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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 Hits 1 – 20 of 74 1 Challenges and responses: A Complex Dynamic Systems approach to exploring language teacher agency in a blended classroom Qi, GY; Wang, Y. - : The JALT CALL SIG, 2022 BASE Show details 2 Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding Cao, R; Wang, Y; Liang, Y. - : Association for Computational Linguistics, 2022 BASE Show details 3 Eliciting positive emotion through strategic responses to COVID-19 crisis: evidence from the tourism sector Li, S.; Wang, Y.; Filieri, R.. - : Elsevier, 2022 BASE Show details 4 Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach Hajiheydari, N.; Delgosha, M.S.; Wang, Y.. - : Emerald, 2021 BASE Show details 5 Voice for oneself: Self-interested voice and its antecedents and consequences Duan, J; Xu, Y; Wang, X. - : Wiley, 2021 BASE Show details 6 The trans-ancestral genomic architecture of glycemic traits Chen, J; Spracklen, CN; Marenne, G. - : Nature Research, 2021 BASE Show details 7 The trans-ancestral genomic architecture of glycemic traits. Chen, J; Spracklen, CN; Marenne, G. - 2021 BASE Show details 8 Into the Real World: Autonomous and Integrated Chinese Language Learning Through a 3D Immersive Experience Wang, Y; Grist, M; Grant, S. - : Springer, 2021 BASE Show details 9 The trans-ancestral genomic architecture of glycemic traits. Chen, J.; Spracklen, C.N.; Marenne, G.... In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021) BASE Show details 10 Finding my voice: an interdisciplinary and multi-methodological investigation into the relationship between performers’ speech and musical expression Wang, Y.. - 2020 BASE Show details 11 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ... Knill, Katherine; Wang, L; Wang, Y. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 12 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020 BASE Show details 13 Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W.... In: Eur Phys J C Part Fields (2020) BASE Show details 14 Enhancing the learning of multi-level undergraduate Chinese language with a 3D immersive experience - an exploratory study Wang, Y; Grant, S; Grist, M. - : Routledge, 2020 BASE Show details 15 Internal Meanings of the Language in Russian-Chinese Translation ... : Передача внутрилингвистических значений в русско-китайском переводе ... Wang, Y.. - : ООО «Книжный дом», 2019 BASE Show details 16 Exploiting future word contexts in neural network language models for speech recognition Chen, X.; Liu, X.; Wang, Y.. - : Institute of Electrical and Electronics Engineers (IEEE), 2019 BASE Show details 17 Impact of ASR performance on free speaking language assessment ... Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos; Malinin, A; Ragni, Anton; Wang, Y; Caines, Andrew. - : Apollo - University of Cambridge Repository, 2018 Abstract: In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows the spoken language proficiency of a non-native speaker of English to be assessed more fully than read aloud tests. As the candidate's responses are unscripted, transcription by automatic speech recognition (ASR) is essential for automated assessment. ASR will never be 100% accurate so any assessment system must seek to minimise and mitigate ASR errors. This paper considers the impact of ASR errors on the performance of free speaking test auto-marking systems. Firstly rich linguistically related features, based on part-of-speech tags from statistical parse trees, are investigated for assessment. Then, the impact of ASR errors on how well the system can detect whether a learner's answer is relevant to the question asked is evaluated. Finally, the impact that these errors may have on the ability of the system to provide detailed feedback to the learner is analysed. In particular, pronunciation and grammatical ... URL: https://www.repository.cam.ac.uk/handle/1810/284138 https://dx.doi.org/10.17863/cam.31509 BASE Hide details 18 Phonetic and graphemic systems for multi-genre broadcast transcription Wang, Y.; Chen, X.; Gales, M.J.F.. - : IEEE, 2018 BASE Show details 19 Impact of ASR performance on free speaking language assessment Knill, K.; Gales, M.; Kyriakopoulos, K.. - : International Speech Communication Association (ISCA), 2018 BASE Show details 20 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2018 BASE Show details Page: 1 2 3 4

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