INTRODUCING RusDraCor
A TEI-Encoded Russian Drama Corpus
for the Digital Literary Studies
Frank Fischer · Tatyana Orlova · German Palchikov
Irina Pavlova · Daniil Skorinkin · Natasha Tyshkevich
(Higher School of Economics, Moscow)
This presentation: dlina.github.io/presentations/2017-spb/
Corpora 2017 · St. Petersburg/RU · 29 June 2017
TOC
- Introduction
- Corpus Creation
- Extracting Structural Data
- Analytics
- Bibliography and Acknowledgements
1. Introduction
Who We Are
- NUG (Nauchno-Uchebnaya Gruppa) on Digital Literary Studies at the Centre for Digital Humanities at HSE, Moscow
- members: Nika Faynberg, Frank Fischer, Matvey Kolbasov, Svetlana Laschuk, Kirill Mazur, Tatyana Orlova, German Palchikov, Irina Pavlova, Ivan Pozdniakov, Evgeniya Shlosman, Daniil Skorinkin, Natasha Tyshkevich
Objective
- create and maintain a corpus of Russian-language drama from the middle of the 18th to the first third of the 20th century
- XML-based markup standard TEI (Text Encoding Initiative)
- focus on extra-linguistic, structural annotations, especially social relations
- main goal: a large-scale social network analysis of literary (dramatic) texts ("distant reading")
- "producing an appropriately historicized object for data-rich analysis is itself a critical and interpretive enterprise" (Bode 2017)
2. Corpus Creation
Other Drama Corpora in TEI
- "Théâtre Classique": 930 plays from the 17th and 18th century
- "Shakespeare His Contemporaries": 510 plays from the Shakespeare era, cf. Mueller 2014
- DLINA corpus: 465 German-language plays from 1730 till 1930, cf. Fischer et al. 2016
- Dramawebben: 62 Swedish plays
RusDraCor Guidelines
- converting existing digitisations of texts (ilibrary, Wikisource, ФЭБ, …)
- modern orthography
- no downstream fixes of spelling mistakes or the likes (our main focus is structural, not philological): if we find mistakes, we try to get them fixed upstream, if at all
- published under a Creative Commons license
- participation welcome: if you want to add annotation layers, be our guest
RusDraCor Corpus Metrics
- 66 plays to date (29 June 2017) – our goal while growing the corpus is to increase representativeness
- <text>: 2,383,325 tokens
- <sp>: 2,027,528 tokens
- <stage> directions: 87,357
- <persName>: 998
- male characters: 726
- female characters: 219
- rest are uncertain or groups ("Народ", "Голоса")
Get the Corpus
svn export https://github.com/dracor-org/rusdracor/trunk/tei
- 66 files in TEI-XML (~ 10,2 MB)
- there will be more in the second half of 2017 and onward
3. Extracting Structural Data
Our Approach to
Literary Network Analysis (1)
- following older structuralist approaches in Literary Studies (Barthes 1972, Lotman 1977, Titzmann 1977), but automatising our data collection
- long-term objective: provide data to describe the structure and evolution of different compositional types of plays
Our Approach to
Literary Network Analysis (2)
- network data = interactions between characters
- operationalisation of 'interaction': "Two characters interact with one another if they perform a speech act within the same segment of a drama (usually a 'scene')." (following an idea of Solomon Marcus, "Poetica matematică", 1970)
Extract from Pushkin's "Boris Godunov"
(…)
<text>
<front>
<docTitle>
<titlePart type="main">Борис Годунов</titlePart>
</docTitle>
<div type="dedication">
<p>Драгоценной для россиян памяти Николая Михайловича
Карамзина сей труд, гением его вдохновенный, с
благоговением и благодарностию посвящает</p>
<p>Александр Пушкин</p>
</div>
</front>
<body>
<div type="scene">
<head>КРЕМЛЕВСКИЕ ПАЛАТЫ</head>
<stage>(1598 года, 20 февраля)</stage>
<stage>Князья Шуйский и Воротынский. </stage>
<sp who="#Vorotynskij">
<speaker>Воротынский</speaker>
<l>Наряжены мы вместе город ведать,</l>
<l>Но, кажется, нам не за кем смотреть:</l>
<l>Москва пуста; вослед за патриархом</l>
<l>К монастырю пошел и весь народ.</l>
<l>Как думаешь, чем кончится тревога?</l>
</sp>
<sp who="#Shujskij">
<speaker>Шуйский</speaker>
<l>Чем кончится? Узнать немудрено:</l>
<l>Народ еще повоет да поплачет,</l>
<l>Борис еще поморщится немного,</l>
<l>Что пьяница пред чаркою вина,</l>
<l>И наконец по милости своей</l>
<l>Принять венец смиренно согласится,</l>
<l>А там — а там он будет нами править</l>
<l part="I">По-прежнему.</l>
</sp>
(…)
(encoded in TEI)
Network Graph for "Boris Godunov"
(extracted with our TEI2CSV converter, visualised in Gephi)
4. Analytics
Network Sizes
Network Densities
Ostrovskiy's "Groza": Annotated List of Speakers
(…)
<particDesc>
<listPerson>
<person xml:id="Kuligin" sex="MALE">
<persName>Кулигин</persName>
</person>
<person xml:id="Kudrjash" sex="MALE">
<persName>Кудряш</persName>
</person>
<person xml:id="Shapkin" sex="MALE">
<persName>Шапкин</persName>
</person>
<person xml:id="Dikoj" sex="MALE">
<persName>Дикой</persName>
</person>
<person xml:id="Boris" sex="MALE">
<persName>Борис</persName>
</person>
<person xml:id="Feklusha" sex="FEMALE">
<persName>Феклуша</persName>
</person>
<person xml:id="Kabanova" sex="FEMALE">
<persName>Кабанова</persName>
</person>
<person xml:id="Kabanov" sex="MALE">
<persName>Кабанов</persName>
</person>
<person xml:id="Varvara" sex="FEMALE">
<persName>Варвара</persName>
</person>
<person xml:id="Katerina" sex="FEMALE">
<persName>Катерина</persName>
</person>
<person xml:id="Barynja" sex="FEMALE">
<persName>Барыня</persName>
</person>
<person xml:id="Glasha" sex="FEMALE">
<persName>Глаша</persName>
</person>
<person xml:id="Pervyj_dejstvije_4" sex="MALE">
<persName>1-й (Действие четвертое)</persName>
</person>
<person xml:id="Vtoroj_dejstvije_4" sex="MALE">
<persName>2-й (Действие четвертое)</persName>
</person>
<person xml:id="Zhenschina" sex="FEMALE">
<persName>Женщина (Действие четвертое)</persName>
</person>
<person xml:id="OdinIzNaroda" sex="MALE">
<persName>Один из народа (Действие пятое)</persName>
</person>
<person xml:id="NeskolkoGolosov" sex="UNKNOWN">
<persName>Несколько голосов (Действие пятое)</persName>
</person>
<person xml:id="Drugoj" sex="MALE">
<persName>Другой из народа (Действие пятое)</persName>
</person>
<person xml:id="Tretij" sex="MALE">
<persName>Третий (Действие пятое)</persName>
</person>
<person xml:id="Pervyj_dejstvije_5" sex="MALE">
<persName>1-й</persName>
</person>
<person xml:id="Vtoroj_dejstvije_5" sex="MALE">
<persName>2-й</persName>
</person>
<person xml:id="OdinIzVozvrativshihsja" sex="MALE">
<persName>Один из возвратившихся (Действие пятое)</persName>
</person>
<person xml:id="DrugojIzVozvrativshihsja" sex="MALE">
<persName>Другой из возвратившихся (Действие пятое)</persName>
</person>
</listPerson>
</particDesc>
(…)
(extract from TEI file, making use of <particDesc> element)
Distribution of Speech Acts By Gender
RusDraCor Showcase
https://rusdracor.shinyapps.io/showcase/ (by Ivan Pozdniakov)
5. Bibliography and Acknowledgements
Bibliography
- Fischer, F.; Göbel, M.; Kampkaspar, D.; Trilcke, P.: Theatre Plays as 'Small Worlds'? Network Data on the History and Typology of German Drama, 1730–1930. DH2016, Kraków. URL: http://dh2016.adho.org/abstracts/360.
- Glorieux, F.: Dramagraphie 0.2. Online source, April 4th, 2016. URL: http://resultats.hypotheses.org/749.
- Moretti, F.: Network Theory, Plot Analysis. New Left Review 68 (2011), 80–102.
- Mueller, M.: Shakespeare His Contemporaries: Collaborative Curation and Exploration of Early Modern Drama in a Digital Environment. Digital Humanities Quarterly. 8.3 (2014).
- Schöch, C.; Henny, U.; Calvo Tello, J.: cligs/textbox: Spring is coming release. Data set, Zenodo, March 10 th , 2017. URL: http://doi.org/10.5281/zenodo.376666.
- Xanthos, A. et al.: Visualising the Dynamics of Character Networks. Proceedings, DH2016. Jagiellonian University & Pedagogical University, Kraków, 417–419.
- Yarcho, B. I.: Raspredelenie reci v pjatiaktnoj tragedii (K voprosu o klassicizme i romantizme). Primecanija M. V. Akimovoj; s predisloviem M. I. Šapira. Philologica 4, 8/10 (1997); 201–288.
Acknowledgements
This talk was prepared within the framework of the Academic Fund Program at the National Research University Higher School of Economics (HSE) in 2017–2018 (grant No 17-05-0054) and by the Russian Academic Excellence Project "5-100".
INTRODUCING RusDraCor
A TEI-Encoded Russian Drama Corpus for the Digital Literary Studies
Frank Fischer · Tatyana Orlova · German Palchikov Irina Pavlova · Daniil Skorinkin · Natasha Tyshkevich
(Higher School of Economics, Moscow)
This presentation: dlina.github.io/presentations/2017-spb/
Corpora 2017 · St. Petersburg/RU · 29 June 2017