@inproceedings{kindt-kepeklian-2022-analyse,
title = "Analyse Automatique de l{'}Ancien Arm{\'e}nien. {\'E}valuation d{'}une m{\'e}thode hybride « dictionnaire » et « r{\'e}seau de neurones » sur un Extrait de l{'}Adversus Haereses d{'}Ir{\'e}n{\'e}e de Lyon",
author = "Kindt, Bastien and
Kepeklian, Gabriel",
editor = "Khurshudyan, Victoria and
Tomeh, Nadi and
Nouvel, Damien and
Donabedian, Anaid and
Vidal-Gorene, Chahan",
booktitle = "Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.digitam-1.3",
pages = "13--20",
abstract = "The aim of this paper is to evaluate a lexical analysis (mainly lemmatization and POS-tagging) of a sample of the Ancient Armenian version of the Adversus Haereses by Irenaeus of Lyons (2nd c.) by using hybrid approach based on digital dictionaries on the one hand, and on Recurrent Neural Network (RNN) on the other hand. The quality of the results is checked by comparing data obtained by implementing these two methods with data manually checked. In the present case, 98,37{\%} of the results are correct by using the first (lexical) approach, and 74,64{\%} by using the second (RNN). But, in fact, both methods present advantages and disadvantages and argue for the hybrid method. The linguistic resources implemented here are jointly developed and tested by GREgORI and Calfa.",
}
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<abstract>The aim of this paper is to evaluate a lexical analysis (mainly lemmatization and POS-tagging) of a sample of the Ancient Armenian version of the Adversus Haereses by Irenaeus of Lyons (2nd c.) by using hybrid approach based on digital dictionaries on the one hand, and on Recurrent Neural Network (RNN) on the other hand. The quality of the results is checked by comparing data obtained by implementing these two methods with data manually checked. In the present case, 98,37% of the results are correct by using the first (lexical) approach, and 74,64% by using the second (RNN). But, in fact, both methods present advantages and disadvantages and argue for the hybrid method. The linguistic resources implemented here are jointly developed and tested by GREgORI and Calfa.</abstract>
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%0 Conference Proceedings
%T Analyse Automatique de l’Ancien Arménien. Évaluation d’une méthode hybride « dictionnaire » et « réseau de neurones » sur un Extrait de l’Adversus Haereses d’Irénée de Lyon
%A Kindt, Bastien
%A Kepeklian, Gabriel
%Y Khurshudyan, Victoria
%Y Tomeh, Nadi
%Y Nouvel, Damien
%Y Donabedian, Anaid
%Y Vidal-Gorene, Chahan
%S Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F kindt-kepeklian-2022-analyse
%X The aim of this paper is to evaluate a lexical analysis (mainly lemmatization and POS-tagging) of a sample of the Ancient Armenian version of the Adversus Haereses by Irenaeus of Lyons (2nd c.) by using hybrid approach based on digital dictionaries on the one hand, and on Recurrent Neural Network (RNN) on the other hand. The quality of the results is checked by comparing data obtained by implementing these two methods with data manually checked. In the present case, 98,37% of the results are correct by using the first (lexical) approach, and 74,64% by using the second (RNN). But, in fact, both methods present advantages and disadvantages and argue for the hybrid method. The linguistic resources implemented here are jointly developed and tested by GREgORI and Calfa.
%U https://aclanthology.org/2022.digitam-1.3
%P 13-20
Markdown (Informal)
[Analyse Automatique de l’Ancien Arménien. Évaluation d’une méthode hybride « dictionnaire » et « réseau de neurones » sur un Extrait de l’Adversus Haereses d’Irénée de Lyon](https://aclanthology.org/2022.digitam-1.3) (Kindt & Kepeklian, DigitAm 2022)
ACL