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Translation memories
Hermes Traducciones y Servicios Lingüísticos
A brief history…
Processes have changed…

…but not the ultimate goal.
Productivity
Found in Translation,
Nataly Kelly & Jost Zetzsche

(2012)
LAN
Translation
Memory
LAN Server

Project
Managers

Translators

Engineering

Revisers
WAN
Translator

Reviser

DTPer

Project Manager

INTERNET

Translation
Memory
LAN Server
Project
Managers

Translators

Engineering

Revisers
Clouding
Crowdsourcing

MT
TEnTs

CAT
SaaS
Translation
Memory

LAN Server
Project
Managers

Engineering

Revisers
Translators
Internals of a translation memory
Translation Memory Exchange

•OSCAR (Open Standards for Container/Content
Allowing Re-use)
•TMX Standard (Translation Memory eXchange).
•Leveraging of translation memories regardless the
tool or platform.
The ancestors of CAT Tools…

XL8

DOS tool in a workflow known as XLN
IBM TranslationManager

Translation
proposal

Exact match

Source text

Proposed terms in dictionary
Trados Workbench
Déjà-Vu
Star Transit (no memory!)
WordFast
SDLx
memoQ
OmegaT (free!)
Workflow tools: Across
Across
SDL Idiom World Server
Specialised tools: Catalyst
Specialised tools: Passolo
Basic TM features in CAT tools

 Leverage of previous translations.
 Analysis for quoting, planning and keeping
track of progress.
 Concordance for sub-segment searches.
 Maintenance to perform global changes,
import/export content, etc.
Leveraging TMs

CAT tools provide answers to these questions:
 What is the fuzzy match of the segment?
 What parts of the text are different?
 Where is the match coming from?
Fuzzy match display
Fuzzy match display (II)
Fuzzy match display (III)
Fuzzy match display (IV)
Analysis feature

 Every word from each segment is assigned to a different match band:
101%
100%
99-95%
94-85%
84-75%
New words
Repetitions
Analysis results
Different tools, different word counts
CAT Tool 1

CAT Tool 2

101%

41,352

101%

29,782

100%

4194

100%

16,002

99-95%

3698

99-95%

6038

94-85%

2077

94-85%

2633

84-75%

5270

84-75%

1369

New words

5241

New words

6150

Repetitions

2068

Repetitions

5451

Total

63,900

Total

58,425
Different word counts

 There is no standard fuzzy matching algorithm.
 CAT tools may have different auto-substitution elements:
 numbers, dates, acronyms, variables, etc.






Different approaches to 101% matches.
Cross-file repetitions and internal fuzzy leverage.
Different file format filters.
Different segmentation rules.
 SRX is the standard for segmentation rules.
Weighted word count
 Each band is assigned a percentage of the full word rate
according to a weighting scheme (negotiable per client). For
example:
101%
0%
100%

20%

99-95%

30%

94-85%

40%

84-75%

50%

New words

100%

Repetitions

20%
Different tools, different word counts (II)
CAT Tool 1
Band

41,352

Weighted
words

Words

101%

CAT Tool 2

x 0%

Band

Words

0

101%

29782

Weighted
words
x 0%

0

100%

4194 x 20%

839

100%

16002 x 20%

3200

99-95%

3698 x 30%

1109

99-95%

6038 x 30%

1811

94-85%

2077 x 40%

831

94-85%

2633 x 40%

1053

84-75%

5270 x 50%

2635

84-75%

1369 x 50%

684

New words

5241 x 100%

5241

New words

6150 x 100%

6150

Repetitions

2068 x 20%

414

Repetitions

5451 x 20%

1090

11,069

Total

Total

63,900

58,425

14,989
Weigted word count tools
TMs and statistical analysis
 If big enough, TMs provide the bilingual corpus
necessary to build SMT engines.
 Some CAT tools can scan the TM in search of
correlation between words in source and target.

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