DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics


Article Information

Title: A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics

Authors: Naseer Ahmed

Journal: Pakistan Journal of Engineering, Technology and Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30

Publisher: Institute of Business Management, Karachi

Country: Pakistan

Year: 2023

Volume: 11

Issue: 1

Language: English

Keywords: Natural Language Processingmachine translationNeural Machine Translation Human Evaluation metricsStatistical Machine TranslationMachine Translation Process Cycle

Categories

Abstract

Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages. A significant job that may be utilized is to extract information from texts written in different languages through machine translation (MT). Due to the remarkable developments in Machine Translation over the past several years, we have entered the era of Neural Machine Translation (NMT). A review of MT is essential for better understanding of MT in the domain of Natural Language Processing. This paper focuses on Statistical, Corpus, Example, Rule based, Transfer based, direct based and Nural Machine Translation approach, their challenges, and existing evaluation metrics such as BLEU score and Human evaluation metrics.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...