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THEaiTRobot 1.0
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Rosa, Rudolf; Dušek, Ondřej; Kocmi, Tom. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021. : The Švanda Theatre in Smíchov, 2021. : The Academy of Performing Arts in Prague, Theatre Faculty (DAMU), 2021
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FAUST 0.5
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Abstract:
Syntactic (including deep-syntactic - tectogrammatical) annotation of user-generated noisy sentences. The annotation was made on Czech-English and English-Czech Faust Dev/Test sets. The English data includes manual annotations of English reference translations of Czech source texts. This texts were translated independently by two translators. After some necessary cleanings, 1000 segments were randomly selected for manual annotation. Both the reference translations were annotated, which means 2000 annotated segments in total. The Czech data includes manual annotations of Czech reference translations of English source texts. This texts were translated independently by three translators. After some necessary cleanings, 1000 segments were randomly selected for manual annotation. All three reference translations were annotated, which means 3000 annotated segments in total. Faust is part of PDT-C 1.0 (http://hdl.handle.net/11234/1-3185).
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Keyword:
noisy texts; parallel corpus; tectogrammatics; treebank
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URL: http://hdl.handle.net/11234/1-3308
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Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes ...
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Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes ...
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Syntax Representation in Word Embeddings and Neural Networks -- A Survey ...
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Measuring Memorization Effect in Word-Level Neural Networks Probing ...
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Derivational Morphological Relations in Word Embeddings ...
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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