Date of Award
Spring 5-2018
Degree Type
Honors College Thesis
Department
Computing
First Advisor
Tom Rishel
Second Advisor
Leah Fonder-Solano
Advisor Department
Computing; Foreign Languages and Literature
Abstract
The focus of the research presented in the paper is translating the non-literal interpretation of proverbs from Spanish to English without changing their intended meaning. Proverbs have limited variation in comparison to slang, poetry, and metaphors which tend to differ significantly within the context that they are used. Although there are many other approaches for machine translation (MT), the one most suitable for the research project is Phrased Based Statistical Machine translation used in conjunction with the Grammatical Category- Based approach.
Copyright
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Recommended Citation
Spencer, Teneala, "Proverbial Machine Translation: Translating Proverbs between Spanish and English Using Phrased Based Statistical Machine Translation with the Grammatical Category Based Approach" (2018). Honors Theses. 617.
https://aquila.usm.edu/honors_theses/617