Voting for POS tagging of latin texts: using the flair of FLAIR to better ensemble classifiers by example of latin

  • Despite the great importance of the Latin language in the past, there are relatively few resources available today to develop modern NLP tools for this language. Therefore, the EvaLatin Shared Task for Lemmatization and Part-of-Speech (POS) tagging was published in the LT4HALA workshop. In our work, we dealt with the second EvaLatin task, that is, POS tagging. Since most of the available Latin word embeddings were trained on either few or inaccurate data, we trained several embeddings on better data in the first step. Based on these embeddings, we trained several state-of-the-art taggers and used them as input for an ensemble classifier called LSTMVoter. We were able to achieve the best results for both the cross-genre and the cross-time task (90.64% and 87.00%) without using additional annotated data (closed modality). In the meantime, we further improved the system and achieved even better results (96.91% on classical, 90.87% on cross-genre and 87.35% on cross-time).

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Author:Manuel Stoeckel, Alexander Henlein, Wahed Hemati, Alexander MehlerORCiDGND
URN:urn:nbn:de:hebis:30:3-564698
URL:https://aclanthology.org/2020.lt4hala-1.21/
Parent Title (English):Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages, Marseille, France
Publisher:European Language Resources Association (ELRA)
Place of publication:[Erscheinungsort nicht ermittelbar]
Document Type:Conference Proceeding
Language:English
Year of Completion:2020
Year of first Publication:2020
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2022/05/12
Page Number:6
First Page:130
Last Page:135
Institutes:Informatik und Mathematik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
4 Sprache / 47 Latein, italische Sprachen / 470 Italische Sprachen; Latein
Sammlungen:Universit├Ątspublikationen
Licence (English):License LogoCreative Commons - Namensnennung-Nicht kommerziell 4.0