• Aucun résultat trouvé

Number fo systems

N/A
N/A
Protected

Academic year: 2021

Partager "Number fo systems"

Copied!
34
0
0

Texte intégral

(1)

Workshop

Phonological systems and complex adaptive systems

Complexity of phonological inventories:

features & structures

Laboratoire Dynamique Du Langage UMR 5596 CNRS – Université Lumière Lyon 2

Christophe Coupé, Egidio Marsico and François Pellegrino

(2)

Objectives Objectives Objectives Objectives

Find one or several measures allowing to compare the

structure of phonological inventories both quantitatively and qualitatively

Be able to organize all system types according to various indices that may explicate frequencies of distribution

Develop an evolutionary model for phonological inventories

Short term

Mid term

Long term

(3)

Previous work

Attempt to define indices able to monitor the organization of phonological inventories (UPSID) (presented at BLS 2004)

Selected indices:

Basicness

Redundancy

Generativity

Plasticity

Preliminaries: Proposal of indices Preliminaries: Proposal of indicesPreliminaries: Proposal of indices Preliminaries: Proposal of indices

(4)

Basicness Basicness Basicness Basicness

A feature is basic if, when removed from the definition of a segment, the remaining set of features is not a segment

Basicness is defined at the feature level and extended to segments and systems.

0 20 40 60 80 100 120 140 160

0,3 0,4 0,5 0,6 0,7 0,8 0,9 1

Number fo systems

Distribution of languages

according to the proportion of basic segments

% of basic segments in the system

32%

(5)

Redundancy Redundancy Redundancy Redundancy

Redundancy for both vowels and consonants; 115

Redundancy for vowels only; 128 Redundancy for

consonants only;

91

Non redundant Systems; 117 Distribution of redundancy

0 20 40 60 80 100 120 140 160

1 1.05 1.15 1.25 1.35

Redundancy

Numberofsystems

Redundancy for both vowels and consonants; 115

Redundancy for vowels only; 128 Redundancy for

consonants only;

91

Non redundant Systems; 117

Redundancy for both vowels and consonants; 115

Redundancy for vowels only; 128 Redundancy for

consonants only;

91

Non redundant Systems; 117 Distribution of redundancy

0 20 40 60 80 100 120 140 160

1 1.05 1.15 1.25 1.35

Redundancy

Numberofsystems

Distribution of redundancy

0 20 40 60 80 100 120 140 160

1 1.05 1.15 1.25 1.35

Redundancy

Numberofsystems

Mean distance between each segment and its nearest neighbor (in terms of number of features)

Calculated at the system level

(6)

Generativity for vowels Generativity for vowels Generativity for vowels Generativity for vowels

Segments Generativity Derivation degree Frequency (in languages)

voiced high front unrounded 14 0 0.87

voiced low central unrounded 14 0 0.87

voiced higher-mid back rounded 12 0 0.69

voiced high back rounded 11 0 0.82

voiced higher-mid front unrounded 10 0 0.65

voiced lower-mid back rounded 8 0 0.36

voiced lower-mid front unrounded 6 0 0.41

voiced high central unrounded 5 0 0.15

voiced higher-mid front rounded 5 0 0.03

voiced higher-mid central unrounded 5 0 0.04

voiced higher-mid back unrounded 5 0 0.04

voiced mid central unrounded 5 0 0.17

voiced nasalized low central unrounded 5 1 0.18

voiced nasalized high front unrounded 4 1 0.18

voiced high back unrounded 4 0 0.09

voiced lowered-high back rounded 4 0 0.15

voiced low back rounded 4 0 0.04

voiced high front rounded 3 0 0.05

voiced lowered-high front unrounded 3 0 0.16

i a o u e

= Number of segments derived from the basic segment considered

(7)

Generativity for consonants Generativity for consonants Generativity for consonants Generativity for consonants

Segments Generativity Derivation degree Frequency (in languages)

voiceless velar stop 18 0 0.89

voiceless alveolar stop 14 0 0.74

voiceless postalveolar sibilant-affricate 14 0 0.42

voiceless uvular stop 13 0 0.12

voiceless bilabial stop 12 0 0.83

voiced bilabial stop 11 0 0.64

voiced alveolar stop 11 0 0.47

voiceless alveolar sibilant-affricate 11 0 0.24

voiced velar stop 10 0 0.56

voiced bilabial nasal 9 0 0.94

voiceless alveolar sibilant-fricative 9 0 0.73

voiceless uvular non-sibilant-fricative 9 0 0.10

voiceless dental stop 7 0 0.24

voiced velar nasal 7 0 0.53

voiced alveolar trill-or-unspecified 7 0 0.43

voiceless postalveolar sibilant-fricative 7 0 0.41

voiceless velar non-sibilant-fricative 7 0 0.21

voiced alveolar lateral-approximant 7 0 0.69

voiced alveolar nasal 6 0 0.80

(8)

Extension of the notion of generativity to the system level

Take a “lazy” way of evolution into account (reuse of already available segments…)

Plasticity Plasticity Plasticity Plasticity

Nbr of segments vs. Plasticity

y = -3,4848Ln(x) + 18,439 R2 = 0,6155

0 2 4 6 8 10 12

0 20 40 60 80 100 120 140 160

(9)

Plasticity (cont’d) Plasticity (cont’d) Plasticity (cont’d) Plasticity (cont’d)

Are “plastic” systems preferred?

Example for 5-vowel systems:

% of each type x Plasticity

/i e a o u/

R² = 0.7

0,0%

10,0%

20,0%

30,0%

40,0%

50,0%

60,0%

0 10 20 30 40 50 60

Plasticity

Relative Percentage of the type

(10)

Conclusions about indices Conclusions about indicesConclusions about indices Conclusions about indices

Basicness

Full basicness for 32% of the systems

If basicness < 1, regular distribution (though not normal)

Redundancy

MUAF

Feature Economy

Generativity

Linked to the frequency of occurrences for “best –seller” vowels

More complicate (= not understood yet) scheme for consonants

Plasticity

Negatively correlated to the size of systems

Maybe correlated to the frequency of occurrence of systems (?)

(11)

Complexity of Phonological Systems involves (at least):

Intrinsic complexity of the elements (primitives)

Complexity of interactions

Structural complexity

How to characterize the structural complexity?

Networks of interactions

How to take interactions into account ?

Weighting the structure according to the relationship between the constituents

What are the correct primitives?

Features? Segments? Oppositions?

Discussion about the description of segments in phonological systems

How to go further?

How to go further?

How to go further?

How to go further?

(12)

Prune a fully-connected network to only retain relevant links between segments Rely on a feature-based distance:

d(i,e)=1 ; d(i, i:) = 1 ; d(i,u) = 2 ; d(e,u) = 3 ; d(a:, ã) = 2

(secondary features do not get opposed to each others)

A proposal to build phonological graphs A proposal to build phonological graphs A proposal to build phonological graphs A proposal to build phonological graphs

A graph built from a set of segments (and their relations in terms of features) segments = nodes of the graph

Goal:

Method:

Build a network based on oppositions between segments, which translates the relations between basic and derived segments

high – higher mid long – ø front – back rounded - unrounded

front – back rounded – unrounded

high – higher mid

long – ø nasalized - ø

(13)

A proposal to build phonological graphs:

A proposal to build phonological graphs:

A proposal to build phonological graphs:

A proposal to build phonological graphs:

Description of the algorithm Description of the algorithm Description of the algorithm Description of the algorithm

3. For all pairs of segments, remove direct link if it exceeds

the length of the shortest path

i u e: o: a

i 0 2 2 2 2

u 0 2 2 2

e: 0 2 2

o: 0 2

a 0

i u e: o: a

i 0 2 2 2

u 0 2

e: 0 2

o: 0

a 0

i u

a e► o►

i u

a e► o►

i u e: o: a

i 0 2 2 3 2

u 0 4 2 3

e: 0 2 3

o: 0 4

a 0

2. Compute shortest paths for all pairs of segments 1. Compute the

distances for all pairs of segments

length of a path = maximum distance on this path

3 2

3 2

2

2 4 2 4

4

2 2

2 2

2

(14)

Examples of networks Examples of networks Examples of networks Examples of networks

i u

a

e o

è O

i u

i► u►

e► o►

a

i u

a

e o

a†

e† o†

i† u†

i u

a

e o

i u

a

e► o►

(15)

Measuring graph complexity:

Measuring graph complexity:

Measuring graph complexity:

Measuring graph complexity:

Offdiagonal complexity Offdiagonal complexityOffdiagonal complexity Offdiagonal complexity

Claussen, J. C. (2004) Offdiagonal Complexity: A computationally quick complexity measure for graphs and networks. q-bio.MN/0410024.

Principle:

Properties:

- not related to graph size

- sensitive to hierarchical structures

- minimum value for regular graphs, maximum for scale-free networks

- Compute the degrees of the nodes of the graph (=number of connections)

- Fill a matrix M with M(k1,k2) = nb of links between nodes of d° k1 and nodes of d° k2 - Compute the entropy of this distribution (after summation on the minor diagonals):

(16)

Offdiagonal complexity:

Offdiagonal complexity:

Offdiagonal complexity:

Offdiagonal complexity:

Examples Examples Examples Examples

1

4 2

2

1 2 1

1 1

1

4

1 2

1

8

1 1 1

1 1

1

1 1 1

1 1

2

3 2

2

2 3 4 7

2 8 6 0

C = - [

2/16.log(2/16) + 8/16.log(8/16) + 6/16.log(6/16) ] C = 0.974

5 3

3

7 5 1 1 1 C=1.503

C=0.974

(17)

Applying offdiagonal complexity to phonological graphs Applying offdiagonal complexity to phonological graphsApplying offdiagonal complexity to phonological graphs Applying offdiagonal complexity to phonological graphs

Offdiagonal complexity works with non-valued graphs…

Discard the values of the links of the graph (and think to something better later…)

A measure of structural complexity (only)

. Different from the overall complexity of a system . No (a priori) relation with frequencies of types

(18)

Examples of networks Examples of networks Examples of networks Examples of networks

i u

a

C = 0

i u

a

e o

i u

a e► o►

C = 0.64

C = 0.69

i u

a

ï

i u

a e

C = 1.04

C = 1.04

(19)

Examples of networks (cont’d) Examples of networks (cont’d)Examples of networks (cont’d) Examples of networks (cont’d)

i u

a

e o

è O

C = 0.69

C = 0.97

i u

i► u►

e► o►

a

C = 0.69

i u

a

e o

a†

e† o†

i† u†

i u

a

e o

i u

a e► o►

C = 0.64

C = 0.69

(20)

Examples of networks (still cont’d) Examples of networks (still cont’d)Examples of networks (still cont’d) Examples of networks (still cont’d)

Chipewyan C = 0.89

p t

t k

g g

β

ŗ

Rotokas C = 0

i u

a

e o

a†

i† u†

i► u►

i†ĝ i†ĝ

u†►

a†►

a►

(21)

Estimating the phonological structural complexity Estimating the phonological structural complexity Estimating the phonological structural complexity Estimating the phonological structural complexity

of UPSID’s sample of languages (1) of UPSID’s sample of languages (1)of UPSID’s sample of languages (1) of UPSID’s sample of languages (1)

Average complexity for vocalic systems (diphtongs omitted) :

C = 0.79

Average complexity for consonantal systems (clicks omitted for mental sanity reasons):

C = 1.63

Average complexity for random

vocalic systems (diphtongs omitted) (similar size distribution)

C = 1.06 Significantly different: t(450) = 9.85, p << 1

Vowels complexity vs Consonants complexity

R2 = 0,0006

0 0,5 1 1,5 2 2,5 3

0 0,2 0,4 0,6 0,8 1 1,2 1,4 1,6 1,8

Vow els sys tem com plexity

Consonants system complexity

Correlation between vocalic and consonantic structural complexity:

No correlation at all…

(σ = 0.31) (σ = 0.49)

(22)

Estimating the phonological structural complexity Estimating the phonological structural complexity Estimating the phonological structural complexity Estimating the phonological structural complexity

of UPSID’s sample of languages (2) of UPSID’s sample of languages (2) of UPSID’s sample of languages (2) of UPSID’s sample of languages (2)

Europe, W. & S. Asia (71)

E. & S.E. Asia (108)

Africa (74)

N. Am.

(68)

S. & Central Am. (66)

Australia & New Guinea (64)

V 0.90 0.87 0.79 0.73 0.81 0.65

C 1.83 1.61 1.84 1.67 1.51 1.45

Vocalic and consonantic structural complexities across groups:

First tests suggest significant differences between groups

(23)

Discussion DiscussionDiscussion Discussion

about the description of segments about the description of segments about the description of segments about the description of segments

1. Influence of the description

A reduced and an extended feature sets have been defined and tested (with Ian Maddieson)

Comparison of the indices (basicness, etc.) estimated with the 3 feature sets

2. Improving the description

On the notion of segment, consonant and vowel

On the nature of features

(24)

Standard set of features Standard set of featuresStandard set of features Standard set of features

affricate alveolar front high ad-tg-root raised

affricate-lateral bilabial front-back higher-mid advanced raised-low

affricate-trill dental front-central higher-mid-high aspirated raised-low-high

approximant epiglottal central higher-mid-low ejective retracted

click glottal central-back higher-mid-mid glottalized retroflexed

flap labial-palatal central-front high-higher-mid labialized velar-fricated

fricative-flap labial-velar back high-low lateral-release velarized

fricative-trill labiodental back-central high-lower-mid lip-compressed with-breathy-release

implosive palatal back-front high-mid long

lateral-approximant pharyngeal mid nasalized

lateral-flap postalveolar unrounded mid-high nasal-release

lateral-fricative retroflex unrounding mid-lower-mid overshort

nasal uvular rounded low palatalized

non-sibilant-affricate velar rounding lowered-high pharyngealized

non-sibilant-fricative lowered-high-high preaspirated

sibilant-affricate lowered-high-higher-mid preglottalized

sibilant-fricative voiced lower-mid prenasalized

stop voiceless lower-mid-high prestopped

tap breathy-voiced lower-mid-higher-mid

trill-or-unspecified creaky-voiced low-high

narrow-voiceless low-higher-mid low-lower-mid Standard Set

(25)

Reduced set of features Reduced set of featuresReduced set of features Reduced set of features

affricate alveolar front ad-tg-root

approximant bilabial central advanced

click dental back aspirated

flap epiglottal ejective

fricative glottal rounded lateral-release

implosive labiodental unrounded lip-compressed

lateral palatal long

nasal pharyngeal high nasal-release

non-sibilant postalveolar higher-mid overshort

sibilant retroflex mid preaspirated

stop uvular low preglottalized

tap velar lowered-high prenasalized

trill-or-unspecified lower-mid prestopped

voiced raised

voiceless raised-low

breathy-voiced retracted

creaky-voiced velar-fricated

narrow-voiceless with-breathy-release Reduced Set

(26)

Expanded set of features Expanded set of features Expanded set of features Expanded set of features

affricate-click advanced-alveolar palatal-velar-fricated-glottalized unrounded high

affricate-click-nasalized alveolar pharyngeal unrounding higher-mid

affricate-lateral alveolar-glottalized pharyngeal-glottal rounded higher-mid-high

affricate-lateral-click alveolar-labialized pharyngealized rounding higher-mid-low

affricate-lateral-click-nasalized alveolar-palatalized postalveolar higher-mid-mid

affricate-trill alveolar-pharyngealized postalveolar-glottalized high-higher-mid

approximant alveolar-velar-fricated postalveolar-labialized front high-low

approximant-nasalized alveolar-velar-fricated-glottalized postalveolar-palatalized front-back high-lower-mid

click alveolar-velarized postalveolar-velar-fricated front-central high-mid

click-nasalized alveolar-velarized-glottalized postalveolar-velarized central mid

flap bilabial preaspirated-voiceless central-back mid-high

flap-nasalized bilabial-labialized preglottalized-voiced central-front mid-lower-mid

fricative-flap bilabial-labialized-velarized retroflex back low

fricative-trill bilabial-palatalized uvular back-central lowered-high

implosive bilabial-velarized uvular-labialized back-front lowered-high-high

lateral-approximant bilabial-velarized-labialized uvular-labialized-pharyngealized lowered-high-higher-mid

lateral-approximant-nasalized dental uvular-pharyngealized lower-mid

lateral-flap dental-glottalized velar lower-mid-high

lateral-fricative dental-palatalized velarized lower-mid-higher-mid

nasal dental-pharyngealized velar-labialized low-high

non-sibilant-affricate dental-velar-fricated velar-palatalized low-higher-mid

non-sibilant-fricative dental-velar-fricated-glottalized velar-palatalized-labialized low-lower-mid

prenansalized-sibilant-affricate dental-velarized velar-pharyngealized raised-low

prenasalized-affricate-trill epiglottal raised-low-high

prenasalized-non-sibilant-affricate glottal

prenasalized-non-sibilant-fricative glottal-labialized prenasalized-sibilant-affricate glottal-palatalized prenasalized-sibilant-fricative glottal-pharyngealized

prenasalized-stop labial-palatal voiced

prenasalized-trill-or-unspecified labial-velar voiced-aspirated ad-tg-root

prestopped-lateral-approximant labial-velar-labialized voiced-ejective advanced

sibilant-affricate labiodental voiceless lip-compressed

sibilant-fricative labiodental-labialized voiceless-aspirated long

stop labiodental-palatalized voiceless-ejective nasalized

stop-lateral-release palatal voiceless-with-breathy-release overshort

stop-nasal-release palatal-glottalized breathy-voiced raised

tap palatal-labialized creaky-voiced retracted

trill-or-unspecified palatal-velar-fricated narrow-voiceless retroflexed

Expanded Set

(27)

Strong correlations between the indices estimated with the 3 feature sets

Should we use a unified frame to describe Consonants &

Vowels?

Features are not equivalent in the current description

Dynamical information (affricate, …)

Complex information (lateral,…)

Should we use an explicitly dynamical description?

Influence of the description: Conclusion Influence of the description: ConclusionInfluence of the description: Conclusion Influence of the description: Conclusion

One step ahead: revisiting features and segments One step ahead: revisiting features and segmentsOne step ahead: revisiting features and segments One step ahead: revisiting features and segments

(28)

Intuitively, it seems reasonable to consider that vowels and consonants should be described with the same set of features.

Even though they might play different roles in speech, yet they’re produced with same vocal tract and under the same physical

constraints.

We could define any speech sound as the result of a laryngeal

event (source) and a supra-laryngeal one (filter), along with a time dimension to instantiate these events.

The laryngeal event only has to be characterized on its “how” part (mode), whereas the supra-laryngeal one also needs a “where” part (place).

Something like this…

What is a segment?

What is a segment?What is a segment?

What is a segment?

(29)

New description settings New description settingsNew description settings New description settings

Basic elements: LS=Laryngeal Settings, FM=Filter Mode, FP=Filter place

LS FM FP

[p] voiceless closure bilabial [i] voiced high open palatal

[y] voiced high open labio-palatal

(30)

Time dimension Time dimension Time dimension Time dimension

Onset

[ts] voiceless voiceless voiceless closure closure constriction alveolar alveolar alveolar

Steady

State Offset

LS FM

FP

[pj] voiceless voiceless voiced closure closure near open bilabial bilabial palatal LS

FM FP

(31)

Revised features Revised features Revised features Revised features

One unique set of features for both consonants and vowels => need to modify the current classical features

Proposition

Constriction scale for mode of articulation (from closure to open)

Nasalization: nasalized for both vowels and consonants

Rounding is considered as a second place of articulation

(32)

(numerous) Problems (numerous) Problems (numerous) Problems (numerous) Problems

Laterals, rhotics, nasal consonants, prenasalized stops, secondary articulations…

All this is an attempt to characterize segments though their cognitive relevance is still at stakes

Segments as emergent properties (by-products)?

…If we get rid of the notion of segments then what is the

meaning of phonological inventories?

(33)

Structural complexity

Structural comparison of graphs (with ABSURDIST algorithm) structural distances between systems

Approach based on graph theory and indices (feature, segment and system levels)

Necessity to evaluate this measurement

Complexity of interactions

Possible transformation from segments to contrasts

From segment graphs to feature graphs or oppositions graphs

Intrinsic complexity of the elements (primitives)

Proposition of a dynamic and unified descriptive set of features

Perspectives PerspectivesPerspectives Perspectives

(34)

T

H A

N K

Y O

U

Références

Documents relatifs

A general comparison of properties of model reduction techniques from the fields of structural dynamics, numerical mathematics and systems and control was given in Section

Indeed, this fast controllability cost estimate is proved for more general lin- ear elastic systems with structural damping and non-structural controls sat- isfying a

This paper deals with the theoretical aspects concerning linear elastodynamic of a damped structure composed of two main damped substructures perfectly connected through interfaces by

ESH–ESC 2007, Guidelines for the Management of Arterial Hypertension; ESH–ESC 2009, Reappraisal of European guidelines on hypertension management; CHEP, The 2010 Canadian

Note that Lemma 5.6 and Theorem 5.4 together imply that the problem of finding a (connected) safe set is fixed-parameter tractable when parameterized by vertex cover number..

The follow- ing directions of this program are considered: local and global Rankin-Selberg method, Whit- taker and Bessel functors for GSp 4 , categorification and geometric version

In 480 BC, the Persian Empire took its forces under the control of king Xerxes in order to conquer Greece and subjugate its citizens, Xerxes took with him almost two million men

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des