An Overview of Text Translation and Text Simplification Tasks
Keywords:
Text Translation, Text Transformation, Text Simplification, Natural Language ProcessingAbstract
In NLP text translation and text simplification can be defined as text conversion processes. In text translation a source language text is getting converted into a target language text, and in text simplification a complex input text is converted into a simplified output text. Both of these processes are not easy and straightforward. They require language expertise and certain domain knowledge. With increase in cultural globalization and social media usage, these services are becoming essential. They help to improve the interaction between entities by reducing the communication gaps between them. Automation of these tasks have gained the interest of so many research persons. Many approaches, tools and techniques have been invented so far. Every approach has its own limitations and challenges. All techniques at core face a common challenge known as ambiguity problem. The ambiguity can be defined as a decision level confusion, where the decision is to select a correct appropriate replacement text for the current input text among the available candidate texts. The ambiguity resolution is an open problem, which is an unsolved problem keeping human intelligence a far ahead milestone to be achieved by artificial intelligence.
This paper aims to correlate the text translation and text simplification tasks by overviewing their various approaches, their internal processes, and their evaluation mechanism. We are trying here to bring the similarities of these tasks to make it easy to learn, and understand.
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