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Proficiency and the Use of Machine Translation: A Case Study of Four Japanese Learners
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In: L2 Journal, vol 14, iss 1 (2022)
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| 2 |
On the characteristic of personal reference terms in Korean: A comparison with Japanese based on TV dramas
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In: Conference Proceedings for the 9th Korean Studies Association of Australia (KSAA) Biennial Conference 2015 (2022)
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| 8 |
A Proposed Resolution to the Problem of Geographical Inversion in Japanese Language Origins
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| 10 |
Το haiku, η δυτική του πρόσληψη και αναφορές στην αξιοποίησή του από τον Γιώργο Σεφέρη ...
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| 11 |
Prediction of upcoming pitch accent using Sandhi rules in Kansai Japanese: A web-based visual world eye-tracking study ...
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| 12 |
Lexical Category and Downstep in Japanese
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In: Languages; Volume 7; Issue 1; Pages: 25 (2022)
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| 13 |
Estimating the Emotional Information in Japanese Songs Using Search Engines
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In: Sensors; Volume 22; Issue 5; Pages: 1800 (2022)
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Abstract:
Several studies have shown that music can reduce unpleasant emotions. Based on the results of this research, several systems have been proposed to suggest songs that match the emotions of the audience. As a part of the system, we aim to develop a method that can infer the emotional value of a song from its Japanese lyrics with higher accuracy, by applying the technology of inferring the emotions expressed in sentences. In addition to matching with a basic emotion dictionary, we use a Web search engine to evaluate the sentiment of words that are not included in the dictionary. As a further improvement, as a pre-processing of the input to the system, the system corrects the omissions of the following verbs or particles and inverted sentences, which are frequently used in Japanese lyrics, into normal sentences. We quantitatively evaluate the degree to which these processes improve the emotion estimation system. The results show that the preprocessing could improve the accuracy by about 4%. Japanese lyrics contain many informal sentences such as inversions. We pre-processed these sentences into formal sentences and investigated the effect of the pre-processing on the emotional inference of the lyrics. The results show that the preprocessing may improve the accuracy of emotion estimation.
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Keyword:
emotion tagging; Japanese song lyrics; mood management; search engine
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URL: https://doi.org/10.3390/s22051800
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| 14 |
Effects of Japanese Special Moras Education Using Evernote
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In: Education Sciences; Volume 12; Issue 4; Pages: 270 (2022)
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| 15 |
On the Limits of Across-the-Board Movement: Distributed Extraction Coordinations
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In: Philosophies; Volume 7; Issue 1; Pages: 10 (2022)
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| 16 |
Predicate Morphology and Narrative Structure in Early Heian Japanese Buddhist Texts: A Case Study of the Saidaiji Golden Light Sutra
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| 17 |
Language learning through interaction: Online and in the classroom
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In: The Coastal Review: An Online Peer-reviewed Journal (2022)
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| 18 |
Translation and equivalences between languages and cultures: Portuguese and Japanese proverbs ; 言語と文化の中にある翻訳と互換性: ポルトガル語と日本語の格言から
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Teixeira, José. - : Aichi Prefectural University. Graduate School of International Cultural Studies, 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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