Abstract
Parallel Corpora are a basic resource for research in bilingual and multilingual Natural Language Process (NLP), comparative linguistics, and translational studies. The basic unit of semantics in natural language is the phrase with fixed form and meaning. Phrasal alignment is a very important application for a parallel corpus. The current paper adopts a “analyze-analyze-match” strategy to select phrases for alignment from a parallel corpus of Chinese and Arabic. An aligned phrase database is built and the verbal phrases are compared between Chinese and Arabic. Verbal phrases in Arabic typically have three categories: Verb + Noun Phrase, Verb + Prepositional Phrase, and Particle + Verb. When aligned to Chinese phrases, each category of Arabic verb phrase corresponds to a number of phrase categories, including verb phrases, as well as noun phrases and prepositional phrases. The translational examples and rules derived from the aligned Arabic and Chinese phrases can have important supporting role in translational studies and comparative linguistics research.
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Akef, A.M., Wang, Y., Yang, E. (2018). Construction of a Database of Parallel Phrases in Chinese and Arabic. In: Wu, Y., Hong, JF., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2017. Lecture Notes in Computer Science(), vol 10709. Springer, Cham. https://doi.org/10.1007/978-3-319-73573-3_49
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DOI: https://doi.org/10.1007/978-3-319-73573-3_49
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