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RYSTUDIO Neural TM System adopts pay-once-and-use-forever policy. No annual subscription fee, no additional usage fee charged, no limit and no quota imposed.
Conventional TM systems, the TM component of Trados Studio, for example, find a fuzzy match by simply comparing words of two sentences one by one, and they will all fail if two sentences are different in wording but pretty similar in meaning. It's not unusual that the conventional TM system will fail too for sentences that have same set of words that are put in different order. This is a waste of valuable resources!
RYSTUDIO Neural TM fetches matches based on semantic similarity not on wording or their orders in a sentence. For this reason, RYSTUDIO Neural TM is still able to fetch a meaningful match where conventional TMs return zeor match.
Assuming that we have this sentence in conventional Trados Studio TM:
Contracting Client agrees to indemnify, defend, and hold harmless Producer and its officers, employees, agents and licensees from and against any and all claims, actions, damages, liabilities and expenses, arising out of the breach of any obligation, warranty or representation of Contracting Client in this Agreement.;
And assuming we are about to translate the sentence below:
Employer and its employees shall be held harmless by Contractor, and Contractor agrees to do so, from any and all claims in connection with the breach of his obligation under this Contract.
The conventional Trados Studio TM will never return a match, even you set a very low fuzzy match rate, 40%, for example. And for a conventional TM, a low fuzzy match rate will result in very poor performance.
RYSTUDIO TM will fetch a right, meaningful match in such cases.
For a fuzzy match returned by Trados Studio TM, only the differences between two source segments are highlighted, nothing is done about the tranlation. In case of a long sentence, translators have to go through and cross-check the translation from TM very carefully in order to find out what parts to be changed, what to delete, and what to insert. This is a waste of time and makes the TM less helpful.
With RYSTUDIO Neural TM, once a fuzzy match is found, an adaptive translation will be performed automatically and the differences between the both, i.e. the translation from TM and the one from adaptive machine translation engine, will be highlighted. Translators will be presented with a clear view as to what are automatically changed in the new adaptive translation, what added to, and what deleted from. With RYSTUDIO Neural TM, translators only need to check, make minor changes in some cases, and confirm. This will definitely save translators a lot of unnecessary works and greatly speed up translation process.
Assuming that our translaton memory contains this translation unit:
Delivery of all Specified Commercial(s) shall mean delivery by Producer of dailies, negatives, positive prints, video tapes, sound tracks “as recorded," and such other material as specified herein to the editorial facility designated by Contracting Client, at which time Producer shall be released from any further liability, pursuant to Section E., Editorial.;
本协议下商业广告的交付系指制作人将工作样片、负片、正片、录影磁带、音轨等“按其录制原样”连同此处规定的其他材料如期交付给缔约客户指定的编辑公司并因此解除其在第E节“编辑”下进一步责任的行为。;
And assuming we are about to translate the sentence below:
Delivery of all equipment shall mean delivery by Manufacturer of instruments, devices, tools "as made" and such other items as detailed herein to the Site designated by Employer, at which time Manufacturer shall be released from any further liability, pursuant to the Contract.
RYSTUDIO Neural TM will easily find a match, of course. What matters here is that it will perform an adaptive translation on the translation unit fetched from the translation memory and return and highlight the differences between the both translations, as shown below:
本协议合同下商业广告全体设备的交付系指制作人造商将工作样片、负片、正片仪表、录影磁带装置、音轨工具等“按其录制作原样”连同此处规定列明的其他材料项目如期交付给缔约客户至业主指定的编辑公司场地并因此解除其在第E节“编辑”本合同下进一步责任的行为。