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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...76 Hits 1 – 20 of 1.507 1 Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ... Borg, Markus; Bengtsson, Johan; Österling, Harald. - : arXiv, 2022 BASE Show details 2 Improve Sentence Alignment by Divide-and-conquer ... Zhang, Wu. - : arXiv, 2022 BASE Show details 3 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 4 SMDT: Selective Memory-Augmented Neural Document Translation ... Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022 BASE Show details 5 CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning ... Jaimini, Utkarshani; Sheth, Amit. - : arXiv, 2022 BASE Show details 6 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 7 Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ... Cui, Chenxuan; Zhang, Katherine J.; Mortensen, David R.. - : arXiv, 2022 BASE Show details 8 Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ... Lian, Jiachen; Black, Alan W; Goldstein, Louis. - : arXiv, 2022 BASE Show details 9 Modeling Intensification for Sign Language Generation: A Computational Approach ... İnan, Mert; Zhong, Yang; Hassan, Sabit. - : arXiv, 2022 BASE Show details 10 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 11 Open Source HamNoSys Parser for Multilingual Sign Language Encoding ... Majchrowska, Sylwia; Plantykow, Marta; Olech, Milena. - : arXiv, 2022 BASE Show details 12 A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ... Madhiarasan, Dr. M.; Roy, Prof. Partha Pratim. - : arXiv, 2022 BASE Show details 13 Sign Language Video Retrieval with Free-Form Textual Queries ... Duarte, Amanda; Albanie, Samuel; Giró-i-Nieto, Xavier. - : arXiv, 2022 BASE Show details 14 Sign Language Recognition System using TensorFlow Object Detection API ... Srivastava, Sharvani; Gangwar, Amisha; Mishra, Richa. - : arXiv, 2022 BASE Show details 15 pNLP-Mixer: an Efficient all-MLP Architecture for Language ... Fusco, Francesco; Pascual, Damian; Staar, Peter. - : arXiv, 2022 BASE Show details 16 ParaNames: A Massively Multilingual Entity Name Corpus ... Sälevä, Jonne; Lignos, Constantine. - : arXiv, 2022 BASE Show details 17 Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ... Maronikolakis, Antonis; Wisiorek, Axel; Nann, Leah. - : arXiv, 2022 BASE Show details 18 Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training ... Yang, J.; He, Lei. - : arXiv, 2022 Abstract: In cross-lingual speech synthesis, the speech in various languages can be synthesized for a monoglot speaker. Normally, only the data of monoglot speakers are available for model training, thus the speaker similarity is relatively low between the synthesized cross-lingual speech and the native language recordings. Based on the multilingual transformer text-to-speech model, this paper studies a multi-task learning framework to improve the cross-lingual speaker similarity. To further improve the speaker similarity, joint training with a speaker classifier is proposed. Here, a scheme similar to parallel scheduled sampling is proposed to train the transformer model efficiently to avoid breaking the parallel training mechanism when introducing joint training. By using multi-task learning and speaker classifier joint training, in subjective and objective evaluations, the cross-lingual speaker similarity can be consistently improved for both the seen and unseen speakers in the training set. ... Keyword: Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2201.08124 https://dx.doi.org/10.48550/arxiv.2201.08124 BASE Hide details 19 Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ... Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022 BASE Show details 20 Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ... Qi, Fanchao; Lv, Chuancheng; Liu, Zhiyuan. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...76

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