An Overview of the Basic NLP Resources Towards Building the Assamese-English Machine Translation

Nibedita Roy, Apurbalal Senapati
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Abstract

Machine Translation (MT) is the process of automatically converting one natural language into another, preserving the exact meaning of the input text to the output text. It is one of the classical problems in the Natural Language Processing (NLP) domain and there is a wide application in our daily life. Though the research in MT in English and some other language is relatively in an advanced stage, but for most of the languages, it is far from the human-level performance in the translation task. From the computational point of view, for MT a lot of preprocessing and basic NLP tools and resources are needed. This study gives an overview of the available basic NLP resources in the context of Assamese-English machine translation.
构建阿萨姆语-英语机器翻译的基本自然语言处理资源综述
机器翻译(MT)是将一种自然语言自动转换为另一种自然语言的过程,同时保留输入文本对输出文本的确切含义。它是自然语言处理(NLP)领域的经典问题之一,在我们的日常生活中有着广泛的应用。虽然机器翻译在英语和其他一些语言中的研究相对来说处于较先进的阶段,但对于大多数语言来说,它在翻译任务中的表现还远远达不到人类水平。从计算的角度来看,机器翻译需要大量的预处理和基本的自然语言处理工具和资源。本研究概述了阿萨姆语-英语机器翻译中可用的基本自然语言处理资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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