| ISSN: 2583-4371 | ISSN: 2583-4371JOURNAL ARTICLE
Abstract: This article is about the field of technical translation which is called machine translation (MT), or machine-assisted translation. This method of translation uses various types of computer software to generate translations from a source language to a target language without the assistance of a human. There are different methods of machine translation. A plethora of machine translators in the form of free search engines are available online. However, within the field of technical communication, there are two basic types of machine translators, which are able to translate massive amounts of text at a time. There are transfer-based and data-driven machine translators. Transfer-based machine translation systems, which are quite costly to develop, are built by linguists who determine the grammar rules for the source and target languages. The machine works within the rules and guidelines developed by the linguist. Due to the nature of developing rules for the system, this can be very time-consuming and requires an extensive knowledge base about the structures of the languages on the part of the linguist; nonetheless, the majority of commercial machine translators are transfer-based machines. .
Keywords: translation system, transfer-based, data-driven machine, target language, time-consuming.
Article Info: Received: 07 Jan 2023, Received in revised form: 01 Feb 2023, Accepted: 08 Feb 2023, Available online: 14 Feb 2023
Article Cite: Qizi, Y. N. M. (2023). Productivity of Machine Translation. In International Journal of Teaching, Learning and Education (Vol. 2, Issue 1, pp. 01–02). https://doi.org/10.22161/ijtle.2.1.1
DOI: 10.22161/ijtle.2.1.1
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