Article very high match rates when segment translate different from source translation memory

16. November Nov

Article very high match rates when segment translate different from source translation memory

article very high match rates when segment translate different from source translation memory

Clients typically revise translated files in their final form, i.e., without any TM If you calculate, or ask your vendor to calculate, translation memory match statistics for each article about reducing translation costs through internal fuzzy matches and It also shows how to translate two identical segments in a different way.
Translation unit is created when source text (i.e. sentences, TM speeds up the process of translation ; a segment once translated doesn't For the very same reason, using TM reduces costs. Import TM from other translation tools (in TMX format) or from MS Excel. . No I did not find this article helpful.
The translation memory needs maintenance before further usage. Very high match rates when the segment to translate is very different from the source segment in the translation There are no comments for this article.

Article very high match rates when segment translate different from source translation memory -- flying Seoul

Video: How to Save Time While Avoiding Losing TMs and Glossaries with a Centralized Location for TMs and Glossaries in OmegaT. Except for two translators, who in this project had higher productivity when editing Fuzzy matches, the participants showed higher productivity with MT matches. The participants were also debriefed after finalising the assignment to triangulate the data with the quantitative results and the questionnaire. The worst thing that can happen is a client telling you that you made the same mistakes they had corrected in your previous translation.




Article very high match rates when segment translate different from source translation memory -- traveling fast


There were several problematic issues that they signalled in the translation process: the excessive number of instructions to complete small tasks, terminology maintenance, excessive reference material, and tagging in documents that force translators to rearrange every single segment regardless of the level of fuzzy match or quality of the MT output. Research indicates that many companies producing multilingual documentation are using translation memory systems. The match statistics feature has been improved. Such example can be seen on the picture below.

article very high match rates when segment translate different from source translation memory

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ESCORTS SOUTH EAST WEST SUSSEX In this paper, it has shown the basic concept of the storing system:"The translator might start by issuing a command causing the system to display anything in the store that might be relevant to. All entries have already been committed to this project TM. An ideal candidate segment requires few edits to reach an acceptable translation. Error storing TM entry. Keeping this TM pagination group date ensures that mistakes will not repeat.
Women signs worst boyfriend ever Post-Editing Machine Translated Text in A Commercial Setting: Observation and Statistical Analysis. TMs are most effective when a consistent sentence segmentation algorithm is used for all the source segments. There is another format that can be used to import: the native format. Suppose I have a sentence:. First, completing single sentences is psychologically easier. A TM can be modified by changing or deleting entries in the TM.
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