
Standard Georgian agreement has shaped many morphological and syntactic theories.
But there’s still more to understand—Especially in Laz, Mingrelian, Svan, and non-standard Georgian!
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University of Vienna.Caballero, G., and S. Inkelas. 2013. Word construction: tracing an optimal path
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Palmaitis, M. 1986. Upper Svan: Grammar and Texts. Vilnius.Trommer, J. 2001. Distributed optimality. PhD dissertation, University of Potsdam.