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Universal Segmentations 1.0 (UniSegments 1.0)
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Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan; Kyjánek, Lukáš; Svoboda, Emil; Ševčíková, Magda; Vidra, Jonáš; Angle, Sachi; Ansari, Ebrahim; Arkhangelskiy, Timofey; Batsuren, Khuyagbaatar; Bella, Gábor; Bertinetto, Pier Marco; Bonami, Olivier; Celata, Chiara; Daniel, Michael; Fedorenko, Alexei; Filko, Matea; Giunchiglia, Fausto; Haghdoost, Hamid; Hathout, Nabil; Khomchenkova, Irina; Khurshudyan, Victoria; Levonian, Dmitri; Litta, Eleonora; Medvedeva, Maria; Muralikrishna, S. N.; Namer, Fiammetta; Nikravesh, Mahshid; Padó, Sebastian; Passarotti, Marco; Plungian, Vladimir; Polyakov, Alexey; Potapov, Mihail; Pruthwik, Mishra; Rao B, Ashwath; Rubakov, Sergei; Samar, Husain; Sharma, Dipti Misra; Šnajder, Jan; Šojat, Krešimir; Štefanec, Vanja; Talamo, Luigi; Tribout, Delphine; Vodolazsky, Daniil; Vydrin, Arseniy; Zakirova, Aigul; Zeller, Britta. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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Abstract:
Universal Segmentations (UniSegments) is a collection of lexical resources capturing morphological segmentations harmonised into a cross-linguistically consistent annotation scheme for many languages. The annotation scheme consists of simple tab-separated columns that stores a word and its morphological segmentations, including pieces of information about the word and the segmented units, e.g., part-of-speech categories, type of morphs/morphemes etc. The current public version of the collection contains 38 harmonised segmentation datasets covering 30 different languages.
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Keyword:
Armenian language; Bengali language; Catalan language; Croatian language; Czech language; English language; Erzya language; Finnish language; French language; German language; Hindi language; Hungarian language; Italian language; Kannada language; Komi-Zyrian language; Latin language; Malayalam language; Marathi language; Mari (Russia) language; Moksha language; Mongolian language; morph; morphemes; morphological dictionary; morphological segmentation; morphology; multilingual; Persian language; Polish language; Portuguese language; Russian language; segmentation; Serbo-Croatian language; Spanish language; Swedish language; Tajik language; Udmurt language; unisegments; universal segmentations; word segmentation
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URL: http://hdl.handle.net/11234/1-4629
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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Two layers of annotation for representing event mentions in news stories
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Predictability of Distributional Semantics in Derivational Word Formation
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In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics : Technical Papers P. 1285–1296 (2016)
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Event-centered information retrieval using kernels on event graphs
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Aspect-oriented opinion mining from user reviews in Croatian
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Exploring coreference uncertainty of generically extracted event mentions
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Experiments on hybrid corpus-based sentiment lexicon acquisition
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