morphosyntactic data phylogenetic analysis of

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Phylogenetic Analysis of Morphosyntactic Data a case study of Negation in Tupí-Guaraní N. Chousou-Polydouri, L. Michael, Z. O’Hagan, N. Gasparini, F. Rose SLE, Leiden 2-5 September 2015 1

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Page 1: Morphosyntactic Data Phylogenetic Analysis of

Phylogenetic Analysis of Morphosyntactic Dataa case study of Negation in Tupí-Guaraní

N. Chousou-Polydouri, L. Michael, Z. O’Hagan, N. Gasparini, F. Rose

SLE, Leiden 2-5 September 20151

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Introduction

○ linguistic phylogenetics mostly based on lexicon□ Gray & Atkinson 2003, Bowern & Atkinson 2012, Bouckaert et al.

2012...

○ with some exceptions based on morphosyntax□ abstract typological features (e.g. Dunn et al. 2005, Danielsen et al.

2011)□ cognate sets of morphemes (e.g. Nakhleh et al. 2005)□ parameters of UG (e.g. Longobardi & Guardiano 2009)

○ no previous use of cognate constructions

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spoken in Amazonia and surrounding regions

Kokama

Omagua

Mawe

Tupinamba

Guaranian languages

Tupí-Guaraní

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Tupí-Guaraní

○ well established subgroup of the Tupí family○ ~45 languages, many extinct or threatened○ previous classifications

□ 8 subgroups (Rodrigues and Cabral 2002)

□ phylogenetic classification based on lexical data (Michael et al. 2015)

□ agreement in most low-level subgroups, different higher structure

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phylogenetic internal classification of Tupí-Guaraní (Michael et al. 2015)

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Tupí-Guaraní

○ much comparative work in morphosyntax□ esp. Jensen 1998, Cabral 2000, 2001, 2007...

○ some reconstructions of morphemes and constructions□ Jensen 1987, 1990, 1997…, Schleicher 1998,

Cabral 2001, Cabral & Rodrigues 2005

○ little use of morphosyntax in classification□ Dietrich 1990, 2009, Schleicher 1998, Rodrigues

& Cabral 20026

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TG Morphosyntactic Comparative Project

○ collaboration between Lyon and Berkeley○ morphosyntactic database (constructions)

□ phylogenetic classification □ comparison with classification based on lexicon□ subsequent work using the comparative method

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TG Morphosyntactic Database

○ 27 TG languages + 2 nonTG Tupí languages

○ Domains:□ Negation, Person Marking, Valency Modifying

Operations, Directives…

○ Constructions organized by functions □ i.e. imperative 2pl, reciprocal object of

postpositions, indexation of 1inclA → 2plP…

○ Method illustration with negation8

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Previous work on TG negation

○ Reconstructions of morphemes in PTG:□ *n-...-i standard negation (Jensen 1998, Schleicher 1998)

□ *-eʔɨm privative (N and dep. verbs) (Jensen 1998), negation of nouns and imperative (Schleicher 1998)

□ *ruã/*ruĩ adverbial negation (and more) (Jensen 1998)

□ *eme negative imperative (Jensen 1998)

□ *ani free negative response (Jensen 1998), free prohibitive (Dietrich 2003)

□ *-c(o)we after -i w/ some TAM (Schleicher 1998)

○ No explicit reconstruction of constructions9

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Negation Dataset

○ 11 functions: standard negation, negative imperative, free prohibitive, denominal privative...

○ not just a list of morphemes, but whole constructions

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Negation Dataset

11PR: person marker

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Negation Dataset

12PR: person marker

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Building cognate sets

○ Cognate = common ancestor□ similarity of form & meaning/function

○ Morpheme cognate sets□ 45 sets□ 20 sets with at least two languages

○ Construction cognate sets□ 23 sets with at least two languages and distinct

from morpheme cognate sets

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*eʔɨm morpheme cognate set

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*eʔɨm morpheme cognate set

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*N-eʔɨm construction cognate set

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*N-eʔɨm construction cognate set

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Character Coding

1. Binary presence-absence coding for both morpheme and construction cognate sets

2. Partially ordered and partially polarized multistate coding for morpheme function.

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state network for function of *eam

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Free Negation “no”

Deverbal Privative

Standard Negation Constituent NegationDenominal Privative

Standard Negation

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3

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○ 43 binary characters total○ 5 multistate function characters

informative for subgrouping

too few characters for building a tree (more data coming...)

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Character Coding

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Ancestral State Reconstruction

○ quantitative technique○ traces evolution of a feature○ reconstructs state of feature at interior

nodes○ uses explicit model of evolution○ typically tree is fixed

□ TG tree based on lexical data (Michael et al. 2015)

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Ancestral State Reconstruction

○ Cognate characters□ maximum likelihood reconstruction□ model: gain vs loss ~1:15 (Bayesian estimate)

○ Morpheme function characters□ parsimony reconstruction□ model: state network

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Results: Morphemes

presence of *ani (morpheme)

probability of presence

Proto-Tupí-Guaraní

nonTG

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presence of *ani (morpheme)

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presence of *eam (morpheme)

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presence of *eam (morpheme)

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Results:PTG morphemes

*-eʔɨm privative *ruã/*ruĩ constituent negation *eme negative imperative*ani free negation *-c(o)we negation with certain TAM

reconstructed at a lower level (subgroup III plus Southern subgroup)

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Results: Constructions

presence of *PRimp-V emePR: person marker

Page 29: Morphosyntactic Data Phylogenetic Analysis of

presence of *PRimp-V eme

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presence of *t-PRind-V eme

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presence of *t-PRind-V eme

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*PR-V eme negative imperative*ta-PR-V eme negative directive*n-PR-N,V-i standard negation

reconstructed as a construction with two affixes, rather than a circumfix

*N-eʔɨm denominal privative

PR: person marker

Results:PTG constructions

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function of *eam33

Results: Functions

Free Negation “no”

Standard Negation

Deverbal Privative

General negator

Page 34: Morphosyntactic Data Phylogenetic Analysis of

Conclusions

○ 6 PTG negators (ani, -eʔɨm, -i, nda-, -ruã, eme) out of 45 cognate sets

○ 5 PTG negative constructions○ many reconstructions: shallow group○ some examples of grammaticalization (e.g.

*eam)○ many cases of functional extension (e.g. -ã

in Siriono)

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Conclusions

○ Phylogenetic methods & morphosyntax:□ morphology already treated just like lexicon□ syntactic data can also be used□ both add information refining the classification

○ ancestral state reconstruction techniques help□ determining where in the tree an element can be

reconstructed□ determining the proto-function of that element

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Page 36: Morphosyntactic Data Phylogenetic Analysis of

Acknowledgements

○ Data harvesters □ K. Bartolomei, N. Chousou-Polydouri, E. Clem, W.

Daviet, N. Gasparini, P. Granado Columba, L. Michael, Z. O’Hagan, F. Rose

○ Additional data contributors□ E-M. Rössler, S. Meira

○ RefLex development and support□ S. Flavier

○ Funding: □ France-Berkeley Fund, Labex ASLAN

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Sources

Aché field notes

Paraguayan Guaraní Guasch1996Kaiowá Cardoso 2008Mbyá Dooley 2006Tapiete Gonzalez 2005Chiriguano Dietrich 1986Guarayu Höller 1932Siriono field notesYuki Villafañe 2004Omagua field notesKokama field notes, Vallejos 2010Tupinambá Lemos Barbosa 1956Tapirapé Praça 2007Tocantins Asuriní Harrison 1975Parakana Silva1999

Avá Canoeiro Borges 2006Tembé Duarte 2007Anambé Juliao 2005Araweté Solano 2009Xingu Asuriní Pereira 2009Kayabí Dobson 88, 97Parintintin Pease 2007[1968]Kamaiurá Seki 2000Wayampí Copin 2012Emerillon Rose 2011Ka'ápor Lopes 2009Guajá Magalhaes 2007Awetí Reiter 2011Mawé Franceschini 1999, field notes

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Higher structure comparison between Rodrigues & Cabral 2002 (on the left) and our TG classification (on the right)

(colors according to the 3 main branches of Rodrigues & Cabral 2002)38

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function of *eme

Neg. Imp. & Neg. Dir. Neg. Imp. Neg. Dir. Neg. Int.MCN & FCN

Tupinamba (Lemos Barbosa 1956:91-92)e-î-pysyk umé2sg.imp-3.P-takeneg.imp‘Don’t take it.’t’ o-î-pysyk umédir 3A-3P-takeneg.dir‘He should not take it !’

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ani PR-V (Negative Directive or Negative Imperative)

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presence of *-c(o)we morpheme

Guarayu (Höller 1932:29)nd-a-mae-i-chi-raneg-1sg-look-neg-neg.fut-nfut‘I will not look’

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*ani (free negation)

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