using translation memory to speed up translation process

Using Translation Memory to Speed up Translation

ProcessMarija Brkić, [email protected]

Department of Informatics - University of Rijeka

Sanja Seljan, [email protected] of Information Sciences

Faculty of Humanities and Social Sciences- University of Zagreb

Božena Bašić Mikulić, [email protected] school “Turnić”

2/22

Outline

• Motivation

• Translation memories

• Experimental study• Description• Results

• Evaluation

• Conclusion

Marija Brkić, Sanja Seljan, Božena Bašić Mikulić

3/22

Motivation

• Globalization

• EU accession negotiations

• Information exchange


languages differ culturally, stylistically, syntactically and lexically

consistency

data sharing

insufficient number of translators

short deadlines

4/22

Outline

• Motivation



• Evaluation

• Conclusion


5/22

Translation memories


• Approaches• Sentence-based approach• Character-string-in-bitext-based approach

• Advantages

• Disadvantages

6/22

Sentence-based approach

• Translation Units (Tus)– Sentences– Titles– Subtitles– List entries

• High precision, low recall search

• Fuzzy matching • Noise• Silence


7/22

Character-string-in-bitext-based approach

• Character strings of any length– Several consecutive identical sentences

• Unreliably small matches• Noise

• No support for fuzzy matching• Silence

• Recycling internal repetitions through terminology databases


8/22

Advantages• Consistency

– Internal and external repetitions– Shared projects

• Speed– Globalization

• Cost reduction• Preservation of original page layout• Statistics

– Scheduling localization projects


9/22

Disadvantages

• Initial decrease in productivity

• Beneficiary effects felt only on repetitive texts

• TM needs to be of considerable size

• Is alignment worthwhile and preconditions met?

• Database maintenance


10/22

Disadvantages (cont.)

• File format support

• The quality of translation

• Lack of language knowledge

• Context insensitivity

• Additional costs


11/22

Outline

• Motivation



• Evaluation

• Conclusion


12/22

Experimental study

• Feature: the speed of the translation process

• Tool: ATRIL – Déjà vu• Parameters:

• Measure• Evaluation procedure• Score• Metric• Languages• Text type• System used


13/22

Experimental study (cont.)


• Text selection phase

• Preparation phase

• Translation phase

• Revision phase

14/22

Experimental study (cont.)


Figure 1: Matches found by DVX after the third source text was inserted

15/22

Problems


• morphology

• word order

• capitalization

• punctuation

16/22

Outline

• Motivation



• Evaluation

• Conclusion


17/22

Evaluation• Automatic

• Manual– Post-editing– 1-4 scale


20%

71%

7% 2%

absolutely uselessmany changes neededfew changes neededno changes needed

Chart 1: Effectiveness of TM

18/22

Evaluation (cont.)


42 36

69 63

3436

01530456075

First text Secondtext

Third text

Tim

e (m

inu

tes)

Traditionaltranslation

TM

Chart 2: Total time for traditional translation and TM

19/22

Evaluation (cont.)


Chart 3: Time spent in translation process for traditional translation and TM

37

29

37

23

3130

05

10152025303540

First text Secondtext

Third text

Tim

e (

min

ute

s)

Traditionaltranslation

TM

20/22

Outline

• Motivation



• Evaluation

• Conclusion


21/22

Conclusion

• TMs speed up the translation process

• Database maintenance time-consuming only in the beginning

• Fast, consistent and professional-quality translations


22/22

Thank you on your attention!


using translation memory to speed up translation process

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