A Prototype System for Learning Structural Transfer Rules in the Apertium Machine Translation Platform
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2021
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Swarthmore College. Dept. of Linguistics
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en
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
This thesis develops a prototype system for automatically generating structural transfer rules for the Apertium machine translation platform in order to streamline the process of constructing language technology for
the benefit of under-privileged language communities. The current state of the system is described and found
to be potentially useful though not yet production-ready, the current primary limitations are identified, and
potential resolutions to these issues are discussed.