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From Error Annotation to Quantitative Analysis: Patterns in Russian Language Learning
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In: ISSN: 0036-0252 ; Russian language journal ; https://hal.archives-ouvertes.fr/hal-03376956 ; Russian language journal, American Councils for International Education, Michigan State University 2021, 71 (3), pp.39-70 (2021)
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Natural Language Generation : From Data Creation to Evaluation via Modelling ; Génération en langue naturelle : de la création des données à l'évaluation, en passant par la modélisation
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In: https://hal.univ-lorraine.fr/tel-03254708 ; Computation and Language [cs.CL]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0080⟩ (2021)
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Ανάλυση γλωσσικών λαθών στον γραπτό λόγο μαθητών δημοτικού: ... : Analysis of linguistic errors in elementary school students’ written speech: ...
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ANALISIS KESALAHAN PENGGUNAAN ANGGAH UNGGUHING BASA BALI DALAM TEKS LOMBA PIDARTA BALI SISWA SMA/SMK SE-BALI DI UNIVERSITAS PGRI MAHADEWA INDONESIA ...
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ANALISIS KESALAHAN PENGGUNAAN ANGGAH UNGGUHING BASA BALI DALAM TEKS LOMBA PIDARTA BALI SISWA SMA/SMK SE-BALI DI UNIVERSITAS PGRI MAHADEWA INDONESIA ...
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| 10 |
An Analysis of Errors in English Writing: A Case Study the Third Semester Students of UBSI
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In: JURNAL ARBITRER; Vol 8, No 1 (2021); 46-50 ; 2550-1011 ; 2339-1162 (2021)
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Advancing writing analytics methodologies: a hybrid approach to analyzing errors in automated rhetorical feedback
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In: World Languages and Cultures Conference Papers, Posters and Proceedings (2021)
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Предложные конструкции в унаследованном (эритажном) русском: корпусный анализ
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Предложные конструкции в унаследованном (эритажном) русском: корпусный анализ ...
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Análisis de errores fonéticos y ortográficos en la interlengua española de hablantes lituanos ; Phonetic and spelling error analysis of the spanish interlanguage of lithuanian speakers
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Anàlisi d'errors en l'expressió escrita del català com a llengua addicional : contrast entre l'alumnat serbi i l'anglòfon
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| 16 |
Lexical Properties of Perceptual Errors Made by Younger and Older Adults Listening to Speech in Multitalker Babble
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In: Theses and Dissertations (2021)
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| 17 |
Common writing mistakes of the Spanish-speaking university students of French as a foreign language ; Les erreurs fréquentes des étudiants universitaires hispanophones de FLE à l’écrit
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In: Anales de Filología Francesa; No. 29 (2021): Le monde connecté et les approches interculturelles: vers un nouveau paradigme des frontières?; 769-789 ; Anales de Filología Francesa; Núm. 29 (2021): Le monde connecté et les approches interculturelles: vers un nouveau paradigme des frontières?; 769-789 ; Anales de Filología Francesa; No 29 (2021): Le monde connecté et les approches interculturelles: vers un nouveau paradigme des frontières?; 769-789 ; 1989-4678 (2021)
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| 18 |
Lexical errors analysis of Saudi university english major students’ translation texts
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| 19 |
What's in a Span? Evaluating the Creativity of a Span-Based Neural Constituency Parser
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Abstract:
Constituency parsing is generally evaluated superficially, particularly in a multiple language setting, with only F-scores being re-ported. As new state-of-the-art chart-based parsers have resulted in a transition from traditional PCFG-based grammars to span-based approaches (Stern et al., 2017; Gaddy et al.,2018), we do not have a good understanding of how such fundamentally different approaches interact with various treebanks as results show improvements across treebanks (Kitaev and Klein, 2018), but it is unclear what influence annotation schemes have on various treebank performance (Kitaev et al., 2019). In particular, a span-based parser’s capability of creating novel rules is an unknown factor. We perform an analysis of how span-based parsing performs across 11 treebanks in order to examine the overall behavior of this parsing approach and the effect of the treebanks’ specific annotations on results. We find that the parser tends to prefer flatter trees, but the approach works well because it is robust enough to adapt to differences in annotation schemes across treebanks and languages.
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Keyword:
Computational Linguistics; error analysis; evaluation; multilingual setting; neural constituency parsing; span-based parsing
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URL: https://scholarworks.umass.edu/scil/vol4/iss1/35
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1172&context=scil
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| 20 |
The skill of natural interpreting in a trilingual child
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In: Topics in Linguistics, Vol 22, Iss 1, Pp 38-62 (2021) (2021)
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