This article was originally written in English. Text in other languages is provided via machine translation.
[tp no_translate="y"]TAUS Asia Translation Summit 2012[/tp] was organized by [tp no_translate="y"]Translation Automation User Society (TAUS)[/tp] in cooperation with [tp no_translate="y"]China Center for Information Industry Development (CCID)[/tp] and [tp no_translate="y"]Translators Association of China (TAC)[/tp]. 80+ attendees from both product companies such as Adobe, Baidu, EMC, Google and Microsoft and LSPs participated in the summit held in Beijing on April 24 – 25, 2012, as well as the complimentary half day event [tp no_translate="y"]TAUS Open Source Machine Translation Showcase[/tp] held in the same venue on April 23. The summit provides attendees an excellent platform to share knowledge and experience in MT domain.
I was invited by TAUS to give audience an introduction of what Adobe has done on open source MT. In my presentation, I shared how Adobe makes use of the open source MT tool [tp no_translate="y"]Moses[/tp] in its localization workflow. We developed a set of tools called [tp no_translate="y"]Moses Tool Set[/tp] to simplify the usage of Moses. By using this tool, the training process of Moses can be done in an easier and intuitive way. It consists of 4 features: [tp no_translate="y"]Corpus Clean Tool, Corpus Splitting Tool, Moses Training Harness[/tp], and [tp no_translate="y"]Moses Scoring Harness[/tp]. Each feature can not only work independently but be combined into a job which enables users to complete the whole training process in one click.
Many audience especially those from LSPs that just started their adventure of open source MT showed strong interest on the Moses Tool Set. It’s happy to see that seeking for ways to improve localization productivity is no more the responsibility only for the language service buyers. Some LSPs have also started their attempts in MT field. [tp no_translate="y"]Moses[/tp] is a good option for them because of its lower entrance cost. In the offline discussion, however, I got a lot of complaints from these potential Moses users about usage of Moses. For those who don’t dive deeply into statistical machine translation, Moses is too complicated to start with. Many parameters are required to generate a trained MT engine. Lack of a friendly user interface is another headache for them. No wonder the very first thing audience eager to know is where they can find and download [tp no_translate="y"]Moses Tool Set[/tp].
Actually, [tp no_translate="y"]Moses Tool Set[/tp] is an open source project. Both its installer packages and source codes are available in Google Code.