4 min read
Moses is a popular Open Source Translation Software[/caption] A statistical system, such as the ones used by
Google or
Microsoft Bing requires large amounts of parallel data (corpora) which in turn requires "cleaning" (pruning and discarding the parts that are not fit for machine learning, which is considered "noise") and
customization (giving more weight to certain expressions, for example or adding particular data from a specific domain). A statistical machine translation system can translate large amounts of data fast and efficiently and it is the technology behind so many new translation offerings we have on the web, mobile devices, etc. This type of machine translation systems also deliver more fluent-sounding translation than consistent translation due to the fact that they analyze chunks of data in groups of 3, 4 or 5 words (optimally groups of 5 but this varies across languages).
Hybrid machine translation is a combination of the above two methods of developing machine translation programs. It is characterized by the use of multiple machine translation approaches but within a single machine translation system. The motivation for developing hybrid machine translation systems stems from the failure of any single technique to provide a 100% satisfactory level of accuracy, and so by combining the best of techniques, researchers have hoped to solve the shortcomings of rule-based technologies and statistical (or data-based) technologies. It has been proven in research and reported in many publications that a hybrid approach can improve the accuracy of the final translations in certain language combinations, and there are several popular machine translation systems which employ hybrid methods. PangeaMT published two academic papers on hybridization for the English - Japanese language pair in the Asian Association for Machine Translation which proved that some hybridization techniques improve the output when language pairs are very remote, like in the case of Japanese and English. The results were also presented at the
Japan Translation Festival in 2011. Our company's efforts on hybridization received the acknowledgment of the European Union and we are now part of a EU research program on hybrid approaches to machine translation (EXPERT). Organizations operating in the international market working on sensitive projects often choose some kind of machine translation API or connector to translate low-priority content automatically. Typically, this is content like user comments or user-generated content which the organization does not want to translate and it is not core to the company documentation effort, yet it can be useful to a community of users. If you are a company with a large amount of data to be translated and it has to be done in a short time, machine translation services must be high on your list. Free machine translation services can leak data, as it was reported by
TCWorld and the European Union is taking measures on security in that respect. Therefore, a good machine translation system should be hosted and completely secured if it is to handle private data, for example data which may be sensitive from an industrial point of view, for intelligence services, military, hospitals, insurance, etc. As a user, you must have the complete peace of mind that your information is not disclosed to third parties. Sensitivie content must be secured from getting into the hands of a careless or unscrupulous translator. This way, confidentiality is completely secured. Large corporations, ecommerce stores, government agencies, and content writers are getting good benefit of hiring and optimizing machine translation services. There are many more added advantages of using machine translation. They result in enhanced productivity, faster and cheap translation. You need not have to muddle your head in finding whether the vendor has good team of translators or not. Nor you have to worry they have the expertise to understand your market or not. All your translation work will be completed easily and without any hassle. They are flexible enough to suit any type of project. Hope you are convinced now why you should use machine translation services for getting your translation job done. The only thing that you need to consider here is choosing good machine translation services. You should ensure that they use latest technology in their core job. There are plenty of vendors who have an online presence but Pangeanic works on technology transfer via its division PangeaMT. You can visit the
website to find out more and try the technology for your own purposes, even build new business thanks to our API. Read the reviews of the past clients and presentations with large corporations in the last few years. You will get an insight about the customer service of the chosen vendor. The popularity of machine translation services is increasing by leaps and bounds. Why wait any longer? Call a Pangeanic team member to see how we can best help you with machine translation when human translation cannot satisfy all your needs.
