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LowResourceEval-2019: a shared task on morphological analysis forlow-resource languagesстатья
- Авторы: Alexey Sorokin, Elena Klyachko, Galina Ryazanskaya, Natalya Kryzhanovskaya, Andrey Kryzhanovsky
- Сборник: Компьютерная лингвистика и интеллектуальные Технологии. По материалам ежегодной международной конференции Диалог- 2019
- Том: 18
- Год издания: 2019
- Место издания: РГГУ М
- Первая страница: 45
- Последняя страница: 62
- Аннотация: The paper describes the results of the first shared task on morphological analysis for the languages of Russia, namely, Evenki, Karelian, Selkup, and Veps. For the languages in question, only small-sized corpora are available. The tasks include morphological analysis, word form generation and morpheme segmentation. Four teams participated in the shared task. Most of them use machine-learning approaches, outperforming the existing rulebased ones. The article describes the datasets prepared for the shared tasks and contains analysis of the participants’ solutions. Language corpora having different formats were transformed into CONLL-U format. The universal format makes the datasets comparable to other language corpura and facilitates using them in other NLP tasks.
- Добавил в систему: Сорокин Алексей Андреевич