Latvian UD Treebank is based on Latvian Treebank (LVTB), being created at University of Latvia, Institute of Mathematics and Computer Science, Artificial Intelligence Laboratory.
Latvian UD Treebank v2.14 consists of 18'850 sentences (317'369 tokens), and it has been obtained by automatic conversion of both the morphological and the syntactic annotations of the original LVTB treebank. LVTB data contains manually verified syntactic annotation according to a hybrid dependency-constituency schema, as well as manually verified morphological tags and lemmas. LVTB is released in parallel with Latvian UD Treebank since v2.2 and features the same version numbers. The corresponding LVTB versions are listed here. Key LvtbNodeId in Latvian UD Treebank CoNLL-U field MISC provides the mapping from Latvian UD Treebank to LVTB. Each LVTB version is superset of the corresponding Latvian UD Treebank version in terms of included sentences.
This work was supported by European Regional Development Fund under the grant agreement No. 1.1.1.1/16/A/219 (Full Stack of Language Resources for Natural Language Understanding and Generation in Latvian) in synergy with the grant agreement No. 1.1.1.2/VIAA/1/16/188. The pilot project was supported by State Research Programme "National Identity". The work was continued within the State Research Programme "Digital Resources for the Humanities" under the grant agreement No. VPP-IZM-DH-2020/1-0001, and now is continued in State Research Programme "Research on Modern Latvian Language and Development of Language Technology" under the grant agreement No. VPP-LETONIKA-2021/1-0006.
Pretkalniņa L., Rituma L., Saulīte B. Deriving enhanced Universal Dependencies from a hybrid dependency-constituency treebank. Proceedings of the 21sh International Conference Text, Speech, and Dialogue, LNCS, Vol. 11107, Springer Link, 2018, pp. 95-105
Grūzītis N., Pretkalniņa L., Saulīte B., Rituma L., Nešpore-Bērzkalne G., Znotiņš A., Paikens P. Creation of a Balanced State-of-the-Art Multilayer Corpus for NLU. Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC). Miyazaki, Japan, 2018, pp. 4506-4513
Pretkalniņa L., Rituma L., Saulīte B. Universal Dependency Treebank for Latvian: A Pilot. Human Language Technologies - The Baltic Perspective, Frontiers in Artificial Intelligence and Applications, Vol. 289, IOS Press, 2016, pp. 136-143
Pretkalniņa L., Rituma L. Constructions in Latvian Treebank: The Impact of Annotation Decisions on the Dependency Parsing Performance. Human Language Technologies - The Baltic Perspective, Frontiers in Artificial Intelligence and Applications, Vol. 268, IOS Press, 2014, pp. 219-226
Pretkalniņa L., Nešpore G., Levāne-Petrova K., and Saulīte B. Towards a Latvian Treebank. Actas del III Congreso Internacional de Lingüística de Corpus. Valencia, Spain, 2011, pp. 119-127
Pretkalniņa L., Nešpore G., Levāne-Petrova K., and Saulīte B. A Prague Markup Language profile for the SemTi-Kamols grammar model. Proceedings of the 18th Nordic Conference of Computational Linguistics. Riga, Latvia, 2011, pp. 303-306
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The training data covers various text types: news, fiction, academic texts, legal texts, transcripts of spoken language, etc. The development and test sets are carefully split out to cover all those types.
Train: 14358 sentences\ Dev: 2080 sentences\ Test: 2412 sentences
2024-05-15 v2.14
2023-11-15 v2.13
2023-05-15 v2.12
2022-11-15 v2.11
2022-05-15 v2.10
2021-11-15 v2.9
2021-05-15 v2.8
2020-05-15 v2.6
2019-11-15 v2.5
2019-05-15 v2.4
2018-11-15 v2.3
2018-04-15 v2.2
2017-11-15 v2.1
2017-02-15 v2.0
2016-11-15 v1.4
=== Machine-readable metadata ================================================= Data available since: UD v1.3 License: CC BY-SA 4.0 Includes text: yes Genre: news fiction legal spoken academic Lemmas: manual native UPOS: converted from manual XPOS: manual native Features: converted from manual Relations: converted from manual Contributors: Pretkalniņa, Lauma; Rituma, Laura; Saulīte, Baiba; Nešpore-Bērzkalne, Gunta; Grūzītis, Normunds Contributing: elsewhere Contact: lauma@ailab.lv, normunds@ailab.lv ===============================================================================