Abstract
With the development of computer and Internet, applications based on bilingual (or multilingual) parallel corpora are increasing in the field of natural language processing. In addition to the application of machine translation, the construction of parallel corpus is also of great value for bilingual dictionary compilation, word meaning disambiguation and cross language information retrieval. At present, the bilingual corpus of word alignment and sentence alignment has a large scale, and the related alignment algorithms are also relatively mature. In contrast, the chunk level alignment algorithm remains to be studied, and the chunk level alignment corpus required by the alignment algorithm is quite lacking. The construction of bilingual corpus and its automatic alignment are of great significance to the development of computational linguistics. At present, the existing bilingual corpora at home and abroad, especially Chinese-English bilingual corpora, are not large, the processing standards are not unified, and there is no general bilingual corpus that can be used publicly. It has laid a solid foundation for the large-scale establishment of bilingual language information and knowledge base with unified standards and norms, multi fields, multi genres and sentence level alignment.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Jie, S. (2023). Construction of Large-Scale Chinese-English Bilingual Corpus and Sentence Alignment. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_42
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DOI: https://doi.org/10.1007/978-3-031-23947-2_42
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