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1
Orthographic facilitation in oral vocabulary learning: effects of language backgrounds and orthographic type [<Journal>]
Zhang, Jie [Verfasser]; Chen, Yu [Verfasser]; Liu, Yang [Verfasser].
DNB Subject Category Language
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2
Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings
Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019
BLLDB
UB Frankfurt Linguistik
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3
Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector
BASE
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4
Shared-Private Bilingual Word Embeddings for Neural Machine Translation ...
Liu, Xuebo; Wong, Derek F.; Liu, Yang. - : arXiv, 2019
BASE
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5
Improving Back-Translation with Uncertainty-based Confidence Estimation ...
Wang, Shuo; Liu, Yang; Wang, Chao. - : arXiv, 2019
BASE
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6
Additional file 1: of HIV prevalence in suspected Ebola cases during the 2014â 2016 Ebola epidemic in Sierra Leone ...
Liu, William; Hu, Hai-Yang; Qiu-Dong Su. - : figshare, 2019
BASE
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7
Additional file 1: of HIV prevalence in suspected Ebola cases during the 2014â 2016 Ebola epidemic in Sierra Leone ...
Liu, William; Hu, Hai-Yang; Qiu-Dong Su. - : figshare, 2019
BASE
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8
An Augmented Transformer Architecture for Natural Language Generation Tasks ...
BASE
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9
Neural Machine Translation with Explicit Phrase Alignment ...
BASE
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10
Factors affecting bimodal benefit in pediatric Mandarin-speaking Chinese cochlear implant users
In: Ear Hear (2019)
BASE
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11
Discourse Relations and Signaling Information: Anchoring Discourse Signals in RST-DT
In: Proceedings of the Society for Computation in Linguistics (2019)
Abstract: Research on discourse relations between clauses, such as cause or contrast, has studied how relations are signaled in discourse. Several corpora include discourse relation annotations: the Penn Discourse Treebank (Prasad et al., 2008) annotates a subset of relations marked by explicit connectives (e.g. ‘however’) or understood implicit ones, while the RST-Signalling Corpus (Taboada & Das 2013) annotates the presence of signals exhaustively, but provides no information about the location of signaling devices. We present an annotation effort to anchor discourse signals at all levels, bridging the gap between these two frameworks, and support feature engineering for automatic discourse parsing.
Keyword: Computational Linguistics; Corpus Annotation; Discourse and Text Linguistics; Discourse Relations; Discourse Signals; RST Discourse Treebank; Signaling Information
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1083&context=scil
https://scholarworks.umass.edu/scil/vol2/iss1/35
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12
Adpositional Supersenses for Mandarin Chinese
In: Proceedings of the Society for Computation in Linguistics (2019)
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