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Rethinking the *-s suffix in Old Chinese: with new evidence from Situ Rgyalrong
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In: ISSN: 0165-4004 ; EISSN: 1614-7308 ; Folia Linguistica ; https://hal.archives-ouvertes.fr/hal-03636079 ; Folia Linguistica, De Gruyter, In press, ⟨10.1515/flin-2022-2014⟩ (2022)
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2022 (à venir) : « Enseigner avec le numérique en situation pandémique : impact, réflexion et perspectives ».
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In: Journées d’études AREC : Enseignement en ligne de la langue et de la civilisation chinoises, Université de Paris. ; https://hal.archives-ouvertes.fr/hal-03607225 ; Journées d’études AREC : Enseignement en ligne de la langue et de la civilisation chinoises, Université de Paris., Jun 2022, Paris, France (2022)
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Sentence repetition as a clinical marker for Mandarin DLD (Wang et al., 2022) ...
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Sentence repetition as a clinical marker for Mandarin DLD (Wang et al., 2022) ...
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SAWpaper: Self-assessment works paper research compendium ...
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SAWpaper: Self-assessment works paper research compendium ...
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Experiment 2: Jury Suggestibility: The Effect of Judicial Instruction on Juror’s use of Covert Recording Transcripts ...
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THE DIFFICULTIES OF USING THE COMMUNICATIVE METHOD AND THE COGNITIVE ADVANTAGE OF BILINGUAL STUDENTS IN TEACHING A FOREIGN LANGUAGE ...
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Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ...
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Universal Conditional Masked Language Pre-training for Neural Machine Translation ...
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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Abstract:
Existing document-level neural machine translation (NMT) models have sufficiently explored different context settings to provide guidance for target generation. However, little attention is paid to inaugurate more diverse context for abundant context information. In this paper, we propose a Selective Memory-augmented Neural Document Translation model to deal with documents containing large hypothesis space of the context. Specifically, we retrieve similar bilingual sentence pairs from the training corpus to augment global context and then extend the two-stream attention model with selective mechanism to capture local context and diverse global contexts. This unified approach allows our model to be trained elegantly on three publicly document-level machine translation datasets and significantly outperforms previous document-level NMT models. ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2201.01631 https://arxiv.org/abs/2201.01631
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Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ...
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Bertolt Brecht's Me-ti or the Aesthetics of Translation : Universal Love, Mutual Benefits, and Transience ...
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Entropy Analysis of Heart Rate Variability in Different Sleep Stages
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In: Entropy; Volume 24; Issue 3; Pages: 379 (2022)
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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
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Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
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