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Showing posts with the label Adaptive MT

Adapting Neural MT to Support Digital Transformation

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We live in an era where the issue of digital transformation is increasingly recognized as a primary concern, and a key focus of executive management teams in global enterprises. The stakes are high for businesses that fail to embrace change. Since 2000, almost half (52%) of Fortune 500 companies have either gone bankrupt, been acquired, or ceased to exist as a result of digital disruption. It’s also estimated that 75% of today’s S&P 500 will be replaced by 2027, according to Innosight Research.  Responding effectively to the realities of the digital world have now become a matter of survival as well a means to build long term competitive advantage. When we consider what is needed to drive digital transformation in addition to structural integration, we see that large volumes of current, relevant, and accurate content that support the buyer and customer journey are critical to enhancing the digital experience both in B2C and B2B scenarios.  Large volumes of relevant conte...

How Adaptive MT turns Post-Editing Janitors into Cultural Consultants

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At the outset of this year, I felt that Adaptive MT technology would rapidly establish itself as a superior implementation of MT technology for professional and translator use. Especially, in those scenarios where extensive post-editing is a serious requirement. However, it has been somewhat overshadowed by all the marketing buzz and hype that floats around Neural MT's actual capabilities. Had I been a translator, I would have at least experimented with Adaptive MT, even if I were not to use it every day. If one does the same type of translation (focused domain) work on a regular basis, I think the benefits are probably much greater. Jost Zetzsche has also written favorably about his experiences with Adaptive MT in his newsletter. We have two very viable and usable Adaptive MT solutions available in the market that I have previously written about: Lilt :- An Interactive & Adaptive MT Based Translator Assistant or CAT Tool and A Closer Look at SDL's Adaptive MT Technology  ...

Lilt Labs Response to my Critique of their MT Evaluation Study

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I had a chat with Spence Green earlier this week to discuss the critique I wrote of their comparative MT evaluation, where I might have been a tad harsh, but anyway I think we were both able to see each other's viewpoints a little bit better, and I summarize the conversation below.  This is followed by an MT Evaluation Addendum that Lilt has added to the published study to provide further detail on the specific procedures they followed in their comparative evaluation tests. These details should be helpful to those who want to replicate or modify and replicate, the test for themselves. While I do largely stand by what I said , I think it is fair to allow Lilt to respond to the criticism to the degree that they wish to.  I think some of my characterization may have been overly harsh (like the sheep-wolf image for example). My preference would have been that Lilt wrote this response directly rather than having me summarize the conversation, but I hope that I have captured the ...