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Archive by author: Arle LommelReturn

Senior Analyst

Focuses on language technology, artificial intelligence, translation quality, and overall economic factors impacting globalization

AI Can Help Improve Even Mature Enabling Technologies

I have an interest in 19th-century sporting newspapers and would like to have them in digital form. Unfortunately, these newspapers used almost microscopic fonts, the type was often heavily worn, and their paper has degraded over time. Despite these problems, humans usually don’t have any trouble reading them, but optical character recognition (OCR) is another matter.
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Plan Ahead to Build Successful Multilingual Chatbots

Chatbots are rapidly becoming ubiquitous in marketing and support. The potential for brands to interact with customers using natural language – and perhaps a bit of personality – without needing an army of paid human agents is driving major investment from enterprises. Tech giants – from Google to Facebook and IBM and Weibo to Microsoft – have started a virtual race to dominate this field. However, what is missing in this picture so far is serious attention to multilingual needs. Amazon, App...
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May 02, 2018| Arle Lommel | Intelligent content, Chatbots | For Buyers | |

Plan for the Future Now: Must-Have Languages for Global Enterprises

Last year, CSA Research investigated 137 languages with measurable internet activity to identify those with the top online economic potential. We divided languages into four tiers based on the share of the “world online wallet” they commanded. This examination revealed that as internet penetration, populations, and GDP rise, the number of tongues needed to reach a given percentage of the market also increases and the mix changes. Recently, we used economic, population, and technology forecasts...
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MT Reaches Human Quality? Maybe, If You Squint Really Hard

Microsoft decided to up its public relations game around machine translation. A recent blog post trumpeted that the company’s neural machine translation (NMT) system has reached parity with human translators for Chinese-English news text.
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Not Just Machine Translation: AI Makes Inroads in the Language Industry and Beyond

Neural machine translation has recently garnered the lion's share of attention for artificial intelligence (AI) in the language industry. Highly visible applications such as Google Translate and Microsoft Translator rank up there with self-driving cars in the public imagination. In addition, requirements for multilingual content are growing far more quickly than the number of human linguists, which positions NMT as a needed solution. We also identified a lot of interest in the potential fo...
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When Support Becomes a Multilingual Conversation

Five or 10 years ago, most enterprises produced support documents, manuals, marketing, websites, videos, and other types of materials they then pushed out to the world for consumption by their audience. Although they might hear back from people who called in to support lines, this content usually disappeared into the ether where it either served its purpose or did not. CSA Research’s data points to a new trend: Content is becoming conversational. It is moving away from a publish-and-forget mode...
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Six Steps to Ensure Japanese Linguistic Quality

The Japanese market is an attractive prospect for foreign companies that can succeed in it. In 2017, Japan accounted for 7.7% of the world's online economic potential, despite having just 3.2% of the global Internet-connected population ("Digital Opportunity: Top 100 Online Languages for 2017").
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January 10, 2018| Arle Lommel | Quality, Country/region data | For Buyers | |

Strong Websites Drive Sales: Strengths and Weaknesses of 305 LSP Sites

A strong website that delivers a clear and compelling message, tailored to your specific audience can help drive sales. It must succeed in both its content and its technical structure. In June 2017, CSA Research examined 305 websites from language service providers in depth.
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November 29, 2017| Arle Lommel | LSP sales and marketing, LSP segmentation | For LSPs | |

Whatever Happened to Content Source Optimization?

For many years now, localization managers at enterprises have known how they should create content tailored for particular markets, even if they haven't actually done it. Instead, the model that evolved in the 1990s invested in optimizing existing content for translation.
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Will Europe Maintain Its Leading Role in Machine Translation?

Based on press coverage of recent advances in machine translation (MT), it may seem as if all the major developments happen in the United States. However, since the 1980s, much of the basic research in this area has either happened in European projects or been headed by alumni of groups in the region such as the German Research Center for Artificial Intelligence (DFKI), University of Aachen, and the University of Edinburgh.
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