SpeakLike fits in an ever-growing category of companies that cater to web-based streaming content and small projects with fast turnaround times. Companies like MyGengo, Smartling, Translated.net, LanguageWire, Tolingo, and OneHourTranslation have slightly similar (or slightly different, if you prefer) approaches to address their client needs, but they all center around Project Management Automation, one of the strong industry trends that I have been talking about. I call this category of companies the On-Demand Translation Vendors.
What is exciting about this approach to translation, which lies between the traditional time-consuming Translation-Editing-Proofing method and the often vilified pure Machine Translation, is that it provides a browser-based environment for experienced freelance translators to work on fast turnaround documents or customer support online chats. It's like telephone interpretation for text.
Some of the features that I like about SpeakLike:
- Interface. The translator interface is like an improved version of Facebook Translate. Along with the source text (sometimes images or PDFs), the translator gets relevant terminology, previous similar translations (translation memory) and Style Guide information that is specific to the client at hand, with data about tone and format.
- Speed. The system is designed to provide translations as fast as humanly possible. This means turnaround times of minutes to hours instead of days and weeks. It is a system that is ideal for streaming content like news, financial data, and online support chat.
- Price model. Translations are cheaper than what you would get from a traditional LSP, but margins are still attractive for the business because once a client is setup, all tasks are automated and the overhead is minimal.
- iPhone App. If you are in a foreign land and cannot understand a sign, you can take a picture of it and submit it to SpeakLike, where a human translator will translate the sign and send it back to you. It's a manned version of Google Goggles or Word Lens.