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This article describes the creation of corpora with part-of-speech annotations for three regional languages of France: Alsatian, Occitan and Picard. These manual annotations were performed in the context of the RESTAURE project, whose goal is to develop resources and tools for these under-resourced French regional languages. The article presents the tagsets used in the annotation process as well as the resulting annotated corpora.
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We present a new major release of the OpenSubtitles collection of parallel corpora. The release is compiled from a large database of movie and TV subtitles and includes a total of 1689 bitexts spanning 2.6 billion sentences across 60 languages. The release also incorporates a number of enhancements in the preprocessing and alignment of the subtitles, such as the automatic correction of OCR errors and the use of meta-data to estimate the quality of each subtitle and score subtitle pairs.
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This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.
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The annotation of corpora for lower-resource languages can benefit from automatic preannotation to increase the throughput of the annotation process in a a context where human resources are scarce. However, this can be hindered by the lack of available pre-annotation tools. In this work, we compare three preannotation methods in zero-shot or near-zeroshot contexts for part-of-speech (POS) and dependency annotation of an Alsatian Alemannic dialect. Our study shows that good levels of annotation quality can be achieved, with human annotators adapting their correction effort to the perceived quality of the pre-annotation. The pre-annotation tools also vary in efficiency depending on the task, with better global results for a system trained on closely related languages and dialects.
Explorer
Langue
- Alsacien (4)
- Breton (3)
- Corse (1)
- Créoles (1)
- Français (2)
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Multilingue
(9)
- Langues COLaF (3)
- Occitan (11)
- Picard (2)
- Poitevin-Saintongeais (1)
Tâche
Type de papier
- Papiers COLaF (5)
- Prise de position (1)