Translation criticism lacks methods with which to efficiently measure the thematic similarity between a source text and its translation. To address this problem, we focused on a method of automatically assessing such thematic similarity. We proposed a bag-of-words-based LDA topic model to uncover latent topics in a document and used the cosine similarity measure to compute the similarity between topics. We hypothesized that the similarity between the topics of an original text and its translation reflects the level of thematic similarity between them. To test the hypothesis, we applied the proposed LDA-cosine method to a novel by F. M. Dostoevsky, “The Brothers Karamazov” (1880), and its English translation by Constance Garnett (1912). Two texts were assumed to be thematically similar to a high degree. We used the results of the method´s application to test this assumption.
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Natali Karlova-Bourbonus is a Ph.D. student in the Department of Applied Linguistics at the University of Giessen and writes her dissertation on automatic detection of contradictions in texts. She received her B.A. in German Literature from the University of Constance and M.A. in Computational Linguistics from the Technical University of Darmstadt.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Translation criticism lacks methods with which to efficiently measure the thematic similarity between a source text and its translation. To address this problem, we focused on a method of automatically assessing such thematic similarity. We proposed a bag-of-words-based LDA topic model to uncover latent topics in a document and used the cosine similarity measure to compute the similarity between topics. We hypothesized that the similarity between the topics of an original text and its translation reflects the level of thematic similarity between them. To test the hypothesis, we applied the proposed LDA-cosine method to a novel by F. M. Dostoevsky, 'The Brothers Karamazov' (1880), and its English translation by Constance Garnett (1912). Two texts were assumed to be thematically similar to a high degree. We used the results of the method s application to test this assumption. 96 pp. Englisch. N° de réf. du vendeur 9783639498943
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karlova-Bourbonus NataliNatali Karlova-Bourbonus is a Ph.D. student in the Department of Applied Linguistics at the University of Giessen and writes her dissertation on automatic detection of contradictions in texts. She received her. N° de réf. du vendeur 4992606
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Translation criticism lacks methods with which to efficiently measure the thematic similarity between a source text and its translation. To address this problem, we focused on a method of automatically assessing such thematic similarity. We proposed a bag-of-words-based LDA topic model to uncover latent topics in a document and used the cosine similarity measure to compute the similarity between topics. We hypothesized that the similarity between the topics of an original text and its translation reflects the level of thematic similarity between them. To test the hypothesis, we applied the proposed LDA-cosine method to a novel by F. M. Dostoevsky, 'The Brothers Karamazov' (1880), and its English translation by Constance Garnett (1912). Two texts were assumed to be thematically similar to a high degree. We used the results of the method s application to test this assumption. N° de réf. du vendeur 9783639498943
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Translation criticism lacks methods with which to efficiently measure the thematic similarity between a source text and its translation. To address this problem, we focused on a method of automatically assessing such thematic similarity. We proposed a bag-of-words-based LDA topic model to uncover latent topics in a document and used the cosine similarity measure to compute the similarity between topics. We hypothesized that the similarity between the topics of an original text and its translation reflects the level of thematic similarity between them. To test the hypothesis, we applied the proposed LDA-cosine method to a novel by F. M. Dostoevsky, ¿The Brothers Karamazov¿ (1880), and its English translation by Constance Garnett (1912). Two texts were assumed to be thematically similar to a high degree. We used the results of the method¿s application to test this assumption.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. N° de réf. du vendeur 9783639498943
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Taschenbuch. Etat : Neu. Translation Quality Assessment | Assessing Thematic Similarity between Original Text and its Translation using LDA Topic Model | Natali Karlova-Bourbonus | Taschenbuch | 96 S. | Englisch | 2015 | AV Akademikerverlag | EAN 9783639498943 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105456002
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