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1
Reading-Related Skills Associated With Acquisition of Chinese as a Second/Foreign Language: A Meta-Analysis
In: Front Psychol (2022)
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2
Professor C. K. Leong: in memoriam [<Journal>]
Kirby, John R. [Verfasser]; Georgiou, George K. [Verfasser]; Chen, Xi [Verfasser].
DNB Subject Category Language
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3
Word reading in English and Arabic in children who are Syrian refugees
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4
Learning orthographic and semantic representations (Shakory et al., 2021) ...
Shakory, Sharry; Chen, Xi; S. Hélène Deacon. - : ASHA journals, 2021
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5
Learning orthographic and semantic representations (Shakory et al., 2021) ...
Shakory, Sharry; Chen, Xi; S. Hélène Deacon. - : ASHA journals, 2021
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6
Accent Recognition with Hybrid Phonetic Features ...
Zhang, Zhan; Chen, Xi; Wang, Yuehai. - : arXiv, 2021
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7
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding ...
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8
First order and second order indirectness in Korean and Chinese
Chen, Xi; Wang, Jiayi. - : Elsevier, 2021
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9
Few-Shot Relation Extraction on Ancient Chinese Documents
In: Applied Sciences; Volume 11; Issue 24; Pages: 12060 (2021)
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10
Field Embedding: A Unified Grain-Based Framework for Word Representation ...
Abstract: Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.140/ Abstract: Word representations empowered with additional linguistic information have been widely studied and proved to outperform traditional embeddings. Current methods mainly focus on learning embeddings for words while embeddings of linguistic information (referred to as grain embeddings) are discarded after the learning. This work proposes a framework field embedding to jointly learn both word and grain embeddings by incorporating morphological, phonetic, and syntactical linguistic fields. The framework leverages an innovative fine-grained pipeline that integrates multiple linguistic fields and produces high-quality grain sequences for learning supreme word representations. A novel algorithm is also designed to learn embeddings for words and grains by capturing information that is contained within each field and that is shared across them. Experimental results of lexical tasks and downstream natural language ...
Keyword: Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
URL: https://underline.io/lecture/19944-field-embedding-a-unified-grain-based-framework-for-word-representation
https://dx.doi.org/10.48448/p6s8-9476
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11
First order and second order indirectness in Korean and Chinese
Chen, Xi; Wang, Jiayi. - : Elsevier, 2021
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12
Resettled Syrian Refugee Children in Canada: Oral Language, Literacy and Well-being
Al-Janaideh, Redab. - : University of Toronto, 2021
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13
Morphosyntactic Development in First Generation Arabic—English Children: The Effect of Cognitive, Age, and Input Factors over Time and across Languages
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14
Língua e vivências culturais: provérbios sobre a alimentação em português e chinês ; Language and cultural experiences: proverbs about food in portuguese and Chinese
Chen Xi. - 2021
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15
How language environment, age and cognitive capacity support the bilingual development of Syrian refugee children recently arrived in Canada
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16
An Industry Evaluation of Embedding-based Entity Alignment ...
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17
Correcting Knowledge Base Assertions ...
Chen, Jiaoyan; Chen, Xi; Horrocks, Ian. - : arXiv, 2020
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18
Evaluating the Oral Language Skills of English-Stream and French Immersion Students: Are the CLB/NCLC Applicable?
Burchell, Diana; Hipfner-Boucher, Kathleen; Selvachandran, Janani. - : University of New Brunswick, 2020. : Érudit, 2020
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19
Fighting COVID-19 in East Asia: The role of classical Chinese poetry
Chen, Xi. - : De Gruyter Mouton, 2020
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20
The relationship between stereotypical meaning and contextual meaning of Korean honorifics
Chen, Xi; Lee, Jungmin. - : Elsevier, 2020
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