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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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Abstract:
Pre-trained sequence-to-sequence models have significantly improved Neural Machine Translation (NMT). Different from prior works where pre-trained models usually adopt an unidirectional decoder, this paper demonstrates that pre-training a sequence-to-sequence model but with a bidirectional decoder can produce notable performance gains for both Autoregressive and Non-autoregressive NMT. Specifically, we propose CeMAT, a conditional masked language model pre-trained on large-scale bilingual and monolingual corpora in many languages. We also introduce two simple but effective methods to enhance the CeMAT, aligned code-switching & masking and dynamic dual-masking. We conduct extensive experiments and show that our CeMAT can achieve significant performance improvement for all scenarios from low- to extremely high-resource languages, i.e., up to +14.4 BLEU on low resource and +7.9 BLEU improvements on average for Autoregressive NMT. For Non-autoregressive NMT, we demonstrate it can also produce consistent ... : Accepted to ACL 2022 Main conference ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2203.09210 https://arxiv.org/abs/2203.09210
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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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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