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  • Improving the Polish-Russian Language Pair in Apertium Machine Translation System and Applying Weighted Transfer Rules

Improving the Polish-Russian Language Pair in Apertium Machine Translation System and Applying Weighted Transfer Rules

Student: Sheyanova Mariya

Supervisor: Timofey Arkhangelskiy

Faculty: Faculty of Humanities

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Final Grade: 9

Year of Graduation: 2017

The aim of this project is to improve a rule-based machine translation system for the Polish-Russian language pair based on the Apertium platform. A large amount of work for creating this system was made by me during Google Summer of Code 2016, thus, this research is continuation of the previous work. As part of this work, I improve the dictionaries, raise the number of constraint grammar rules and structural transfer rules. An important part of this work is application of weighted rules of structural transfer using an implementation of an algorithm for assigning weights to the context patterns, made Nikita Medyankin during Google Summer of Code 2016. The hypothesis is that, in any case, the quality of translation made using weighted rules will improve compared to the previous state of the system.

Full text (added May 30, 2017)

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