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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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LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02628956 ; 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France. pp.6323-6327 ; https://www.aclweb.org/anthology/2020.lrec-1.776/ (2020)
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Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval
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In: https://hal.archives-ouvertes.fr/hal-02629069 ; 2020 (2020)
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Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora ...
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Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries ...
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