The Machine translation Market which has emerged as a prominent tool in this evolution, has undergone significant changes itself over the years. The vision of automatically translating documents from one language to another has been one of the oldest pursuits in the evolution of artificial intelligence. From its beginning in systems that required intensive computing effort to produce somewhat accurate translations, to NMT (neural machine translation) systems that can process large volumes of content faster and more accurately, the industry has witnessed monumental development over the years.

Over time, machine translation market technology has evolved into a highly sought-after solution for more accurate and speedier translation of content from one language to another. This growth is supported by the persistent advancements in technologies like NLP (natural language processing) and AI (artificial intelligence), which are gradually bringing machine translation solutions into the mainstream.

In this scenario, there has been rising interest from technology firms to expand dialect and language lists and other advancements in their machine translation product portfolios, which is manifesting in the form of strategic collaborations and alliances.

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In recent years, several efforts are underway from major business entities to deliver strong transformational value in the machine learning industry. These efforts are characterized largely by collaborations being made by companies, which brings together their individual benefits and experience.

For instance, TAUS and Intento inked a strategic collaboration in April 2022, with an aim to realize the full potential of machine translation technologies and develop novel opportunities for MT model training. Bringing together domain-specific, high-quality language data services and experience in MT training and evaluation, the partnership was designed to cover three areas. These include acknowledging the need for language data and associated services for machine translation market evaluation, LQA phases and training. As part of the alliance, Intento would acquire test datasets for evaluation of MT projects, training datasets for machine translation training projects and leverage the TAUS HLP platform and community relevant LQA activities.

Machine translation market is also being hailed by many as the future of localization. In this scenario, the evolution of technology will have a profound effect on business practices worldwide, through the development of targeted tools designed to automate translation and localization processes.

To that end, in September 2021, Intento partnered with Smartcat to develop enhanced language solutions, using combined benefits from the integration and expertise of both entities. Intento MT Hub for Smartcat was designed to facilitate users’ access to high-quality translations using over 30 major machine translator providers including Amazon Translate, Google Cloud AutoML, and ModernMT.

For the companies, this collaboration was an opportunity to deliver enterprise-quality localization services for fast-moving firms as well as their customer base across the globe, and give language professionals the ability to enhance translation quality whilst reducing time-to-market.

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With the COVID-19 pandemic driving populations indoors due to the lockdown measures implemented at its peak, the trend of remote and hybrid working has evolved considerably. In this situation, technology firms are looking for new ways to improve productivity in virtual meetings.

Zoom, which gained momentum as a widely accepted solution for video calling during the crisis, has been focusing on developing novel solutions centered around machine translation to better cater to users, irrespective of their location. In June 2021, Zoom Video Communications signed a definitive agreement for the acquisition of Kites GmbH (Karlsruhe Information Technology Solutions), in an effort to augment real-time machine translation in video calls.

Key players operating in the machine translation market include AWS (Amazon.com, Inc.), Alibaba Cloud, AppTek LLC, Baidu, Google LLC (Alphabet Inc.), Cloudwords Inc., Microsoft Corporation, IBM Corporation

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