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1
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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2
Deep Learning-Based End-to-End Language Development Screening for Children Using Linguistic Knowledge
In: Applied Sciences; Volume 12; Issue 9; Pages: 4651 (2022)
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3
STUDENT ACHIEVEMENT INDICATORS AT DEFENSE LANGUAGE INSTITUTE FOREIGN LANGUAGE CENTER
Brenner, Ian A.. - : Monterey, CA; Naval Postgraduate School, 2021
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4
Factors Behind the Effectiveness of an Unsupervised Neural Machine Translation System between Korean and Japanese
In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
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5
Tracking streams of information in the neural system for language ...
Armeni, Kristijan. - : Radboud University, 2021
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6
The Phonological Latching Network
In: Biolinguistics, Vol 14, Iss SI (2021) (2021)
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7
Lexical Strata and Phonotactic Perplexity Minimization
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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8
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020)
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9
Techniques Comparison for Natural Language Processing ...
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10
Techniques Comparison for Natural Language Processing ...
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11
What Limits our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?
In: Entropy ; Volume 22 ; Issue 4 (2020)
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12
Assessment of Word-Level Neural Language Models for Sentence Completion
In: Applied Sciences ; Volume 10 ; Issue 4 (2020)
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13
Automatic Language Identification Using Speech Rhythm Features for Multi-Lingual Speech Recognition
In: Applied Sciences ; Volume 10 ; Issue 7 (2020)
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14
Enhancing the Reasoning Capabilities of Natural Language Inference Models with Attention Mechanisms and External Knowledge
GAJBHIYE, AMIT. - 2020
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15
Techniques and components for natural language processing ; Методы и компоненты обработки естественного языка ; Методи та компоненти обробки природної мови
In: Adaptive systems of automatic control; Том 1, № 36 (2020): Adaptive Systems of Automatic Control; 93-113 ; Адаптивные системы автоматического управления; Том 1, № 36 (2020): Адаптивные системы автоматического управления; 93-113 ; Адаптивні системи автоматичного управління; Том 1, № 36 (2020): Адаптивні системи автоматичного управління; 93-113 ; 2522-9575 ; 1560-8956 (2020)
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16
A Reservoir Model for Intra-Sentential Code-Switching Comprehension in French and English
In: CogSci'19 - 41st Annual Meeting of the Cognitive Science Society ; https://hal.inria.fr/hal-02432831 ; CogSci'19 - 41st Annual Meeting of the Cognitive Science Society, Jul 2019, Montréal, Canada ; https://cognitivesciencesociety.org/cogsci-2019/ (2019)
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17
Learning Subword Embedding to Improve Uyghur Named-Entity Recognition
In: Information ; Volume 10 ; Issue 4 (2019)
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18
A High Efficient Biological Language Model for Predicting Protein–Protein Interactions
In: Cells ; Volume 8 ; Issue 2 (2019)
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19
Interfering ACE on comprehending embodied meaning in action-related Chinese counterfactual sentences
Wang, Huili; Yan, Xiaoli; Cao, Shuo. - : Cambridge University Press, 2019
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20
Translating pro-drop languages with reconstruction models
In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
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