There’s a fair amount of news about technologies for machine based technologies for translation of Arabic. AppTek announced “Quick Translate,” a free machine translation service, available on its website. According to the company’s announcement,

Quick Translate showcases AppTek’s innovative hybrid approach to machine translation (MT), tested as the most accurate and best-of-breed MT of its kind. The service covers English and a variety of other languages (bidirectional): Arabic, Korean, Japanese, Chinese, Turkish, PersianDari, Urdu, Pashto-English, Bahasa Indonesian, Tagalog, French, German, Italian, Portuguese, Polish, Russian, Spanish, Ukrainian, Hebrew and Dutch.

Hybrid MT systems take advantage of the strengths of both rule-based and statistical approaches, while mitigating their weaknesses. AppTek’s HMT solution provides a full integration of both MT methodologies, rather than simply adding rules to the statistical system or a minor statistical module to the rule-based engine. Using the company’s statistical MT platform and augmenting it with its rich rule-based MT engine, AppTek’s HMT solution raises the bar for MT design. The three key translation quality parameters of MT systems – fluency, informativeness, and adequacy – are now supported in one comprehensive system with greater performance, quality and accuracy.

(via PR Press Release)
Research into more robust systems continues, however. Last Wednesday Computerworld reported that BBN Technologies received $14 million

from the Defense Advanced Research Projects Agency (DARPA) this week to continue developing its speech and text technology.
BBN has now taken in over $30 million from DARPA over the past few years to fill out the agency’s Global Autonomous Language Exploitation (GALE) program. The goal of GALE is to translate and distill foreign language material (television shows and newspapers) in near real-time, highlight salient information, and store the results in a searchable database — all with more than 90% accuracy by the end of the program. Through this process, GALE would help U.S. analysts recognize critical information in foreign languages quickly so they could act on it in a timely fashion.

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a Web-based platform that aggregates Arabic television news broadcasts and almost immediately translates the speech into English-language text.
The text is instantly keyword searchable in English.

via FederalComputerWeek