Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts

Lucence Ing; Matthias Gille Levenson; Carolina Macedo

doi:10.63317/32huzuuokpfr

Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts

Lucence Ing, Matthias Gille Levenson, Carolina Macedo

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Abstract

This paper presents an approach to multilingual alignment for medieval languages, focusing on the prior step of"phrase" segmentation. It outlines the challenges posed by historical data and describes different strategies forsegmenting texts in multiple languages. It releases a gold-standard segmentation corpus based on various literaryand historical works from the late Middle Ages in Europe. This corpus consists of texts in seven medieval languages (French, Castilian, Catalan, Portuguese, Latin, Italian, English). Several architectures are tested with both in-domain and out-of-domain evaluation sets.

Anthology ID:: 2026.lrec-1.72
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 936–946
Language:
External URL:: https://lrec.elra.info/lrec2026-main-072
DOI:: 10.63317/32huzuuokpfr
Bibkey:
Cite (ACL):: Lucence Ing, Matthias Gille Levenson, and Carolina Macedo. 2026. Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 936–946, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts (Ing et al., LREC 2026)
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@inproceedings{ing-etal-2026-phrase,
    title = "Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts",
    author = "Ing, Lucence  and
      Gille Levenson, Matthias  and
      Macedo, Carolina",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.72/",
    doi = "10.63317/32huzuuokpfr",
    pages = "936--946",
    abstract = "This paper presents an approach to multilingual alignment for medieval languages, focusing on the prior step of{''}phrase'' segmentation. It outlines the challenges posed by historical data and describes different strategies forsegmenting texts in multiple languages. It releases a gold-standard segmentation corpus based on various literaryand historical works from the late Middle Ages in Europe. This corpus consists of texts in seven medieval languages (French, Castilian, Catalan, Portuguese, Latin, Italian, English). Several architectures are tested with both in-domain and out-of-domain evaluation sets."
}

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%0 Conference Proceedings
%T Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts
%A Ing, Lucence
%A Gille Levenson, Matthias
%A Macedo, Carolina
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F ing-etal-2026-phrase
%X This paper presents an approach to multilingual alignment for medieval languages, focusing on the prior step of”phrase” segmentation. It outlines the challenges posed by historical data and describes different strategies forsegmenting texts in multiple languages. It releases a gold-standard segmentation corpus based on various literaryand historical works from the late Middle Ages in Europe. This corpus consists of texts in seven medieval languages (French, Castilian, Catalan, Portuguese, Latin, Italian, English). Several architectures are tested with both in-domain and out-of-domain evaluation sets.
%R 10.63317/32huzuuokpfr
%U https://aclanthology.org/2026.lrec-1.72/
%U https://doi.org/10.63317/32huzuuokpfr
%P 936-946

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Markdown (Informal)

[Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts](https://aclanthology.org/2026.lrec-1.72/) (Ing et al., LREC 2026)

Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts (Ing et al., LREC 2026)

ACL

Lucence Ing, Matthias Gille Levenson, and Carolina Macedo. 2026. Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 936–946, Palma de Mallorca, Spain. ELRA Language Resource Association.