The Linguistic Challenges of Machine Translation
Table Of Contents
<p>1. Introduction<br> 1.1 Background of Machine Translation<br> 1.2 Research Objectives<br>2. Theoretical Framework<br> 2.1 Principles of Machine Translation<br> 2.2 Linguistic Challenges in Automated Translation<br>3. Cultural and Idiomatic Translation<br> 3.1 Translating Cultural References<br> 3.2 Handling Idiomatic Expressions<br>4. Linguistic Nuances and Ambiguities<br> 4.1 Dealing with Linguistic Ambiguities<br> 4.2 Preserving Linguistic Nuances in Translation<br>5. Evaluation of Machine Translation Systems<br> 5.1 Assessing Accuracy and Quality<br> 5.2 Identifying Biases and Limitations<br></p>
Project Abstract
<p> This project focuses on the linguistic challenges associated with machine translation, particularly in the context of natural language processing and artificial intelligence. It aims to identify and analyze the complexities of translating linguistic nuances, cultural references, and idiomatic expressions using automated translation systems. By examining the limitations and potential biases of machine translation, this research seeks to contribute to the ongoing development of more accurate and culturally sensitive translation technologies. <br></p>Project Overview
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