Editing Translation memory (section)

=== Offline functions ===

==== Import ====
This function is used to transfer a text and its translation from a text file to the TM. [[Data transformation|Import]] can be done from a ''raw format'', in which an external [[source text]] is available for importing into a TM along with its translation. Sometimes the texts have to be reprocessed by the user. There is another format that can be used to import: the ''native format''. This format is the one that uses the TM to save translation memories in a file.

==== Analysis ====
The process of analysis involves the following steps:
;Textual parsing
: It is very important to recognize punctuation correctly in order to distinguish between for example a full stop at the end of a sentence and a full stop in an abbreviation. Thus, mark-up is a kind of pre-editing. Usually, materials which have been processed through translators' aid programs contain mark-up, as the translation stage is embedded in a multilingual document production line. Other special text elements may be set off by mark-up. There are special elements which do not need to be translated, such as proper names and codes, while others may need to be converted to native format.
;Linguistic parsing
: The base form reduction is used to prepare lists of words and a text for automatic retrieval of terms from a term bank. On the other hand, syntactic parsing may be used to extract multi-word terms or phraseology from a [[source text]]. So parsing is used to normalise word order variation of phraseology, this is which words can form a phrase.
;Segmentation
: Its purpose is to choose the most useful translation units. Segmentation is like a type of parsing. It is done monolingually using superficial parsing and alignment is based on segmentation. If the translators correct the segmentations manually, later versions of the document will not find matches against the TM based on the corrected segmentation because the program will repeat its own errors. Translators usually proceed sentence by sentence, although the translation of one sentence may depend on the translation of the surrounding ones.
;Alignment
: It is the task of defining translation correspondences between source and target texts. There should be feedback from alignment to segmentation and a good alignment algorithm should be able to correct initial segmentation.
;[[Term extraction]]
: It can have as input a previous dictionary. Moreover, when extracting unknown terms, it can use parsing based on text statistics. These are used to estimate the amount of work involved in a translation job. This is very useful for planning and scheduling the work. Translation statistics usually count the words and estimate the amount of repetition in the text.

==== Export ====
Export transfers the text from the TM into an external text file. Import and export should be inverses.