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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
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In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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| 3 |
Große Hoffnungen, große Hürden : Der Einfluss von bilingualem Lernen im außerschulischen Lernort Labor auf Leistung, Verständnis, Selbstkonzept, und Kreativität ...
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The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
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| 6 |
A argumentatividade na aula de Português Língua Materna: Uma competência crucial para o desenvolvimento da escrita nos Ensino Básico e Secundário
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| 7 |
Can distributional semantics explain performance on the false belief task? ...
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| 8 |
Cerebral Polymorphisms for Lateralisation: Modelling the Genetic and Phenotypic Architectures of Multiple Functional Modules
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In: Symmetry; Volume 14; Issue 4; Pages: 814 (2022)
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| 9 |
Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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| 10 |
The Competitive Advantage of the Indian and Korean Film Industries: An Empirical Analysis Using Natural Language Processing Methods
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4592 (2022)
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Abstract:
India has a longstanding reputation in the film industry, whereas South Korean films have only recently achieved notable success globally. Despite their significant positions in the global film market, there are very few studies that compare and analyze the competitive advantage of the two countries in the film industry. This paper adopts the ABCD model as a complementary framework to the two mainstream theories of strategic management (i.e., industry-based view and resource-based view) to analyze and compare the competitiveness of the industrial success of emerging countries. For the empirical test, this paper uses natural language processing methods to operationalize the theoretical model. After collecting text data from news articles in English related to the Korean and Indian film industries, this study analyzes how many keywords with regards to the 8 sub-factors of the ABCD model are mentioned in the articles using the document similarity measurement. The results reveal the different but complementary areas of strengths. India has higher competitiveness in the factor of Agility while Korea has higher competitiveness in Convergence. This study also highlights the areas for further development and potential partnership between the two countries by leveraging each other’s strengths.
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Keyword:
ABCD model; competitive advantage; film industry; India; Korea; natural language processing
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URL: https://doi.org/10.3390/app12094592
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| 11 |
Stability and Evolution of Synonyms and Homonyms in Signaling Game
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In: Entropy; Volume 24; Issue 2; Pages: 194 (2022)
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| 12 |
Deep Learning-Based End-to-End Language Development Screening for Children Using Linguistic Knowledge
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4651 (2022)
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| 13 |
Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
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In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022)
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| 14 |
AraConv: Developing an Arabic Task-Oriented Dialogue System Using Multi-Lingual Transformer Model mT5
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1881 (2022)
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| 15 |
Segmental and Prosodic Evidence for Property-by-Property Transfer in L3 English in Northern Africa
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In: Languages; Volume 7; Issue 1; Pages: 28 (2022)
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| 16 |
FORMS AND METHODS IN MODERN APPROACHES TO STUDENT SELF LEARNING ...
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| 17 |
FORMS AND METHODS IN MODERN APPROACHES TO STUDENT SELF LEARNING ...
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| 18 |
StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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| 19 |
THE INFLUENCE OF LINGUISTIC STYLE: A MATCHED-GUISE EXPERIMENT ASSESSING THE EFFECTS OF SOURCE ACCENT, ARGUMENT QUALITY, AND ISSUE INVOLVEMENT ON PERSUASION
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In: Theses and Dissertations--Communication (2022)
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| 20 |
Learning Argument Structures with Recurrent Neural Network Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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