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1
Universal Segmentations 1.0 (UniSegments 1.0)
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.
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
URL: http://hdl.handle.net/11234/1-4629
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2
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022
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3
ELITR Multilingual Live Subtitling: Demo and Strategy ...
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4
LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
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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5
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval
In: https://hal.archives-ouvertes.fr/hal-02629069 ; 2020 (2020)
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6
Large-Scale Colloquial Persian 0.5
Abdi Khojasteh, Hadi; Ansari, Ebrahim; Bohlouli, Mahdi. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020. : Institute for Advanced Studies in Basic Sciences (IASBS), 2020
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7
Findings of the IWSLT 2020 Evaluation campaign ...
Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020
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8
Persian Morphologically Segmented Lexicon 0.5
Ansari, Ebrahim; Žabokrtský, Zdeněk; Haghdoost, Hamid. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019
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9
Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora ...
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10
Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries ...
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