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1
A Reference Grammar of Jixi Hui
Jian, Wang. - Berlin : de Gruyter Mouton, 2022
DNB Subject Category Language
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2
The "Fat Face" illusion: A robust adaptation for processing pairs of faces
In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-03579276 ; Vision Research, Elsevier, 2022, 195, pp.108015. ⟨10.1016/j.visres.2022.108015⟩ (2022)
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3
Intermedial Effects, Sanctified Surfaces: Embedded Devotional Objects in Italian Medieval Mural Decoration
Wang, Alexis. - 2022
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4
Graph theoretical analysis reveals the adaptive role of the left ventral occipito-temporal cortex in the brain networks during speech processing
In: https://hal.archives-ouvertes.fr/hal-03576260 ; 2022 (2022)
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5
Inter-Individual Variability in Dorsal Stream Dynamics During Word Production
In: https://hal.archives-ouvertes.fr/hal-03629184 ; 2022 (2022)
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6
A review of Earth Artificial Intelligence
Sun, Z; Sandoval, L; Crystal-Ornelas, R. - : eScholarship, University of California, 2022
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7
Sentiment Analysis of the Undergraduate STEM Community at UCLA Using the Bruinwalk Course Reviews
Wang, Kaixin. - : eScholarship, University of California, 2022
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8
L’interview d’Alain Lemaréchal ; 法国语言学家 Faguo yuyanxuejia A. Lemaréchal fangtan
In: In Xiuli Wang (éd) 法国著名语言学家采访录Faguo dangdai yuyanxuejia caifanglu [Recueil d’interviews d’éminents linguistes français] ; https://hal.archives-ouvertes.fr/hal-03551905 ; In Xiuli Wang (éd) 法国著名语言学家采访录Faguo dangdai yuyanxuejia caifanglu [Recueil d’interviews d’éminents linguistes français], 2022 (2022)
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9
Detecting Tax Avoidance: Evidence from Quantitative and Linguistic Cues ...
Wang, Yicheng. - : University of Liverpool Repository, 2022
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10
Sentence repetition as a clinical marker for Mandarin DLD (Wang et al., 2022) ...
Wang, Danyang; Zheng, Li; Lin, Yuanyuan. - : ASHA journals, 2022
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11
Sentence repetition as a clinical marker for Mandarin DLD (Wang et al., 2022) ...
Wang, Danyang; Zheng, Li; Lin, Yuanyuan. - : ASHA journals, 2022
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12
How does sleeping help language acquisition? A meta-analysis ...
Shijie Wang. - : Unpublished, 2022
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13
Genetic admixture of Chinese Tajik people inferred from genome-wide array genotyping and mitochondrial genome sequencing ...
Zhao, Jing; Wu, Qiao; Chuan-Chao Wang. - : Zenodo, 2022
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14
Genetic admixture of Chinese Tajik people inferred from genome-wide array genotyping and mitochondrial genome sequencing ...
Zhao, Jing; Wu, Qiao; Chuan-Chao Wang. - : Zenodo, 2022
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15
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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16
Machine learning reveals cryptic dialects that explain mate choice in a songbird ...
Wang, Daiping; Forstmeier, Wolfgang; Farine, Damien R. - : Nature Publishing Group, 2022
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17
The song of a life of a person
Sims, Nathaniel; Bai, Jianqiong; 王金龙 (WANG Jinlong). - : Smithsonian institute, center for folklife and cultural heritage, 2022
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18
兒童華語教材中的飲食文化分析:以《學華語向前走》為例 ; Analysis of Food Culture of Chinese Teaching Material for Children — With Reference to “Let’s Learn Chinese”
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19
Mining an English-Chinese parallel Dataset of Financial News
In: Journal of Open Humanities Data; Vol 8 (2022); 9 ; 2059-481X (2022)
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20
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
Abstract: Contextual biasing is an important and challenging task for end-to-end automatic speech recognition (ASR) systems, which aims to achieve better recognition performance by biasing the ASR system to particular context phrases such as person names, music list, proper nouns, etc. Existing methods mainly include contextual LM biasing and adding bias encoder into end-to-end ASR models. In this work, we introduce a novel approach to do contextual biasing by adding a contextual spelling correction model on top of the end-to-end ASR system. We incorporate contextual information into a sequence-to-sequence spelling correction model with a shared context encoder. Our proposed model includes two different mechanisms: autoregressive (AR) and non-autoregressive (NAR). We propose filtering algorithms to handle large-size context lists, and performance balancing mechanisms to control the biasing degree of the model. We demonstrate the proposed model is a general biasing solution which is domain-insensitive and can be ... : This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2203.00888
https://arxiv.org/abs/2203.00888
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