ConLoan-LV: A Contrastive Dataset for Latvian Language Loanwords, Code-switching, and Named Entities

  Autori

Štekeļs, Jorens

  Vienuma identifikators

http://hdl.handle.net/20.500.12574/158

 Projekta URL

https://github.com/jorenchik/conloan-tools

 Norāde

https://doi.org/10.18653/v1/2025.acl-long.1453

 Izdošanas datums

2026-05-11

 Tips

corpus, text

 Lielums

676 sentences

 Valoda(-s)

Latvian

 Apraksts

ConLoan-LV is a multi-purpose contrastive dataset designed for the classification and analysis of Latvian language loanwords, code-switching, and named entities. Replicating and extending the ConLoan methodology, the dataset contains 353 manually validated sentences in the baseline version and 676 in the extended version, with all sentences sourced from the LVK2022 corpus. Each entry is enriched with labels for material borrowings (LOAN), while the extended version adds labels for code-switching (CS) and named entities (NE). Furthermore, the dataset includes native-language semantic equivalents for loanwords and English translations, providing a parallel structure for comparative analysis. This resource is intended for training and benchmarking language models in identifying non-native lexical elements within Latvian language texts.

 Izdevējs

University of Latvia

 Tēma(-s)

loanwords named entities code-switching

 Kolekcija (s)

Language resources and tools of AiLab IMCS UL

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