qui - Tekom

The first two types, translation memory and terminology tools, are
typically combined for translation of documentation, online help, or html
text. Software localization tools are used to translate and test software user
interfaces, i.e. dialog boxes, menus, and messages.
Translation Memory tools
Basically, a translation memory system is no more than a database
which stores translated sentences.
When a source text is imported into a translation memory tool, the text
is segmented. Usually segmentation is performed at sentence level, where
segments are separated by colons, commas, question marks, etc. However,
it is also possible to segment texts on a paragraph basis, where segments
are separated by paragraph marks. Each segment is a record in the
translation memory database, and each record can store several fields, such
as source text segment, translated segment, language, name of translator,
date of translation, or type of text. The number of possible data fields in
records differs per translation memory tool.
When text segmented by a translation memory tool is translated, all
translations are automatically stored in the records containing the source
segments. If identical or similar sentences occur in the source text, the
translations are automatically retrieved from the database and inserted into
the target text. An identical segment that is automatically translated is
called a full match; a similar sentence that is automatically translated is
called a fuzzy match. Obviously, fuzzy matches need to be post-edited to
make them correspond to the source text. A fuzzy match is for example a
sentence where only one word has changed.
On large projects, translation memory databases can be shared
amongst a team of translators. This means that if translator A has translated
a sentence which also occurs in the text that translator B is translating, A's
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