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February 09, 2010

AppTek Announces Hybrid Machine Translation System



By Anshu Shrivastava, TMCnet Contributor


Provider of human language technology, or “HLT,” AppTek has announced its hybrid machine translation, or “HMT,” system.
 
HMT system is a full integration of statistical and rule-based methodologies that was ranked first among machine translation, or “MT,” systems tested during an independent comparative study.
 
Rather than adding rules to the statistical system or a minor statistical module to the rule-based engine, AppTek’s HMT solution provides a full integration of both MT methodologies.
 
This HMT solution uses the company’s statistical MT platform and augments it with its rich rule-based MT engine. The three key translation quality parameters of MT systems are fluency, informativeness, and adequacy that are now supported in one comprehensive system, said company officials.

 
“AppTek is the only human language technology provider to successfully develop a single system to enable fully-automatic, high quality machine translation,” said Steve Cook, chief technology officer at AppTek.
 
He said that the test not only validates that the company’s hybrid approach to machine translation provides significant advances to automated translation of large volumes of speech and text data, but it demonstrates “unique ability to be highly accurate” in the process and provide greater information fidelity.
 
“By providing the optimal features of both statistical and rule-based approaches, the amount of time that a user must spend editing and polishing the translated output can be reduced significantly,” Cook added.
 
McLean, Virginia based AppTek develops human language technology products with a complete suite for text and speech – voice -- processing and recognition. It also leads research and development efforts to further the advancement in the field of developing better methods and technologies in the field of HLT. The company’s products include
MT and automatic speech recognition; multilingual information retrieval with query and topic search capabilities; name-finding applications; and more.
 
Last year in December, the company announced the expansion of its MediaSphere technology platform to assist in the launch of Menacast Mobile for the Apple (News - Alert) iPhone. 

Anshu Shrivastava is a contributing editor for TMCnet. To read more of Anshu’s articles, please visit her columnist page.

Edited by Kelly McGuire


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