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Found 7 papers, 1 papers with code
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages
We introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages.
Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining
The world of language models is going through turbulent times, better and ever larger models are coming out at an unprecedented speed.
CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation
This paper presents a collection of highly comparable web corpora of Slovenian, Croatian, Bosnian, Montenegrin, Serbian, Macedonian, and Bulgarian, covering thereby the whole spectrum of official languages in the South Slavic language space.
Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages
Large, curated, web-crawled corpora play a vital role in training language models (LMs).
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification
Results show that ChatGPT outperforms the fine-tuned model when applied to the dataset which was not seen before by either of the models.
The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild
This paper presents a new training dataset for automatic genre identification GINCO, which is based on 1, 125 crawled Slovenian web documents that consist of 650 thousand words.
