SlideShare a Scribd company logo
1 of 1
Download to read offline
Automatic Compositor Attribution in the First Folio of Shakespeare
Maria Ryskina*, Hannah Alpert-Abrams†, Dan Garrette‡ and Taylor Berg-Kirkpatrick*

*{mryskina, tberg}@cs.cmu.edu †halperta@gmail.com ‡dhgarrette@google.com
Summary
What is a compositor?
Experiments
We present an unsupervised approach to compositor attribution — clustering the
pages of a historical printed document according to the individual who set the
type. We use the First Folio of Shakespeare (1623) as a test case since it has
been extensively studied by bibliographers. Following the manual work of these
traditional Shakespeare scholars, we perform automatic analysis by modeling the
orthographic preferences and spacing tendencies of compositors, reaching up to
87% agreement with the authoritative attribution.
spelling
variation
spacing variation
medial comma
Model
Compositors are modeled as
latent variables, one per page,
and their orthographic and
spacing choices are modeled by
multinomial distributions.
Basic model variant:
Simple multinomial baseline, only
includes word-level spelling
choices. 

Feature model variant:
Includes individual edit operations
as well as word spelling choices,
incorporated using a log-linear
parameterization. Whitespace
lengths are modeled with
separate multinomials for each
compositor.
Analysis
!! ! ! !! ! !
!
!
u o
u w
u DEL!
!! ! ! !! ! !
Comp B Comp AComp C Comp E Comp D
!! ! !
Inspecting the parameters learned by our model reveals habits of individual
compositors that have been noticed by bibliographers (Taylor, 1981).
Learned behaviors
By extending our model with a
non-parametric prior we are
able to additionally learn the
number of compositors.
Depending on the subset of the
vocabulary considered (e.g.
words considered by Hinman
vs. the larger set considered by
Blayney) our non-parametric
m o d e l a g r e e s w i t h t h e
c o r r e s p o n d i n g s c h o l a r s ’
judgement.
Number of compositors
One-to-oneaccuracy
0
20
40
60
80
100
87.3
77.1
58.8
16.7
Random Basic Feature: 

Edit
Feature: 

Edit + Spacing
Manual diplomatic transcription 

(Bodleian library)
0
20
40
60
80
100
85.9
76.1
53.7
16.7
Ocular OCR transcription 

(Berg-Kirkpatrick et al., 2013)
We evaluate by mapping the recovered page clusters to the gold
compositors in the authoritative attribution and measure one-to-one
accuracy. Including orthographic features substantially improves accuracy,
but the best result is obtained by edit and whitespace features combined.
ci
sik
mij
dij
dear
deere
Ki Ji
I
Modern
spelling
Diplomatic
spelling
Spacing
distance
Compositor
C
! !! !! !
Whitespace pref params: ✓c
dear:
deare deerdeere
a ! e
INS ! e
a ! r
a ! DEL
Edit operation weights:
C
Orthographic pref params: wc
Word variant weights:
A compositor is a person who manually arranges and sets type for printing a document. Shakespeare’s First Folio is
believed to have been set by multiple compositors, each with varying degrees of proficiency at accurately
transcribing the original (mostly lost) manuscripts. Bibliographers attribute pages to compositors based on their
spelling choices or visual evidence such as whitespace lengths before and after punctuation.

Random Basic Feature: 

Edit
Feature: 

Edit + Spacing
2
4
6
8
10
0 300 600 900
5
Hinman
8
Blayney
Iterations
Numberofcomps

More Related Content

More from Association for Computational Linguistics

Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...
Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...
Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...Association for Computational Linguistics
 
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...Association for Computational Linguistics
 
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopSatoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopAssociation for Computational Linguistics
 
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...Association for Computational Linguistics
 
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...Association for Computational Linguistics
 
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Association for Computational Linguistics
 
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Association for Computational Linguistics
 
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopSatoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopAssociation for Computational Linguistics
 
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Association for Computational Linguistics
 
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Association for Computational Linguistics
 
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Association for Computational Linguistics
 
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Association for Computational Linguistics
 
Toshiaki Nakazawa - 2015 - Overview of the 2nd Workshop on Asian Translation
Toshiaki Nakazawa  - 2015 - Overview of the 2nd Workshop on Asian TranslationToshiaki Nakazawa  - 2015 - Overview of the 2nd Workshop on Asian Translation
Toshiaki Nakazawa - 2015 - Overview of the 2nd Workshop on Asian TranslationAssociation for Computational Linguistics
 
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT System
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT SystemHua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT System
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT SystemAssociation for Computational Linguistics
 
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Association for Computational Linguistics
 
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Association for Computational Linguistics
 
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...Association for Computational Linguistics
 

More from Association for Computational Linguistics (20)

Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...
Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...
Matthew Marge - 2017 - Exploring Variation of Natural Human Commands to a Rob...
 
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...
Venkatesh Duppada - 2017 - SeerNet at EmoInt-2017: Tweet Emotion Intensity Es...
 
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopSatoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
 
Chenchen Ding - 2015 - NICT at WAT 2015
Chenchen Ding - 2015 - NICT at WAT 2015Chenchen Ding - 2015 - NICT at WAT 2015
Chenchen Ding - 2015 - NICT at WAT 2015
 
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
 
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
John Richardson - 2015 - KyotoEBMT System Description for the 2nd Workshop on...
 
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
 
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
Zhongyuan Zhu - 2015 - Evaluating Neural Machine Translation in English-Japan...
 
Hyoung-Gyu Lee - 2015 - NAVER Machine Translation System for WAT 2015
Hyoung-Gyu Lee - 2015 - NAVER Machine Translation System for WAT 2015Hyoung-Gyu Lee - 2015 - NAVER Machine Translation System for WAT 2015
Hyoung-Gyu Lee - 2015 - NAVER Machine Translation System for WAT 2015
 
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 WorkshopSatoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
Satoshi Sonoh - 2015 - Toshiba MT System Description for the WAT2015 Workshop
 
Chenchen Ding - 2015 - NICT at WAT 2015
Chenchen Ding - 2015 - NICT at WAT 2015Chenchen Ding - 2015 - NICT at WAT 2015
Chenchen Ding - 2015 - NICT at WAT 2015
 
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
 
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
Graham Neubig - 2015 - Neural Reranking Improves Subjective Quality of Machin...
 
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
 
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
Terumasa Ehara - 2015 - System Combination of RBMT plus SPE and Preordering p...
 
Toshiaki Nakazawa - 2015 - Overview of the 2nd Workshop on Asian Translation
Toshiaki Nakazawa  - 2015 - Overview of the 2nd Workshop on Asian TranslationToshiaki Nakazawa  - 2015 - Overview of the 2nd Workshop on Asian Translation
Toshiaki Nakazawa - 2015 - Overview of the 2nd Workshop on Asian Translation
 
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT System
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT SystemHua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT System
Hua Shan - 2015 - A Dependency-to-String Model for Chinese-Japanese SMT System
 
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
 
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
Wei Yang - 2015 - Sampling-based Alignment and Hierarchical Sub-sentential Al...
 
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...
Katsuhito Sudoh - 2015 Chinese-to-Japanese Patent Machine Translation based o...
 

Recently uploaded

Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterMateoGardella
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfSanaAli374401
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...KokoStevan
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 

Recently uploaded (20)

Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch Letter
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 

Maria Ryskina - 2017 - Automatic Compositor Attribution in the First Folio of Shakespeare

  • 1. Automatic Compositor Attribution in the First Folio of Shakespeare Maria Ryskina*, Hannah Alpert-Abrams†, Dan Garrette‡ and Taylor Berg-Kirkpatrick*
 *{mryskina, tberg}@cs.cmu.edu †halperta@gmail.com ‡dhgarrette@google.com Summary What is a compositor? Experiments We present an unsupervised approach to compositor attribution — clustering the pages of a historical printed document according to the individual who set the type. We use the First Folio of Shakespeare (1623) as a test case since it has been extensively studied by bibliographers. Following the manual work of these traditional Shakespeare scholars, we perform automatic analysis by modeling the orthographic preferences and spacing tendencies of compositors, reaching up to 87% agreement with the authoritative attribution. spelling variation spacing variation medial comma Model Compositors are modeled as latent variables, one per page, and their orthographic and spacing choices are modeled by multinomial distributions. Basic model variant: Simple multinomial baseline, only includes word-level spelling choices. 
 Feature model variant: Includes individual edit operations as well as word spelling choices, incorporated using a log-linear parameterization. Whitespace lengths are modeled with separate multinomials for each compositor. Analysis !! ! ! !! ! ! ! ! u o u w u DEL! !! ! ! !! ! ! Comp B Comp AComp C Comp E Comp D !! ! ! Inspecting the parameters learned by our model reveals habits of individual compositors that have been noticed by bibliographers (Taylor, 1981). Learned behaviors By extending our model with a non-parametric prior we are able to additionally learn the number of compositors. Depending on the subset of the vocabulary considered (e.g. words considered by Hinman vs. the larger set considered by Blayney) our non-parametric m o d e l a g r e e s w i t h t h e c o r r e s p o n d i n g s c h o l a r s ’ judgement. Number of compositors One-to-oneaccuracy 0 20 40 60 80 100 87.3 77.1 58.8 16.7 Random Basic Feature: 
 Edit Feature: 
 Edit + Spacing Manual diplomatic transcription 
 (Bodleian library) 0 20 40 60 80 100 85.9 76.1 53.7 16.7 Ocular OCR transcription 
 (Berg-Kirkpatrick et al., 2013) We evaluate by mapping the recovered page clusters to the gold compositors in the authoritative attribution and measure one-to-one accuracy. Including orthographic features substantially improves accuracy, but the best result is obtained by edit and whitespace features combined. ci sik mij dij dear deere Ki Ji I Modern spelling Diplomatic spelling Spacing distance Compositor C ! !! !! ! Whitespace pref params: ✓c dear: deare deerdeere a ! e INS ! e a ! r a ! DEL Edit operation weights: C Orthographic pref params: wc Word variant weights: A compositor is a person who manually arranges and sets type for printing a document. Shakespeare’s First Folio is believed to have been set by multiple compositors, each with varying degrees of proficiency at accurately transcribing the original (mostly lost) manuscripts. Bibliographers attribute pages to compositors based on their spelling choices or visual evidence such as whitespace lengths before and after punctuation.
 Random Basic Feature: 
 Edit Feature: 
 Edit + Spacing 2 4 6 8 10 0 300 600 900 5 Hinman 8 Blayney Iterations Numberofcomps