AGILe: The First Lemmatizer for Ancient Greek Inscriptions

Evelien de Graaf; Silvia Stopponi; Jasper Bos; Saskia Peels-Matthey; Malvina Nissim

AGILe: The First Lemmatizer for Ancient Greek Inscriptions

Evelien de Graaf, Silvia Stopponi, Jasper Bos, Saskia Peels-Matthey, Malvina Nissim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data has. We show that existing lemmatizers for ancient Greek, trained on literary data, are not performant on epigraphic data, due to major language differences between the two types of texts. We thus train the first inscription-specific lemmatizer achieving above 80% accuracy, and make both the models and the lemmatized data available to the community. We also provide a detailed error analysis highlighting peculiarities of inscriptions which again highlights the importance of a lemmatizer dedicated to inscriptions.

Original language	English
Title of host publication	Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)
Editors	Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Place of Publication	Marseille, France
Publisher	European Language Resources Association (ELRA)
Pages	5334-5344
Number of pages	11
ISBN (Print)	9791095546726
Publication status	Published - Jun-2022
Event	The 13th Conference on Language Resources and Evaluation - Palais du Pharo, Marseille, France Duration: 20-Jun-2022 → 25-Jun-2022 https://lrec2022.lrec-conf.org/en/

Conference

Conference	The 13th Conference on Language Resources and Evaluation
Abbreviated title	LREC 2022
Country/Territory	France
City	Marseille
Period	20/06/2022 → 25/06/2022
Internet address	https://lrec2022.lrec-conf.org/en/

Keywords

lemmatizer
ancient Greek
digital classics

Access to Document

de Graaf et al_2022_AGILeFinal publisher's version, 1.21 MBLicence: CC BY-NC-ND

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Persistent link

2 Software

Google Colab notebook for the AGILe lemmatizer
de Graaf, E. & Stopponi, S., 4-Apr-2024
Research output: Non-textual form › Software › Academic
AGILe lemmatizer for Ancient Greek inscriptions
Bos, J., de Graaf, E. (Developer) & Stopponi, S. (Developer), 20-Nov-2021
Research output: Non-textual form › Software › Academic

Cite this

de Graaf, E., Stopponi, S., Bos, J., Peels-Matthey, S., & Nissim, M. (2022). AGILe: The First Lemmatizer for Ancient Greek Inscriptions. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (pp. 5334-5344). European Language Resources Association (ELRA).

de Graaf, Evelien ; Stopponi, Silvia ; Bos, Jasper et al. / AGILe : The First Lemmatizer for Ancient Greek Inscriptions. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). editor / Nicoletta Calzolari ; Frédéric Béchet ; Philippe Blache ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Hélène Mazo ; Jan Odijk ; Stelios Piperidis. Marseille, France : European Language Resources Association (ELRA), 2022. pp. 5334-5344

@inproceedings{8d7643980cec40569c5252d0e9c0f4b2,

title = "AGILe: The First Lemmatizer for Ancient Greek Inscriptions",

abstract = "To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data has. We show that existing lemmatizers for ancient Greek, trained on literary data, are not performant on epigraphic data, due to major language differences between the two types of texts. We thus train the first inscription-specific lemmatizer achieving above 80% accuracy, and make both the models and the lemmatized data available to the community. We also provide a detailed error analysis highlighting peculiarities of inscriptions which again highlights the importance of a lemmatizer dedicated to inscriptions.",

keywords = "lemmatizer, ancient Greek, digital classics",

author = "{de Graaf}, Evelien and Silvia Stopponi and Jasper Bos and Saskia Peels-Matthey and Malvina Nissim",

year = "2022",

month = jun,

language = "English",

isbn = "9791095546726",

pages = "5334--5344",

editor = "Nicoletta Calzolari and Fr{\'e}d{\'e}ric B{\'e}chet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H{\'e}l{\`e}ne Mazo and Jan Odijk and Stelios Piperidis",

booktitle = "Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)",

publisher = "European Language Resources Association (ELRA)",

note = "The 13th Conference on Language Resources and Evaluation, LREC 2022 ; Conference date: 20-06-2022 Through 25-06-2022",

url = "https://lrec2022.lrec-conf.org/en/",

}

de Graaf, E, Stopponi, S, Bos, J, Peels-Matthey, S & Nissim, M 2022, AGILe: The First Lemmatizer for Ancient Greek Inscriptions. in N Calzolari, F Béchet, P Blache, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, J Odijk & S Piperidis (eds), Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA), Marseille, France, pp. 5334-5344, The 13th Conference on Language Resources and Evaluation, Marseille, France, 20/06/2022.

AGILe: The First Lemmatizer for Ancient Greek Inscriptions. / de Graaf, Evelien; Stopponi, Silvia; Bos, Jasper et al.
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). ed. / Nicoletta Calzolari; Frédéric Béchet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Jan Odijk; Stelios Piperidis. Marseille, France: European Language Resources Association (ELRA), 2022. p. 5334-5344.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - AGILe

T2 - The 13th Conference on Language Resources and Evaluation

AU - de Graaf, Evelien

AU - Stopponi, Silvia

AU - Bos, Jasper

AU - Peels-Matthey, Saskia

AU - Nissim, Malvina

PY - 2022/6

Y1 - 2022/6

N2 - To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data has. We show that existing lemmatizers for ancient Greek, trained on literary data, are not performant on epigraphic data, due to major language differences between the two types of texts. We thus train the first inscription-specific lemmatizer achieving above 80% accuracy, and make both the models and the lemmatized data available to the community. We also provide a detailed error analysis highlighting peculiarities of inscriptions which again highlights the importance of a lemmatizer dedicated to inscriptions.

AB - To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data has. We show that existing lemmatizers for ancient Greek, trained on literary data, are not performant on epigraphic data, due to major language differences between the two types of texts. We thus train the first inscription-specific lemmatizer achieving above 80% accuracy, and make both the models and the lemmatized data available to the community. We also provide a detailed error analysis highlighting peculiarities of inscriptions which again highlights the importance of a lemmatizer dedicated to inscriptions.

KW - lemmatizer

KW - ancient Greek

KW - digital classics

M3 - Conference contribution

SN - 9791095546726

SP - 5334

EP - 5344

BT - Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

A2 - Calzolari, Nicoletta

A2 - Béchet, Frédéric

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Hélène

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

CY - Marseille, France

Y2 - 20 June 2022 through 25 June 2022

ER -

de Graaf E, Stopponi S, Bos J, Peels-Matthey S , Nissim M. AGILe: The First Lemmatizer for Ancient Greek Inscriptions. In Calzolari N, Béchet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Odijk J, Piperidis S, editors, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). Marseille, France: European Language Resources Association (ELRA). 2022. p. 5334-5344

AGILe: The First Lemmatizer for Ancient Greek Inscriptions

Abstract

Conference

Keywords

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Research output

Google Colab notebook for the AGILe lemmatizer

AGILe lemmatizer for Ancient Greek inscriptions

Cite this