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Latvian National Corpora Collection – Korpuss.lv

2022-06-01 · LREC 2022 6 · Baiba Saulite, Roberts Darģis, Normunds Gruzitis, Ilze Auzina, Kristīne Levāne-Petrova, Lauma Pretkalniņa, Laura Rituma, Peteris Paikens, Arturs Znotins, Laine Strankale, Kristīne Pokratniece, Ilmārs Poikāns, Guntis Barzdins, Inguna Skadiņa, Anda Baklāne, Valdis Saulespurēns, Jānis Ziediņš

LNCC is a diverse collection of Latvian language corpora representing both written and spoken language and is useful for both linguistic research and language modelling. The collection is intended to cover diverse Latvian language use cases and all the important text types and genres (e.g. news, social media, blogs, books, scientific texts, debates, essays, etc.), taking into account both quality and size aspects. To reach this objective, LNCC is a continuous multi-institutional and multi-project effort, supported by the Digital Humanities and Language Technology communities in Latvia. LNCC includes a broad range of Latvian texts from the Latvian National Library, Culture Information Systems Centre, Latvian National News Agency, Latvian Parliament, Latvian web crawl, various Latvian publishers, and from the Latvian language corpora created by Institute of Mathematics and Computer Science and its partners, including spoken language corpora. All corpora of LNCC are re-annotated with a uniform morpho-syntactic annotation scheme which enables federated search and consistent linguistics analysis in all the LNCC corpora, as well as facilitates to select and mix various corpora for pre-training large Latvian language models like BERT and GPT.

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Tasks

Cultural Vocal Bursts Intensity Prediction Language Modelling

LaVA – Latvian Language Learner corpus

2022-06-01 · LREC 2022 6 · Roberts Darģis, Ilze Auziņa, Inga Kaija, Kristīne Levāne-Petrova 외

This paper presents the Latvian Language Learner Corpus (LaVA) developed at the Institute of Mathematics and Computer Science, University of Latvia. LaVA corpus contains 1015 essays (190k tokens and 790k characters exclu…

Collecting Language Resources for the Latvian e-Government Machine Translation Platform

2016-05-01 · LREC 2016 5 · Roberts Rozis, Andrejs Vasi{\c{l}}jevs, Raivis Skadi{\c{n}}{\v{s}}

This paper describes corpora collection activity for building large machine translation systems for Latvian e-Government platform. We describe requirements for corpora, selection and assessment of data sources, collectio…

Machine Translation Miscellaneous Translation

Identification of Multiword Expressions for Latvian and Lithuanian: Hybrid Approach

2017-04-01 · WS 2017 4 · M, Justina ravickait{\.e}, Tomas Krilavi{\v{c}}ius

We discuss an experiment on automatic identification of bi-gram multi-word expressions in parallel Latvian and Lithuanian corpora. Raw corpora, lexical association measures (LAMs) and supervised machine learning (ML) are…

BIG-bench Machine Learning POS

Pretraining and Benchmarking Modern Encoders for Latvian

2026-03-16 · Arturs Znotins arxiv

Encoder-only transformers remain essential for practical NLP tasks. While recent advances in multilingual models have improved cross-lingual capabilities, low-resource languages such as Latvian remain underrepresented in…

Latvian and Lithuanian Named Entity Recognition with TildeNER

2012-05-01 · LREC 2012 5 · M{\=a}rcis Pinnis

In this paper the author presents TildeNER â€• an open source freely available named entity recognition toolkit and the first multi-class named entity recognition system for Latvian and Lithuanian languages. The system i…

Machine Translation named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)