There are nine categories of language technology and each plays an important role for a mature localization program. There is no better guest to have on the show to discuss this complex landscape than Yulia Akhulkova. Yulia Akhulkova is the foremost expert in the field of Language Technology categorization and evaluation. She is the lead researcher responsible for mapping and categorizing over 750 technologies in the 2021 Nimdzi Language Technology Landscape Report. In our talk, we look at the main categories of language technology and discuss what you need to know about each of them for a modern globalization program. Translation Business Management Systems (BMS) Translation Management Systems (TMS) Integrators (Middleware) Quality Management, including Terminology Management Systems Machine Translation (MT) Virtual Interpreting Technology (VIT) Speech Recognition Solutions Audiovisual Translation Tools (AVT) Marketplaces and Platforms
Yulia Akhulkova graduated from Moscow University of Electronic Engineering as a software engineer. Since 2010 she has worked in localization combining strategic, control and marketing functions. Yulia’s experience in language services together with the urge to popularize the localization industry itself help her contribute to Nimdzi’s research and analysis.
There is a shadow industry driving the growth of ALL global brands: Localization. Let’s talk globalization, localization, translation, interpretation, language, and culture, with an emphasis on how it affects your business, whether you have a scrappy start-up or are working in a top global brand. Topics are taken from the most recently published market research from Nimdzi Insights (and other sources) and will feature guest speakers from time to time. If you have suggestions for new topics or guests or would like to be a guest yourself, please reach out to our producers at [email protected] to pitch your idea.
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Continuous improvement in machine translation (MT) technology means that MT engines are expected to get ever more effective. One of the areas where this is already happening is fuzzy matches for MT.
It is a given nowadays that when organizations expand internationally or consolidate their existing global presence, they need to invest in localization. This does not simply mean linguistic resources but also technological investments that contribute to translation productivity among other efficiencies.
On October 11, 2022, Google announced the launch of a new AI-powered cloud service called Translation Hub. The announcement instantly made waves in the language services industry and beyond, so Nimdzi took a closer look to see what’s really behind the new offering from the tech giant.