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A Novel Rule Refinement Method for

SMT through Simulated Post-Editing

Sitong Yang1,2, Heng Yu?1, and Qun Liu1,3

1. Key Laboratory of Intelligent Information Processing. Institute of Computing Technology, Chinese Academy of Sciences

2. University of Chinese Academy of Sciences

3. CNGL, School of Computing, Dublin City University

2014/12/23

2014/12/23

Post-Editing

Pros & Cons

Our method

Data set & Experiment

Conclusion & Furture Work

Post Editing(PE)

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Automatic post editing

Post Editing(PE)

2014/12/23

MT

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

MT Post Editing (SMT)

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

MT Post Editing (SMT)

Result

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

MT Post Editing (SMT)

Result

Multiple stream

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

MT

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

Post Editing MT

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

Better MT Post Editing

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Post Editing(PE)

2014/12/23

Single stream

Better MT Post Editing

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

2014/12/23

Post-Editing

Pros & Cons

Our method

Data set & Experiment

Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

• Better adaptation

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

• Better adaptation

• No additional burden for SMT

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

• Better adaptation

• No additional burden for SMT

Cons:

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

• Better adaptation

• No additional burden for SMT

Cons:

• Expensive

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Pros & Cons

2014/12/23

Pros:

• Better adaptation

• No additional burden for SMT

Cons:

• Expensive

• Hard to learn

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

2014/12/23

Post-Editing

Pros & Cons

Our method

Data set & Experiment

Conclusion & Furture Work

Our method

2014/12/23

We Learn from PE results to enhance the original SMT Model.

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Our method

2014/12/23

We Learn from PE results to enhance the original SMT Model.

• Simulated Post Editing

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Our method

2014/12/23

We Learn from PE results to enhance the original SMT Model.

• Simulated Post Editing

• Error-Driven Frame work

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Our method

2014/12/23

We Learn from PE results to enhance the original SMT Model.

• Simulated Post Editing

• Error-Driven Frame work

Error Detection Rule Extraction Rule Filteration

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Daniel [2010] formulated the task of simulated post-editing, wherein pregenerated reference translations are used as a stand-in for actual post-editing.

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

PE

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

PE

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Expensive

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

Reference

PE

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

Reference

PE

SiPE

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Simulated PE

2014/12/23

Machine Translation

Human Post Editing

Reference

PE

SiPE

Cheap

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 潦倒

Src:

Tgt:

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 潦倒

Src:

Tgt:

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 潦倒

Src:

Tgt:

Alignment Error!

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 一只 狗 的 生活

这个 人 生活 潦倒

Src:

Tgt:

MT:zhege ren shenghuo yizhi gou de shenghuo

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 一只 狗 的 生活

这个 人 生活 潦倒

Src:

Tgt:

MT:

这个 人 生活 潦倒Ref:zhege ren shenghuo liaodao

zhege ren shenghuo yizhi gou de shenghuo

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error-Driven Rule Refinement

2014/12/23

This man lived a dog ’s life

这个 人 生活 一只 狗 的 生活

这个 人 生活 潦倒

Src:

Tgt:

MT:

这个 人 生活 潦倒Ref:zhege ren shenghuo liaodao

zhege ren shenghuo yizhi gou de shenghuo

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Editing distance

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

TERplus

Synonym match Stem match

Phrase substitution Shift

Deletion Word substitution

Insertion

Editing distance→

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

Y T Ps S D Ws I Y T Ps S D Ws I 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Y: Synonym match

T: Stem match

Ps: Phrase subst i t ut i on

S: Shif t

D: Delet i on

Ws: Word subst i t ut i on

I: Insert i on

SiPE Distribution SiPE Precision

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

Y T Ps S D Ws I Y T Ps S D Ws I

small sample hard to learn

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Y: Synonym match

T: Stem match

Ps: Phrase subst i t ut i on

S: Shif t

D: Delet i on

Ws: Word subst i t ut i on

I: Insert i on

SiPE Distribution SiPE Precision

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Y: Synonym match

T: Stem match

Ps: Phrase subst i t ut i on

S: Shif t

D: Delet i on

Ws: Word subst i t ut i on

I: Insert i on

Error Detection

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

Y T Ps S D Ws I Y T Ps S D Ws I

SiPE Distribution SiPE Precision

Rule extration and Filteration

2014/12/23

Filteration

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Rule extration and Filteration

2014/12/23

Filteration • C (words of Context )

• P (words of Source side Substitution part)

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Rule extration and Filteration

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

这个 人 生活 一只 狗 的 生活MT:

这个 人 生活 潦倒Ref:zhege ren shenghuo liaodao

zhege ren shenghuo yizhi gou de shenghuo

C=1 P=4

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

Rule extration and Filteration

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

这个 人 生活 一只 狗 的 生活MT:

这个 人 生活 潦倒Ref:zhege ren shenghuo liaodao

zhege ren shenghuo yizhi gou de shenghuo

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

Rule extration and Filteration

2014/12/23

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

This man lived a dog ’s life

这个 人 生活 一只 狗 的 生活

Src:

MT:

这个 人 生活 潦倒Ref:zhege ren shenghuo liaodao

zhege ren shenghuo yizhi gou de shenghuo

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Rule extration and Filteration

2014/12/23

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Rule extration and Filteration

2014/12/23

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

Original Bilingual rule :

lived a dog ‘s life ||| 生活 一只 狗 的 生活 ||| 0.5 0.0149508 0.4 7.97148e-06 2.718

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Rule extration and Filteration

2014/12/23

Extration Monolingual rule:

生活 一只狗的生活 ||| 生活 潦倒

Original Bilingual rule :

lived a dog ‘s life ||| 生活 一只 狗 的 生活 ||| 0.5 0.0149508 0.4 7.97148e-06 2.718

New rule:

lived a dog ‘s life |||生活 潦倒 ||| 0.5 0.0149508 0.4 7.97148e-06 2.718

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Filtering Criterion

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Filtering Criterion

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

calming the emotions of

calming the feelings of

C=2 P=2

the beginning of the new

the opening

C=1 P=3

C=2 P=1

between the faculty members and

between teachers and

C=2 P=3

to open up and

opening up and

Filtering Criterion

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

calming the emotions of

calming the feelings of

C=2 P=2

the beginning of the new

the opening

C=1 P=3

C=2 P=1

between the faculty members and

between teachers and

C=2 P=3

to open up and

opening up and

Filtering Criterion

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

calming the emotions of

calming the feelings of

C=2 P=2

the beginning of the new

the opening

C=1 P=3

C=2 P=1

between the faculty members and

between teachers and

C=2 P=3

to open up and

opening up and

Filtering Criterion

2014/12/23

• Should Contain More Context ( c>=2 )

• More Accurated Substitution ( 2<=p<=5 )

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

2014/12/23

Post-Editing

Pros & Cons

Our method

Data set & Experiment

Conclusion & Furture Work

Experiments-Setup

2014/12/23

• Baseline system: Moses:a state-of-art phrase-based SMT system

Hiero: Hierarchical phrase-based system

• Word-alignment tool: GIZA++

• Language model: SRILM toolkit

• MT evaluation metric: Case-insensitive Bleu-4, Ter-plus

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Experiments-Setup

2014/12/23

• Data Set:

• SiPE dataset:

Training-set: 10-fold cross validation

1 10 9 8 7 6 5 4 3 2

SMT MT Result

10 9 8 7 6 5 4 3 2 1 10 group

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Domain Language Training-set Dev-set Test-set

News C2E 240k Nist02 Nist04 Nist05 Nist06

Medical C2E 560K 1000 1000

Main Results:Rule Refinement Method

2014/12/23

• new

• medical

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

System Bleu TERp

04 05 06 avg 04 05 06 avg

moses 32.02 29.00 27.18 29.34 61.47 64.04 66.45 64.47

balanced 33.47 30.02 28.80 30.76 60.24 59.37 63.89 61.77

hiero 34.10 29.89 28.78 30.92 59.55 62.73 64.84 62.37

balanced 34.09 29.87 28.81 30.92 59.56 62.75 64.85 62.38

System Bleu TERp

moses 29.64 66.06

ours 30.15 63.80

hiero 29.48 63.53

ours 30.26 62.57

Main Results: Rule Filteration

2014/12/23 Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

BLEU Score

Rule-size(1000)

2014/12/23

Post-Editing

Pros & Cons

Our method

Data set & Experiment

Conclusion & Furture Work

Conclusion & Furture work

2014/12/23

Conclusion: • a novel rule refinement method for SMT.

• a simulated post-editing paradigm to efficiently collect the training data.

• TER-Plus for translation error detection.

• a simple and effectively heuristic algorithm for rule-filteration.

• both phrase-based and syntax-based SMT systems.

• gains an overall improvement of 1.4 BLEU point without using any additional resources.

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Conclusion & Furture work

2014/12/23

Furture work:

• test our method on more complex translation models.

• produce more powerful feedbacks to improve SMT systems.

Sitong Yang, Heng Yu, and Qun Liu. A Novel Rule Refinement Method for SMTthrough Simulated Post-Editing

>> Post Editing >> Pros & Cons >> Our method >> Data set & Experiment >> Conclusion & Furture Work

Thanks for your attention!

2014/12/23

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