*New* Slator Pro Guide: Scaling an LSP Key Account — Growing Small Clients into Key Accounts
This comprehensive research aims to shed light on the pressures that are being faced across all areas of the translation industry and offers insight into what can be done to tackle them.
Researchers show evidence of bias in cognitive science coming from the dominance of English across the field; propose ways to mitigate it.
AMTA highlights nine papers at this year’s industry event that represent innovations in machine translation — both in the science and the craft of implementation.
Research reveals that examining non-English scientific papers would benefit more domains, particularly those of biodiversity and global conservation.
Intento's 2021 State of Machine Translation allows you to choose the best-fit MT engines for your language pair and industry sector.
Characterizing post-editors based on their keystrokes, mouse activity, and other editing actions can help predict speed and, eventually, quality, says a new paper by Unbabel researchers.
Slator’s 2019 report on the clinical life sciences translation industry, analysis of the competitive landscape and actionable insights from major buyers of pharmaceutical translation.
Top US university Carnegie Mellon, known for its natural language processing and neural machine translation research, has launched a new Master’s program in Global Communication and Applied Translation, designed to train translators of the future.
The financial industry is a major buyer of language services and technology. This report contains actionable insights about the size of the addressable market, the competitive landscape, buyer behaviour and preferences, as well as sales, business development, marketing strategies for LSPs to succeed in servicing the financial industry.
Europe continues to ramp up research in language technology. The number of papers published on machine translation in an academic journal has reached the highest number in more than a decade.
Iconic Translation Machines (Iconic), a leading Machine Translation (MT) software and solutions provider, is pleased to announce its involvement in the creation of ChemZent™, the first and only indexed and searchable English-language version of Chemisches Zentralblatt — the oldest compendium of German chemistry abstracts dating from 1830-1969.
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