TRANSLATION QUALITY CONTROL/ASSURANCE
AND
THE CORRESPONDING SOFTWARE
Translation Quality Assurance Process
Automated translation quality control
Aspects of translation quality
Translation Formatting
Translation Formatting 2
TM and Translation Quality
10 steps to ensure the quality of translations
10 steps to ensure the quality of translations 2
Steps to Ensure Translation Quality
Steps to Ensure Translation Quality
Steps to Ensure Translation Quality
Steps to Ensure Translation Quality
Steps to Ensure Translation Quality
Translation quality assurance software
(TQAS)
HOW IT WORKS
Software products for translation quality assurance purposes are tools that assist in identifying common mistakes found in translated texts, using formal attributes. They work only with bilingual files that are created in professional translation software.
The quality assurance (QA) software analyzes the source and target text of a specific sentence or paragraph, and records all the suspicious segments in a special report. The user then decides whether those segments contain mistakes or not.
�Significant limitations of TQAS
Examples of mistakes detected by such systems:
- The source and target text have different ending punctuation marks, upper/lower case letters, or formatting tags.
- The target text contains double spaces, spaces before punctuation marks, trailing spaces, etc.
- Incorrect decimal separators, measurement units, etc.
- The source text has abbreviations, while the target text does not (or vice versa).
- The same source segments are translated differently or, vice versa; the same translation is used for different source segments.
- The target text is much shorter or longer than the source text.
- There are untranslated segments or non-segmented text.
- The translated term does not match the one in the glossary.
- There are opening brackets without the corresponding closing brackets, incorrect quotation marks in the target text, etc.
- Spelling mistakes.
Examples of mistakes detected by such systems 2
As we can see, these are mainly the barely noticeable typos. Even professional translators can make such mistakes due to a lack of thorough attention. To look for such mistakes manually is a time-consuming task, whereas the QA software detects them immediately and without a hitch. That’s why, both translator and editor are recommended to run their texts through quality assurance systems: this will reduce the probability of negative feedback from their customers.
By entrusting these technical matters to the software, translators, and/or editors, are able to focus on more creative tasks, i.e. translation accuracy and the text quality.
TQAS Logic
Translation quality assurance model
Translation quality assessment parameters
Translation Reviewing and Editing
Translation quality control (assurance) programs
The First TQAS
Advantages and disadvantages of TQAS
�Classification criteria for translation quality assurance programs 1
Classification criteria for translation quality assurance programs 2
Classification criteria for translation quality assurance programs 3
Classification criteria for translation quality assurance programs 4
And another criterion for the classification of TQAS is their ability to work with different encodings and scripts. The table below summarizes the existing QA instruments, however, it does not claim to be complete.
Now let's take a closer look at some translation quality assurance programs.
Linguistic Toolbox
Linguistic ToolBox (v3.64) is a software application that provides automated pre-processing and post-processing work for translated or to be translated documents. It integrates many applications previously used in production as stand-alone tools into one application, allowing you to easily perform QA tasks on your files, as well as to extract valuable linguistic information from them.
Linguistic ToolBox (LTB) is Lionbridge's automated linguistic Quality Assurance tool. With LTB language professionals can perform a wide variety of linguistic checks on either bilingual or monolingual files, including:
check translation consistency at a segment level
check adherence to translation glossaries
check UI/UA consistency
check spelling
check untranslated and empty segments
check adherence to pre-customized linguistic guidelines
These are some of the benefits of using Linguistic ToolBox:
provides a documentary record of the Linguistic ToolBox QA process
helps to perform a stronger QA Check
helps to identify specific training needs
helps to track translation quality
�
ApSIC's Xbench program
�Xbench by ApSIC 2
�Xbench by ApSIC 3
�Xbench by ApSIC 4
�Xbench by ApSIC 5
�Xbench by ApSIC 6
�Xbench by ApSIC 7
�Xbench by ApSIC 8
�Xbench by ApSIC 9
�Xbench by ApSIC 10
QA Distiller 1
QA Distiller 2
QA Distiller 3
�ErrorSpy 1�
�ErrorSpy 2
�ErrorSpy 3
�ErrorSpy 4
�ErrorSpy 5
�ErrorSpy 6
�ErrorSpy 7
� TransCheck 1�
� TransCheck 2
� TransCheck 3
TransCheck 4
TransCheck 5
Verifika Online, Free and Paid
Verifika 2
Verifika 3
Verifika 4
Verifika 5
Terminology Check
Verifika 6
Trados | Developed by SDL. Plug-ins integrated in Trados TagEditor. Files that can be checked directly: ttx. User interface used: TagEditor. Protection: soft key license file. |
WF | Developed by Yves Champollion. A feature integrated in WF. Files that can be checked directly: doc, rtf. User interface used: MS Word. Protection: license code. |
Trados | Detects the majority of real formal errors (6 of 7). | Checks only bilingual .ttx files (does not check .doc and .rtf files directly). Does not detect errors in untranslatables (if they have not been included manually into the glossary). Not user-friendly. Learning curve is long. High number of false errors mostly associated with numbers translated by words (‘100’ translated as ‘бвЮ’) |
Trados | Detects the majority of real formal errors (6 of 7). | Checks only bilingual .ttx files (does not check .doc and .rtf files directly). Does not detect errors in untranslatables (if they have not been included manually into the glossary). Not user-friendly. Learning curve is long. High number of false errors mostly associated with numbers translated by words (‘100’ translated as ‘бвЮ’) |
Trados | Detects the majority of real formal errors (6 of 7). | Checks only bilingual .ttx files (does not check .doc and .rtf files directly). Does not detect errors in untranslatables (if they have not been included manually into the glossary). Not user-friendly. Learning curve is long. High number of false errors mostly associated with numbers translated by words (‘100’ translated as ‘бвЮ’) |
Trados | Detects the majority of real formal errors (6 of 7). | Checks only bilingual .ttx files (does not check .doc and .rtf files directly). Does not detect errors in untranslatables (if they have not been included manually into the glossary). Not user-friendly. Learning curve is long. High number of false errors mostly associated with numbers translated by words (‘100’ translated as ‘бвЮ’) |
ITR BlackJack 1
ITR BlackJack 2
ITR BlackJack 3
�Scope of ITR BlackJack application
The future of QA tools 1
The future of QA tools 2
The future of QA tools 3
The future of QA tools 4
The future of QA tools 5
The future of QA tools 6