IN-CONTEXT EXACT (ICE) MATCHING

• US 20100262621A1
• Filed: 10/27/2009
• Published: 10/14/2010
• Est. Priority Date: 03/05/2004
• Status: Abandoned Application

• Current Assignee: Daniel Brockmann, Kevin Gillespie, Oliver Christ, Russ Ross
• Original Assignee: Daniel Brockmann, Kevin Gillespie, Oliver Christ, Russ Ross
• Inventors: Ross, Russ, Gillespie, Kevin, Brockmann, Daniel, Christ, Oliver
• Application Number:
  US12/606,603
• Publication Number:
  US 20100262621A1
• Time in Patent Office: Days
• US Class Current: 707/780
• CPC Class Codes: G06F 16/90344 by using string matching techniques
• CPC Class Codes: G06F 40/47 Machine-assisted translation, e.g. using translation memory

Abstract

Methods, systems and program product are disclosed for determining a matching level of a text lookup segment with a plurality of source texts in a translation memory in terms of context. In particular, embodiments of the present invention determines any exact matches for the lookup segment in the plurality of source texts, and determines, in the case that at least one exact match is determined, that a respective exact match is an in-context exact (ICE) match for the lookup segment in the case that a context of the lookup segment matches that of the respective exact match. The degree of context matching required can be predetermined, and results prioritized. The invention also includes methods, systems and program products for storing a translation pair of source text and target text in a translation memory including context, and the translation memory so formed. The invention ensures that content is translated the same as previously translated content and reduces translator intervention.

Claims

1. A method of determining a matching level of a plurality of source texts stored in a translation memory to a lookup segment to be translated, the method comprising:

determining any exact matches for the lookup segment in the plurality of source texts; and

determining, in the case that at least one exact match is determined, that a respective exact match is an in-context exact (ICE) match for the lookup segment in the case that a context of the lookup segment matches that of the respective exact match,

wherein the context includes at least two levels, and

wherein said at least two levels comprise a source usage context level and a target usage context level.

2. The method of claim 1, wherein, in the case that greater than one ICE match is determined, the ICE match determining includes prioritizing each ICE match according to a degree of context matching in order that a more appropriate ICE match may be preferred over one or more other ICE matches.

3. The method of claim 2, wherein an ICE match with both source and target usage context levels matching those of the lookup segment is attributed a higher degree of context matching than an ICE match with only a source usage context level matching that of the lookup segment.

4. The method of claim 2, wherein an ICE match with a target usage context level matching that of the lookup segment is attributed a higher degree of context matching than an ICE match with only a source usage context level matching that of the lookup segment.

5. The method of claim 1, wherein the source usage context level comprises a preceding source usage context level and/or the target context usage level comprises a preceding target usage context level.

6. The method of claim 1, wherein the source usage context level comprises a post source usage context level and/or the target context usage level comprises a post target usage context level.

7. The method of claim 1, wherein said at least two levels comprise a structural context level.

8. The method of claim 7, wherein, in the case that greater than one ICE match is determined, the ICE match determining includes prioritizing each ICE match according to a degree of context matching in order that a more appropriate ICE match may be preferred over one or more other ICE matches,

wherein the source usage context level comprises a preceding source usage context level and the target context usage level comprises a preceding target usage context level, and

wherein an ICE match with a preceding source and/or preceding target usage context level matching that of the lookup segment is attributed a higher degree of context matching than an ICE match with only a structural context level matching that of the lookup segment.

9. The method of claim 1, wherein the ICE match determining step indicates that a respective exact match is an ICE match for the lookup segment only in the case that two or more context levels of the lookup segment match that of the respective exact match.

10. The method of claim 9, wherein the ICE match determining step indicates that a respective exact match is an ICE match for the lookup segment only in the case that at least one usage context level and a structural context level of the lookup segment match that of the respective exact match.

11. The method of claim 10, wherein the at least one usage context level comprises a preceding target usage context level.

12. The method of claim 10, wherein the at least one usage context level comprises a preceding source usage context level.

13. The method of claim 1, wherein in the case that greater than one ICE match is determined, the ICE match determining includes prioritizing each ICE match according to a degree of context matching in order that a more appropriate ICE match may be preferred over one or more other ICE matches, and wherein the prioritizing includes:

first preferring an ICE match having source and target usage context levels and a structural context level matching those of the lookup segment.

14. The method according to claim 13, comprising, where the first preferring step is non-conclusive, second preferring an ICE match having source and target usage context levels matching those of the lookup segment.

15. The method according to claim 13, wherein said source context level is a preceding source usage context level and said target usage context level is a preceding target usage context level.

16. The method according to claim 14, comprising, where the second preferring step is non-conclusive, third preferring an ICE match having either a preceding source usage context level or a preceding target usage context level that matches that of the lookup segment over an ICE match having only either a post source usage context level or a post target usage context level matching that of the lookup segment.

17. The method according to claim 16, comprising, where the third preferring step is non-conclusive, fourth preferring an ICE match having any usage context level matching that of the lookup segment over an ICE match having only a structural context level matching that of the lookup segment.

18. The method according to claim 17, comprising, where the fourth preferring step is non-conclusive, fifth preferring an ICE match having a structural context level matching that of the lookup segment over an ICE match having a different structural context level from that of the lookup segment.

19. The method according to claim 18, comprising, where the fifth preferring step is non-conclusive, sixth preferring an ICE match with a closest position to the position of the lookup segment within the asset.

20. The method of claim 2, further comprising allowing a user to select the ICE match based on the prioritization.

21. The method of claim 1, wherein the lookup segment includes a plurality of lookup segments that are substantially identical in terms of content, and

wherein the ICE match determining includes determining an ICE match for each lookup segment.

22. The method of claim 21, wherein at least one lookup segment has a different ICE match than at least one other lookup segment.

35. A computer program, or a suite of computer programs, comprising a set of instructions arranged to cause a computer, or a suite of computers, to perform the method of claim 1, 24, or 31.

36. A computer readable medium comprising the computer program or programs of claim 35.

23. A system for determining a matching level of a plurality of source texts stored in a translation memory to a lookup segment to be translated, the system comprising:

an exact match determinator that determines any exact matches for the lookup segment in the plurality of source texts; and

an in-context exact (ICE) match determinator that determines in the case that at least one exact match is determined, that a respective exact match is an in-context exact (ICE) match for the lookup segment in the case that a context of the lookup segment matches that of the respective exact match,

wherein the context includes at least two levels, and

wherein said at least two levels comprise a source usage context level and a target usage context level.

24. A method of storing a translation unit of source text and target text in a translation memory, the method comprising:

assigning a context to the translation unit, wherein the context includes at least two levels, said at least two levels comprising a source usage context level and a target usage context level; and

storing the context with the translation unit

25. A system for storing a translation unit of source text and target text in a translation memory, the system comprising:

a segment identifier assigner that assigns a context to the translation unit, wherein the context includes at least two levels, said at least two levels comprising a source usage context level and a target usage context level; and

a translation memory generator that stores the context with the translation unit.

26. A translation memory comprising:

a plurality of source texts for comparison to a lookup segment; and

a context identifier for each source text,

wherein the context identifier includes a source usage context portion and a target usage context portion.

27. A translation memory according to claim 26, wherein the source usage and/or target usage context portion comprise a preceding and/or post usage context portion.

28. A translation memory according to claim 26, wherein the context identifier comprises a structural context portion.

29. A client-side system for interacting with a translation system including a translation memory, the system comprising:

a segment identifier assigner that assigns a segment identifier to a segment to be translated by the translation system, the segment identifier indicating a source usage context and a target usage context of the segment; and

a communicator that communicates the segment identifier assignment for storage as part of the translation memory.

30. A system according to claim 29, wherein the segment identifier comprises a structural context.

31. A method of determining a matching level of a plurality of source texts stored in a translation memory to a lookup segment to be translated, the method comprising:

determining any fuzzy matches for the lookup segment in the plurality of source texts; and

determining, in the case that at least one fuzzy match is determined, that a respective fuzzy match is an in-context fuzzy match for the lookup segment in the case that a context of the lookup segment matches that of the respective fuzzy match.

32. A method according to claim 31, wherein said determined fuzzy matches comprise fuzzy matches having the same degree of fuzzy matching.

33. A method according to claim 31, wherein the context comprises a structural context.

34. A system for determining a matching level of a plurality of source texts stored in a translation memory to a lookup segment to be translated, the system comprising:

a fuzzy match determinator that determines any fuzzy matches for the lookup segment in the plurality of source texts; and

a fuzzy in-context match determinator that determines, in the case that at least one fuzzy match is determined, that a respective fuzzy match is an in-context fuzzy match for the lookup segment in the case that a context of the lookup segment matches that of the respective fuzzy match.