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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...165 Hits 1 – 20 of 3.291 1 Proficiency and the Use of Machine Translation: A Case Study of Four Japanese Learners Xu, Jun In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 2 Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ... Lai, Siyu; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 3 SMDT: Selective Memory-Augmented Neural Document Translation ... Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022 BASE Show details 4 Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ... Zhang, Songming; Liu, Yijin; Meng, Fandong. - : arXiv, 2022 BASE Show details 5 MSCTD: A Multimodal Sentiment Chat Translation Dataset ... Liang, Yunlong; Meng, Fandong; Xu, Jinan. - : arXiv, 2022 BASE Show details 6 How does our brain respond to moral violations and semantic violations? Evidence from Event-related Potentials ... Xu, Xiaodong. - : Open Science Framework, 2022 BASE Show details 7 Improving the Compilation of English–Chinese Children's Dictionaries: A Children's Cognitive Perspective Zhao, Dan; Xu, Hai In: Lexikos; Vol. 32 (2022); 49-65 ; 2224-0039 (2022) Abstract: Children's dictionaries have existed for more than one thousand years in China, and play an important role in children's learning. However, many of those produced in China are defi­cient in the selection of the wordlist, in exemplification, and in definition. This paper aims at improving the compilation of English–Chinese children's dictionaries (ECCDs) from a children's cognitive perspective. Children's dictionaries should not only be an abridgement or simplification of dictionaries for adults, because their target user group is immature, uninformed and untrained children. Informed by some innovations in current English learner's dictionaries, this paper pro­poses that the making of ECCDs needs to be improved in the following aspects. Firstly, instead of lexicographers' intuition, the selection of headwords should be based on an English corpus for Chinese children. Secondly, the words used in examples should be congruent with children's lim­ited cognitive and learning abilities. Thirdly, a multifaceted method of explanation should be pro­vided in order to assist children in understanding the meaning of headwords. Keywords: English–Chinese children's dictionaries, user focus, chil­dren's corpus, headwords, children's cognitive ability, illustrations, examples ; Verbetering van die samestelling van Engels–Chinese kinder­woor­de­boeke: Die kognitiewe perspektief van 'n kind. Kinderwoorde­boeke bestaan reeds meer as 'n duisend jaar in China, en speel 'n belangrike rol in die leerproses van kin­ders. Baie van dié wat in China saamgestel word, is egter ontoereikend in die keuse van die woor­delys, in die gebruik van voorbeelde en in die definisie. In hierdie artikel word gepoog om die same­stelling van Engels–Chinese kinderwoordeboeke (ECKWe) vanuit die kognitiewe perspektief van 'n kind te ver­beter. Kinderwoordeboeke behoort nie net 'n beknopte uitgawe of vereenvoudi­ging van woor­de­boeke vir volwassenes te wees nie, want hul teikengebruikersgroep is onvolwasse, oningeligte en onopgeleide kinders. Aangespoor deur sommige vernuwings in huidige Engelse aan­leerders­woor­de­boeke, word daar in hierdie artikel voorgestel dat die samestelling van ECKWe ten opsigte van die volgende aspekte verbeter moet word. Eerstens behoort die seleksie van tref­woorde op 'n Engelse korpus vir Chinese kinders en nie op leksikografiese intuïsie geba­seer te word nie. Twee­dens behoort die woorde wat in voorbeelde gebruik word, in ooreenstemming met kinders se beperkte kog­nitiewe en aanleervermoëns te wees. Derdens behoort 'n veelvlakkige metode vir ver­dui­deliking verskaf te word om sodoende kinders te help om die betekenis van tref­woorde te kan begryp. Sleutelwoorde: Engels–Chinese kinderwoordeboeke, gebruikersfokus, kin­der­korpus, trefwoorde, kinders se kognitiewe vermoëns, illustrasies, voor­beelde URL: https://lexikos.journals.ac.za/pub/article/view/1681 https://doi.org/10.5788/32-1-1681 BASE Hide details 8 Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ... Xu, Lvxiaowei; Pang, Xiaoxuan; Wu, Jianwang. - : arXiv, 2022 BASE Show details 9 huggingface/datasets: 1.18.1 ... Lhoest, Quentin; Moral, Albert Villanova Del; Von Platen, Patrick. - : Zenodo, 2022 BASE Show details 10 Multilingual CoNaLa Datset, train data ... Zhiruo Wang; Cuenca, Grace; Shuyan Zhou. - : Zenodo, 2022 BASE Show details 11 Multilingual CoNaLa Datset, train data ... Zhiruo Wang; Cuenca, Grace; Shuyan Zhou. - : Zenodo, 2022 BASE Show details 12 The temporal (re-)construal of experience: how native speakers of English and advanced Chinese learners select and interpret simple past/present tenses ... Xu, Jiahuan. - : Macquarie University, 2022 BASE Show details 13 The temporal (re-)construal of experience: how native speakers of English and advanced Chinese learners select and interpret simple past/present tenses ... Xu, Jiahuan. - : Macquarie University, 2022 BASE Show details 14 MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages ... Wang, Zhiruo; Cuenca, Grace; Zhou, Shuyan. - : arXiv, 2022 BASE Show details 15 Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ... Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022 BASE Show details 16 Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ... Siddhant, Aditya; Bapna, Ankur; Firat, Orhan. - : arXiv, 2022 BASE Show details 17 CINO: A Chinese Minority Pre-trained Language Model ... Yang, Ziqing; Xu, Zihang; Cui, Yiming. - : arXiv, 2022 BASE Show details 18 Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework ... Gu, Jiaxi; Meng, Xiaojun; Lu, Guansong. - : arXiv, 2022 BASE Show details 19 Zero-shot Cross-lingual Conversational Semantic Role Labeling ... Wu, Han; Tan, Haochen; Xu, Kun. - : arXiv, 2022 BASE Show details 20 Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency ... Li, Yanyang; Luo, Fuli; Xu, Runxin. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...165

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