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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 9...554 Hits 81 – 100 of 11.066 81 Informal Persian Universal Dependency Treebank ... Kabiri, Roya; Karimi, Simin; Surdeanu, Mihai. - : arXiv, 2022 BASE Show details 82 Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices ... Hernandez, Abner; Pérez-Toro, Paula Andrea; Vásquez-Correa, Juan Camilo. - : arXiv, 2022 BASE Show details 83 Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ... Georges, Marc-Antoine; Diard, Julien; Girin, Laurent. - : arXiv, 2022 BASE Show details 84 Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ... Soleymanpour, Mohammad; Johnson, Michael T.; Soleymanpour, Rahim. - : arXiv, 2022 BASE Show details 85 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 86 ConSLT: A Token-level Contrastive Framework for Sign Language Translation ... Fu, Biao; Ye, Peigen; Zhang, Liang. - : arXiv, 2022 BASE Show details 87 Modeling Intensification for Sign Language Generation: A Computational Approach ... İnan, Mert; Zhong, Yang; Hassan, Sabit. - : arXiv, 2022 BASE Show details 88 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 89 Open Source HamNoSys Parser for Multilingual Sign Language Encoding ... Majchrowska, Sylwia; Plantykow, Marta; Olech, Milena. - : arXiv, 2022 BASE Show details 90 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 91 Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ... Bird, Jordan J.. - : arXiv, 2022 BASE Show details 92 Searching for fingerspelled content in American Sign Language ... Shi, Bowen; Brentari, Diane; Shakhnarovich, Greg. - : arXiv, 2022 BASE Show details 93 A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ... Madhiarasan, Dr. M.; Roy, Prof. Partha Pratim. - : arXiv, 2022 BASE Show details 94 ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language ... de Amorim, Cleison Correia; Zanchettin, Cleber. - : arXiv, 2022 BASE Show details 95 Sign Language Video Retrieval with Free-Form Textual Queries ... Duarte, Amanda; Albanie, Samuel; Giró-i-Nieto, Xavier. - : arXiv, 2022 BASE Show details 96 Machine Translation from Signed to Spoken Languages: State of the Art and Challenges ... De Coster, Mathieu; Shterionov, Dimitar; Van Herreweghe, Mieke. - : arXiv, 2022 BASE Show details 97 All You Need In Sign Language Production ... Rastgoo, Razieh; Kiani, Kourosh; Escalera, Sergio. - : arXiv, 2022 BASE Show details 98 Extracting linguistic speech patterns of Japanese fictional characters using subword units ... Kishino, Mika; Komiya, Kanako. - : arXiv, 2022 Abstract: This study extracted and analyzed the linguistic speech patterns that characterize Japanese anime or game characters. Conventional morphological analyzers, such as MeCab, segment words with high performance, but they are unable to segment broken expressions or utterance endings that are not listed in the dictionary, which often appears in lines of anime or game characters. To overcome this challenge, we propose segmenting lines of Japanese anime or game characters using subword units that were proposed mainly for deep learning, and extracting frequently occurring strings to obtain expressions that characterize their utterances. We analyzed the subword units weighted by TF/IDF according to gender, age, and each anime character and show that they are linguistic speech patterns that are specific for each feature. Additionally, a classification experiment shows that the model with subword units outperformed that with the conventional method. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2203.02632 https://arxiv.org/abs/2203.02632 BASE Hide details 99 Interpreting Arabic Transformer Models ... Abdelali, Ahmed; Durrani, Nadir; Dalvi, Fahim. - : arXiv, 2022 BASE Show details 100 What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity ... Çöltekin, Çağrı; Rama, Taraka. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8 9...554

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