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Selbstreparaturen in der schriftlichen Interaktion : eine kontrastive Analyse deutscher und russischer Kurznachrichtenkommunikation
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BLLDB
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UB Frankfurt Linguistik
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Multilingual Email Zoning - Segmenting Multilingual Email Text Into Zones
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BASE
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Books of Hours: the First Liturgical Corpus for Text Segmentation
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02931294 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille (Virtual), France. pp.776-784 (2020)
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BASE
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Hierarchical Text Segmentation for Medieval Manuscripts
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In: COLING'2020 The 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03100170 ; COLING'2020 The 28th International Conference on Computational Linguistics, Dec 2020, Barcelona, Spain. pp.6240-6251 ; https://www.aclweb.org/anthology/2020.coling-main.549.pdf (2020)
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BASE
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Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems
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BAYOMI, MOSTAFA MOHAMED. - : Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019
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| 14 |
Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems
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BAYOMI, MOSTAFA. - : Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019
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BASE
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Working on Сomputer-Assisted Translation platforms: New advantages and new mistakes
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In: Russian journal of linguistics: Vestnik RUDN, Vol 23, Iss 2, Pp 544-561 (2019) (2019)
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Abstract:
The paper presents analysis of errors in translation on the CAT platform Smartcat, which accumulates all tools for computer-assisted translation (CAT) including a machine translation (MT) system and translation memory (TM). The research is conducted on the material of the translation on Smartcat platform (a joint project of a tourist guide translation (35,000 words) from Hebrew to Russian, English, and French). The errors on the CAT platform disclose difficulties in mastering text semantic coherence and stylistic features. The influence of English as lingua franca appears in peculiar orthographic and punctuation errors in the target text in Russian. Peculiar errors in translation on the CAT platform reveal the necessity of advanced technological competence in translators. The peculiar errors uncover problems associated with a source text segmentation into sentences. The segmentation can trigger a translator to preserve the sentence boundaries and use a Russian complicated compound sentence that provoke punctuation errors. Difficulties of the anaphora resolution in distant semantically coherent segments are also associated with the source text segmentation and working window formatting. A joint project presupposes different translators to translate different files of the source document. To generate the coherence, contiguity and integrity of the whole document, the files have to be revised by a third-party editor to avoid conflict of interest. The editor-reviser is also responsible for improving the target text pragmatic and genre characteristics while applying top-down strategy to target text analysis. Thus, the translator’s errors while applying CAT tools reveal the effect of bottom-up text processing alongside with cross-language interference.
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Keyword:
CAT platform; cross-language interference; P1-1091; Philology. Linguistics; text segmentation; translator’s errors
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URL: https://doi.org/10.22363/2312-9182-2019-23-2-544-561
https://doaj.org/article/04fde85b540e43ca883463ea946226a9
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