Segmentation
Texts to be translated are divided into segments. Typically the segmentation is based on punctuation and the occurrence of special characters such as line breaks, tab stops, etc.
What is the optimal size for a segment? What are the rules for segmentation based on? How can information about segmentation and segment-size be exchanged between different tools?
TM Matches
Matches from the Translation Memory are typically marked and ranked with a percentage indicating the correspondence of the segment to be translated with the segments in the Translation Memory. One distinguishes between no-matches, fuzzy matches so-called fuzzy matches (where a considerable part of the segments match), 100% matches (where the segment from the TM is identical to the segment to be translated) and more recently matches that take into account the context of a given segment (context matches or 101% matches).
What matching algorithms are currently being used? How can they be improved? How are matches presented to the users? Are percentages the only way to indicate correspondences?
Subsegment matching
Traditional Translation Memory matches are based on the similarity of the source text with the entire segment. Recently additional matching algorithms have been introduced to find partial matches.
Concordance
The concordancers available in current translation environments are usually bilingual and allow the user to search the translation memory for a particular word or phrase. The search results are then displayed in a Concordance Search window together with their contexts and the source-language word being highlighted.
Term recognition
Traditionally terminology is stored and administered in a database separate from the Translation Memory. Many tools provide real-time access to the contents of the terminology database during translation.
How can the results of the terminology recognition be improved? What part of the information from the terminology database should be displayed? How can other terminology sources be made available? How does the structure of the terminology database influence term recognition?
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Last updated: 21 Sep 2017 19:46, by: mkappus