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ST. MARYS UNIVERSITY SCHOOL OF GRADUATE STUDYMorpheme Based BiDirectional Machine Translation The Case of Geez to Tigrigna A Thesis Submitted in Partial Fulfillment of the Requirement for the Degree
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Step 1: Understand the concept of morphemes and how they are used in linguistics.
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Step 2: Gather the necessary software and tools for creating a bi-directional machine.
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Step 3: Develop an algorithm that can analyze and generate morphemes in both directions.
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Step 4: Test the machine with different languages and verify its accuracy.
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Step 5: Fine-tune the machine based on the test results and user feedback.

Who needs morpheme based bi-directional machine?

01
Linguists and language researchers who are studying morphemes and their usage.
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Developers who are creating natural language processing tools and applications.
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Translators who need accurate morpheme analysis for translating languages.
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A morpheme based bi-directional machine is a computational model that processes language by analyzing and generating output based on morphemes, which are the smallest units of meaning in a language.
Entities or individuals who utilize or operate a morpheme based bi-directional machine for language processing tasks are typically required to file relevant reports or documentation.
Filling out a morpheme based bi-directional machine involves inputting language data correctly, specifying parameters for processing, and ensuring all required fields are completed according to the guidelines provided by the respective authority.
The purpose of a morpheme based bi-directional machine is to facilitate the understanding and generation of natural language by effectively processing the morphemes that constitute linguistic expression.
Information such as input data, parameters used for processing, output results, and any errors encountered during processing must be reported on a morpheme based bi-directional machine.
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