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21
On the morpho-semantic puzzle of superlative modifiers
In: CLS 54, 2018 : proceedings of the fifty-fourth annual meeting of the Chicago Linguistic Society (2019), S. 69-83
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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22
EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation ...
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23
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings ...
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24
Higher Levels of Early Childhood Caries (ECC) Is Associated with Developing Psychomotor Deficiency: The Cross- Sectional Bi-Township Analysis for The New Hypothesis
In: International Journal of Environmental Research and Public Health ; Volume 16 ; Issue 17 (2019)
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25
Another look at superlative modifiers as modified superlatives
In: Sinn und Bedeutung; Bd. 23 Nr. 1 (2019): Proceedings of Sinn und Bedeutung 23; 231-248 ; Proceedings of Sinn und Bedeutung; Vol 23 No 1 (2019): Proceedings of Sinn und Bedeutung 23; 231-248 ; 2629-6055 (2019)
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26
Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences ...
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27
The tongue features associated with type 2 diabetes mellitus
Hsu, Po-Chi; Wu, Han-Kuei; Huang, Yu-Chuen. - : Wolters Kluwer Health, 2019
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28
Uso del teléfono inteligente en universitarios taiwaneses y la paradoja de la privacidad
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 60, 2019, pags. 61-70 (2019)
BASE
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29
Preschool children’s early writing: repeated measures reveal growing but variable trajectories [<Journal>]
Campbell, Kelly [Verfasser]; Chen, Yi-Jui [Verfasser]; Shenoy, Sunaina [Verfasser].
DNB Subject Category Language
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30
Transient but Effective? Captioning and Adolescent EFL Learners’ Spoken Vocabulary Acquisition [<Journal>]
Todd, Andrew Graeme [Sonstige]; Chen, Yi-Ru [Verfasser]; Liu, Yeu-Ting [Sonstige]
DNB Subject Category Language
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31
Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-01833739 ; Eur.Phys.J.C, 2018, 78 (6), pp.509. &#x27E8;10.1140/epjc/s10052-018-5950-6&#x27E9; (2018)
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32
Cognitive and Linguistic Underpinnings of Orthographic Learning: Beyond the Effects of Phonological Decoding
CHEN, YI-JUI. - : eScholarship, University of California, 2018
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33
Facebook Reaction-Based Emotion Classifier as Cue for Sarcasm Detection ...
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34
Superlative modifiers ...
Chen, Yi-Hsun. - : No Publisher Supplied, 2018
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35
A northern Chinese origin of Austronesian agriculture: new evidence on traditional Formosan cereals ...
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36
A northern Chinese origin of Austronesian agriculture: new evidence on traditional Formosan cereals ...
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37
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data ...
Abstract: Producing a large amount of annotated speech data for training ASR systems remains difficult for more than 95% of languages all over the world which are low-resourced. However, we note human babies start to learn the language by the sounds of a small number of exemplar words without hearing a large amount of data. We initiate some preliminary work in this direction in this paper. Audio Word2Vec is used to obtain embeddings of spoken words which carry phonetic information extracted from the signals. An autoencoder is used to generate embeddings of text words based on the articulatory features for the phoneme sequences. Both sets of embeddings for spoken and text words describe similar phonetic structures among words in their respective latent spaces. A mapping relation from the audio embeddings to text embeddings actually gives the word-level ASR. This can be learned by aligning a small number of spoken words and the corresponding text words in the embedding spaces. In the initial experiments only 200 ...
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://dx.doi.org/10.48550/arxiv.1810.12566
https://arxiv.org/abs/1810.12566
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38
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval ...
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39
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only ...
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40
Beyond Allopatric Speciation: Testing for Genetic Homogeneity in Duttaphrynus melanostictus in Relation to Human- induced Dispersal
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