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Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension ...
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Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages ...
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A Short Introduction to Information-Theoretic Cost-Benefit Analysis ...
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44 |
YACLC: A Chinese Learner Corpus with Multidimensional Annotation ...
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ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation ...
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Lovenia, Holy; Cahyawijaya, Samuel; Winata, Genta Indra; Xu, Peng; Yan, Xu; Liu, Zihan; Frieske, Rita; Yu, Tiezheng; Dai, Wenliang; Barezi, Elham J.; Chen, Qifeng; Ma, Xiaojuan; Shi, Bertram E.; Fung, Pascale. - : arXiv, 2021
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Abstract:
Code-switching is a speech phenomenon occurring when a speaker switches language during a conversation. Despite the spontaneous nature of code-switching in conversational spoken language, most existing works collect code-switching data from read speech instead of spontaneous speech. ASCEND (A Spontaneous Chinese-English Dataset) is a high-quality Mandarin Chinese-English code-switching corpus built on spontaneous multi-turn conversational dialogue sources collected in Hong Kong. We report ASCEND's design and procedure for collecting the speech data, including annotations. ASCEND consists of 10.62 hours of clean speech, collected from 23 bilingual speakers of Chinese and English. Furthermore, we conduct baseline experiments using pre-trained wav2vec 2.0 models, achieving a best performance of 22.69\% character error rate and 27.05% mixed error rate. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2112.06223 https://dx.doi.org/10.48550/arxiv.2112.06223
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Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation ...
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Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training ...
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Modeling Bilingual Conversational Characteristics for Neural Chat Translation ...
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CPM-2: Large-scale Cost-effective Pre-trained Language Models ...
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Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding ...
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Rethinking the Two-Stage Framework for Grounded Situation Recognition ...
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Knowledge Graph Completion with Text-aided Regularization ...
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Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms ...
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Automatic Construction of Sememe Knowledge Bases via Dictionaries ...
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An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation ...
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Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors ...
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Personalized Transformer for Explainable Recommendation ...
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CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge ...
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