AUTOMATIC LEMMATIZATION OF ANCIENT GREEK INSCRIPTIONS: A PRESENTATION OF AGILE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A4IQH7Y6K" target="_blank" >RIV/00216208:11320/25:4IQH7Y6K - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201624017&doi=10.19272%2f202413701002&partnerID=40&md5=77d1f4c3bfb4d6a8b4ea4d655af04d6f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201624017&doi=10.19272%2f202413701002&partnerID=40&md5=77d1f4c3bfb4d6a8b4ea4d655af04d6f</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.19272/202413701002" target="_blank" >10.19272/202413701002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AUTOMATIC LEMMATIZATION OF ANCIENT GREEK INSCRIPTIONS: A PRESENTATION OF AGILE

Popis výsledku v původním jazyce

In this paper, we present the first automatic lemmatizer for Ancient Greek Inscriptions (AGILe). Lemmatization of ancient texts, the process of tagging each word with the base form equal to the dictionary entry, benefits researchers, since searches on a lemmatized corpus can retrieve all occurrences of a lemma in one query. Whereas the corpus of literary texts (e.g. the Thesaurus Linguae Graecae) has been lemmatized, the vast majority of Ancient Greek inscriptions has not. Lemmatization is useful especially for inscriptions, since these are texts with a great amount of dialectal and spelling variation, but to lemmatize this vast corpus by hand would be an enormous task. We evaluated the performance of five existing automatic lemmatizers, developed for literary Greek, on epigraphic texts. Since their performance was disappointing (61.5% accuracy at best), we developed a new lemmatizer dedicated to Greek inscriptions. The performance of our lemmatizer is 85.6%. We provide a detailed error analysis as well as concrete suggestions for future improvement, as first steps towards the integration of AGILe in an online corpus of inscriptions. © 2024 Fabrizio Serra Editore Srl. All rights reserved.

Název v anglickém jazyce

AUTOMATIC LEMMATIZATION OF ANCIENT GREEK INSCRIPTIONS: A PRESENTATION OF AGILE

Popis výsledku anglicky

In this paper, we present the first automatic lemmatizer for Ancient Greek Inscriptions (AGILe). Lemmatization of ancient texts, the process of tagging each word with the base form equal to the dictionary entry, benefits researchers, since searches on a lemmatized corpus can retrieve all occurrences of a lemma in one query. Whereas the corpus of literary texts (e.g. the Thesaurus Linguae Graecae) has been lemmatized, the vast majority of Ancient Greek inscriptions has not. Lemmatization is useful especially for inscriptions, since these are texts with a great amount of dialectal and spelling variation, but to lemmatize this vast corpus by hand would be an enormous task. We evaluated the performance of five existing automatic lemmatizers, developed for literary Greek, on epigraphic texts. Since their performance was disappointing (61.5% accuracy at best), we developed a new lemmatizer dedicated to Greek inscriptions. The performance of our lemmatizer is 85.6%. We provide a detailed error analysis as well as concrete suggestions for future improvement, as first steps towards the integration of AGILe in an online corpus of inscriptions. © 2024 Fabrizio Serra Editore Srl. All rights reserved.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Epigraphic Studies

ISSN

2611-979X

e-ISSN

—

Svazek periodika

7

Číslo periodika v rámci svazku

2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

22

Strana od-do

29-50

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85201624017