{"id":35934,"date":"2022-08-07T10:14:02","date_gmt":"2022-08-07T10:14:02","guid":{"rendered":"https:\/\/www.globalizationpartners.com\/?page_id=35934"},"modified":"2024-08-06T08:16:18","modified_gmt":"2024-08-06T08:16:18","slug":"artificial-intelligence-and-machine-translation","status":"publish","type":"page","link":"https:\/\/www.globalizationpartners.com\/tools\/artificial-intelligence-and-machine-translation\/","title":{"rendered":"Artificial Intelligence and Machine Translation"},"content":{"rendered":"

Leading organizations around the world, and from all major industries, are beginning to see the value in state-of-the-art neural machine translation (NMT). GPI\u00a0NMT\u00a0solutions, within the right\u00a0context,\u00a0can allow companies to complete translation projects in less time with lower costs. Our high-quality\u00a0NMT\u00a0solution can be an effective tool for rapid translations.<\/p>\n

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\"Artificial<\/div>\n

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GPI offers AI-based machine translation options where appropriate, combining neural machine translation (NMT) and using certain generative AI technologies for post-editing and additional quality control. It is important to remember, that NMT is a very specific linguistic application of AI which automates to a degree language translation. AI in general, includes a much broader spectrum of approaches and technologies with the aim of simulating human intelligence in a range of domains beyond translation such as robotics, computer vision, and speech recognition, to name a few.<\/p>\n

Advances in machine translations have evolved quickly and the language industry has used three basic machine translation technologies in the last few decades.<\/p>\n

\u201cRule-based MT\u201d which is an early form of machine translation that required the manual addition of languages and human post-editing with predefined sets of rules to help determine and transfer meaning between languages. \u201cStatistical-based MT\u201d which creates a statistical model of relationships between words and phrases in the text and then applies it to another language than the source.\u00a0 And \u201cNeural-based MT\u201d that mimics the neural networks of the brain and encodes and decodes source text for translations.<\/p>\n

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What is Neural Machine Translation (NMT)?<\/h2>\n

NMT is the latest approach in a long line of machine translation processes dating back to the 1990s. The goal of NMT is to replicate the human brain\u2019s ability to learn through trial and error as well as to adapt to new experiences. NMT uses a \u201cdeep learning\u201d process where artificial neural networks predict the probability of a sequence of words. Building upon previous iterations of machine translation (statistical and rule-based), NMT provides a whole new level of quality. Coupled with a human review, and the proper front-end preparation, our NMT solution produces improved translation<\/p>\n

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\"What<\/div>\n

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The GPI NMT Methodology<\/h2>\n

GPI\u2019s primary approach to Neural Machine Translation (NMT) is first and foremost, to ensure that it is a good fit for our client\u2019s content. Based on decades of MT, NMT, and newer AI language translation applications, GPI clientele can rest assured our NMT solutions will introduce additional savings in time and money and deliver acceptable quality.<\/p>\n

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Basic Steps in Neural Machine Translation Projects:<\/strong><\/h3>\n
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  1. Conduct an Initial Quality Assessment (IQA) of your content to determine the suitability for using an NMT solution and the amount of human post-editing required\n