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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 6 7 8...554 Hits 61 – 80 of 11.066 61 Automatic Dialect Density Estimation for African American English ... Johnson, Alexander; Everson, Kevin; Ravi, Vijay. - : arXiv, 2022 BASE Show details 62 Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection ... Kovatchev, Venelin; Gupta, Soumyajit; Lease, Matthew. - : arXiv, 2022 BASE Show details 63 Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ... Litake, Onkar; Sabane, Maithili; Patil, Parth. - : arXiv, 2022 BASE Show details 64 Sense disambiguation of compound constituents ... Schackow, Carlo; Conrad, Stefan; Plag, Ingo. - : arXiv, 2022 BASE Show details 65 End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ... Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022 BASE Show details 66 CaMEL: Case Marker Extraction without Labels ... Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili. - : arXiv, 2022 BASE Show details 67 Large-scale Bilingual Language-Image Contrastive Learning ... Ko, Byungsoo; Gu, Geonmo. - : arXiv, 2022 BASE Show details 68 Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ... Wang, Xiaoqiang; Liu, Yanqing; Li, Jinyu. - : arXiv, 2022 BASE Show details 69 Semantic properties of English nominal pluralization: Insights from word embeddings ... Shafaei-Bajestan, Elnaz; Moradipour-Tari, Masoumeh; Uhrig, Peter. - : arXiv, 2022 BASE Show details 70 Probing for the Usage of Grammatical Number ... Lasri, Karim; Pimentel, Tiago; Lenci, Alessandro. - : arXiv, 2022 BASE Show details 71 Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ... Kabir, Md. Ahsanul; Almulhim, AlJohara; Luo, Xiao. - : arXiv, 2022 BASE Show details 72 NorDiaChange: Diachronic Semantic Change Dataset for Norwegian ... Kutuzov, Andrey; Touileb, Samia; Mæhlum, Petter. - : arXiv, 2022 BASE Show details 73 Toxicity Detection for Indic Multilingual Social Media Content ... Jhaveri, Manan; Ramaiya, Devanshu; Chadha, Harveen Singh. - : arXiv, 2022 BASE Show details 74 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 75 SciNLI: A Corpus for Natural Language Inference on Scientific Text ... Sadat, Mobashir; Caragea, Cornelia. - : arXiv, 2022 BASE Show details 76 SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ... Tsiamas, Ioannis; Gállego, Gerard I.; Fonollosa, José A. R.; Costa-jussà, Marta R.. - : arXiv, 2022 Abstract: Speech translation models are unable to directly process long audios, like TED talks, which have to be split into shorter segments. Speech translation datasets provide manual segmentations of the audios, which are not available in real-world scenarios, and existing segmentation methods usually significantly reduce translation quality at inference time. To bridge the gap between the manual segmentation of training and the automatic one at inference, we propose Supervised Hybrid Audio Segmentation (SHAS), a method that can effectively learn the optimal segmentation from any manually segmented speech corpus. First, we train a classifier to identify the included frames in a segmentation, using speech representations from a pre-trained wav2vec 2.0. The optimal splitting points are then found by a probabilistic Divide-and-Conquer algorithm that progressively splits at the frame of lowest probability until all segments are below a pre-specified length. Experiments on MuST-C and mTEDx show that the translation of ... : Submitted to Interspeech 2022, 5 pages. Previous version (v1) has additionally a 2-page Appendix ... 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://arxiv.org/abs/2202.04774 https://dx.doi.org/10.48550/arxiv.2202.04774 BASE Hide details 77 A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns ... List, Johann-Mattis; Forkel, Robert; Hill, Nathan W.. - : arXiv, 2022 BASE Show details 78 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 79 Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity ... Rosati, Domenic. - : arXiv, 2022 BASE Show details 80 The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking ... Li, Yinghui; Zhou, Qingyu; Li, Yangning. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8...554

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