Presentation of: DH Poetry Modelling: a quest for philological and technical standardization at the DH 2016 Conference in Krakow. The presentation is based on the research developed under the ERC project POSTDATA. Authors: Elena González-Blanco Gimena Del Rio Riande Clara Martínez Cantón

1. Elena González-Blanco (egonzalezblanco@flog.uned.es)
Universidad Nacional de Educación a Distancia (UNED), Spain
Gimena Del Rio Riande (gdelrio@conicet.gov.ar)
Seminario de Edición y Crítica Textual (SECRIT-IIBICRIT CONICET),
Argentina
Clara Martínez Cantón (cimartinez@flog.uned.es)
Universidad Nacional de Educación a Distancia (UNED), Spain
DH Poetry Modelling:
a quest for philological and technical
standardization

2. Poetry Modelling. Why?
Why modelling? Repertoires Goal Methodology Next steps

3. Poetry Modelling. Why?
Why modelling? Repertoires Goal Methodology Next steps

4. Poetic features modelled for
the print
Why modelling? Repertoires Goal Methodology Next steps

5. Poetic features modelled for
the print
Why modelling? Repertoires Goal Methodology Next steps

6. Poetic features modelled for
digital databases
RPHA - Hungary BedT - Italy Cantigas Oxford
MedDB2 – Galicia Analecta Hymnica LatinNaetebus - France
ReMetCa - Spain Skaldic - Scandinavia Mirabile - Italia
Why modelling? Repertoires Goal Methodology Next steps

7. So much knowledge…
not connected!
Why modelling? Repertoires Goal Methodology Next steps

8. Our goal
Why modelling? Repertoires Goal Methodology Next steps

9. Model based on already existing
digital models for poetry
Latin
poetry
Spanish
poetry
Galician
poetry
Italian
poetry
French
poetry
Occitan
poetry
Why modelling? Repertoires Goal Methodology Next steps

10. Methodology
 Classification of identifying and structuring
fields
 Identification of common fields
 Normalisation of multivalued fields
 Supression of redundant fields
 Supression of non productive fields
Next stepsWhy modelling? Repertoires Goal Methodology

11. Classification of fields
Why modelling? Repertoires Goal Methodology Next stepsWhy modelling? Repertoires Goal Methodology

12. Identification common fields
Masc/Fem
Rhyme
Remetca
Cantigas de
Santa María
Database
Le nouveau
Naetebus
Perfection
of the
rhymeRhyme
Schema
Isometrism
Refrain
Metrical
schema
Isostrophism
Why modelling? Repertoires Goal Methodology Next steps

13. Identification of common fields
Poem
a b b a c d d c –
ores -on -erra -anc,a
8 am|or|es am|or am|or|es
?8 7 cam|in|o de perd|ic|ion
?8 7 mart|ir|io sin gual|ard|on
8 de los trist|es am|ad|or|es
8 llen|os son mar|es e tierr|a
d 8 de tu cru/el esp|er|anc|a
h 8 qi/en en ti a conf|ianc|a
8 a tod|a sant|id|ad yerr|a
Esquema rimático
abababba
schema_rimico
-a b a b a a b b -
Next stepsWhy modelling? Repertoires Goal Methodology
Repertorio Métrico
Digital de la Poesía
Cancioneril del Siglo XV
(Ana María Gómez Bravo)
BedT: Bibliografia
Elettronica dei Trovatori
MedDB: Base de
datos da Lírica
Galego-Portuguesa

14. Syllable scansion
Rhyme Schema
Ends of rhymes
Number of syllable per verse
Normalisation
of multivalued fields
Poem
a b b a c d d c –
ores -on -erra -anc,a
8 am|or|es am|or am|or|es
?8 7 cam|in|o de perd|ic|ion
?8 7 mart|ir|io sin gual|ard|on
8 de los trist|es am|ad|or|es
8 llen|os son mar|es e tierr|a
8 de tu cru/el esp|er|anc|a
8 qi/en en ti a conf|ianc|a
8 a tod|a sant|id|ad yerr|a
Next stepsWhy modelling? Repertoires Goal Methodology

15. Supression of redundant fields
Syllable Signature
1x8@8
Poem
a b b a c d d c –
ores -on -erra -anc,a
8 am|or|es am|or am|or|es
?8 7 cam|in|o de perd|ic|ion
?8 7 mart|ir|io sin gual|ard|on
8 de los trist|es am|ad|or|es
8 llen|os son mar|es e tierr|a
8 de tu cru/el esp|er|anc|a
8 qi/en en ti a conf|ianc|a
8 a tod|a sant|id|ad yerr|a
Why modelling? Repertoires Goal Methodology Next steps

16. Suppression
of non-productive fields
First Line Second Line Last Line
amores amor
amores
camino de
perdicion
a toda santidad
yerra
Primeiro
verso
Falar quer' eu da
senhor ben
cousida
Senhora, por
amor de Dios
Luis Vaasquez,
depois que parti
Desejoso muy
sobejo
Mia senhor, quen
me vos guarda
incipit
Vilans dic
qu'es de
sen
eissitz_
Why modelling? Repertoires Goal Methodology Next stepsWhy modelling? Repertoires Goal Methodology

17. Supression
of non productive fields
First Line Second Line Last Line
amores amor
amores
camino de
perdicion
a toda santidad
yerra
Primeiro
verso
Falar quer' eu da
senhor ben
cousida
Senhora, por
amor de Dios
Luis Vaasquez,
depois que parti
Desejoso muy
sobejo
Mia senhor, quen
me vos guarda
incipit
Vilans dic
qu'es de
sen
eissitz_
Why modelling? Repertoires Goal Methodology Next stepsWhy modelling? Repertoires Goal Methodology

18. Next Step
Standardization to encode each field
Syllable Signature
1x8@8
schema_metrico
-08 08 08 08 08 10 10 10 -
Esquema métrico
10' 10 10' 10 10' 10 10 10 10'
Why modelling? Repertoires Goal Methodology Next steps

19. The end

20. Gimena del Río, CONICET, Argentina
gdelrio.riande@gmail.com
Clara Martínez, UNED
cimartinez@flog.uned.es
Elena González-Blanco, UNED
egonzalezblanco@flog.uned.es