Introduction
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Transcript Introduction
A Comparison of Statistical Post-Editing on
Chinese and Japanese
Midori Tatsumi and Yanli Sun
Under the supervision of:
Sharon O’Brien; Minako O’Hagan;
Fred Hollowood; Johann Roturier
Outline
1
Introduction
2
Analysis on modifications made by SPE
3
Evaluation on Sentence Level
4
Conclusion
Introduction
• Rule-Based Machine Translation (RBMT)
– Three Stages:
• Analysis: analyze a source text into abstract lexical and structural
representations
• Transfer: convert the source language representations into target language
representations
• Generation: generate the target text
Introduction
• Rule-Based Machine Translation (RBMT)
– Three Stages:
• Analysis: analyze a source text into abstract lexical and structural representations
• Transfer: convert the source language representations into target language representations
• Generation: generate the target text
• Statistical Machine Translation (SMT)
– Two Stages:
• Training: automatically learn translation and language knowledge from parallel
corpus
• Decoding: translate new sentences using the above learned knowledge
Introduction
• Rule-Based Machine Translation (RBMT)
– Three Stages:
• Analysis: analyze a source text into abstract lexical and structural representations
• Transfer: convert the source language representations into target language
representations
• Generation: generate the target text
• Statistical Machine Translation (SMT)
– Two Stages:
• Training: automatically learn translation and language knowledge from parallel
corpus
• Decoding: translate new sentences using the above learned knowledge
• Post-Editing (PE)
– Human post-editing
– Automatic post-editing
– Statistical post-editing (SPE)
Introduction
Flowchart of SPE
• Statistical Post-editing (SPE) of Rule-Based
Machine Translation (RBMT) Output
•
Knight & Chander (1994)
•
Simard et al. (2007a, 2007b)
RBMT output
Reference
SMT
Flowchart of RBMT
Source
RBMT
Source
RBMT
Output 1
Human Post-editor
Final output
Output 1
SPE module
Output 2
Human Post-editor
Final output
Introduction
– Experimental setting
RBMT output
English
Reference
Translation Memory:
529,822 (ZH) and
143,742 (JA)
SMT
Source
Moses
RBMT
Systran -UD: 8,832
entries (ZH) and
6,363 entries (JA)
SPE module
Output 1
Chinese (ZH);
Japanese (JA)
Output 2
Human Post-editor
Final output
Introduction
– Evaluate SPE: Compare Output 2 and output 1
RBMT output
Reference
SMT
Source
RBMT
Output 1
SPE module
Output 2
Human Post-editor
Final output
Analysis of the Modifications Made by SPE
Methodology
• Pilot project
– Random selection of 100 sentences for each language
• Classify and Evaluate the changes
– Classification(Vilar et al. 2006 )
• Alteration, Deletion, Addition of Content/Function words
• Form of Tense/Voice/Imperative/Formality (Politeness)
• Fixed expression
• Reordering
• Punctuation
– Evaluation (Dugast et al. 2007 )
• Improvement
• Degradation
• Equivalent
Analysis of the Modifications Made by SPE
Quantitative Evaluation
• Modifications distribution in Japanese and Chinese
Improvement
ZH
JA
ZH
Equivalent
JA
ZH
JA
137
45
19
40
28
25
38
45
6
9
17
30
0
9
0
2
0
1
51
57
4
5
12
16
4
0
3
2
2
0
Function words
12
1
8
2
15
1
Tense or Voice
6
3
0
0
3
5
Formality
0
1
1
0
0
0
Imperative
0
8
0
0
0
2
Fixed Expression
8
0
0
0
0
1
Word / Phrase Reordering
9
1
3
3
0
1
31
47
4
9
0
4
296
217
48
72
77
85
Alteration
Deletion
Addition
Forms
Punctuation
Total
Content words
Degradation
Function words
Content words
Function words
Content words
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Similarities
Alteration of function words
Source
MT output
SPE output
To maintain …
JA: 保守するため…
維持するには…
Reverts to …
ZH: 恢 复 对…
恢 复 到 ...
Deletion of function words
Source
MT output
SPE output
the actions that you specify for
that rule
JA: あなたがその規則のために指定す
る処理
そのルールに指定する処理
After you configure your …
ZH: 在 您 配 置 您 的…
配 置…
Source
MT output
SPE output
MPE provides an option …
JA: オプションを提供 します 。
オプションがあります .
while the synchronization is in
progress…
ZH: , 当 同 步 进 展 中 时…
同 步 处 理….
Punctuation
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Similarities
Alteration of function words
Source
MT output
SPE output
To maintain …
JA: 保守するため…
維持するには…
Reverts to …
ZH: 恢 复 对…
恢 复 到 ...
Deletion of function words
Source
MT output
SPE output
the actions that you specify for
that rule
JA: あなたがその規則のために指定す
る処理
そのルールに指定する処理
After you configure your …
ZH: 在 您 配 置 您 的…
配 置…
Source
MT output
SPE output
MPE provides an option …
JA: オプションを提供 します 。
オプションがあります .
while the synchronization is in
progress…
ZH: , 当 同 步 进 展 中 时…
同 步 处 理….
Punctuation
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Similarities
Alteration of function words
Source
MT output
SPE output
To maintain …
JA: 保守するため…
維持するには…
Reverts to …
ZH: 恢 复 对
恢复到
Deletion of function words
Source
MT output
SPE output
the actions that you specify for
that rule
JA: あなたがその規則のために指定す
る処理
そのルールに指定する処理
After you configure your …
ZH: 在 您 配 置 您 的
配置
Source
MT output
SPE output
MPE provides an option …
JA: オプションを提供 します 。
オプションがあります .
while the synchronization is in
progress…
ZH: , 当 同 步 进 展 中 时…
同 步 处 理….
Punctuation
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Differences
Alteration of content words
Source
MT output
SPE output
console commands
JA: コンソールは命じます
console コマンド
number
JA: 番号
数
subdomains
ZH: subdomains
子域
Addition of function words
Source
MT output
SPE output
A black dash indicates that it is
disabled.
ZH: 黑 色 破 折 号 表 明 它 禁 用。
黑 色 线 表 明 它 已 禁 用。
On the Spim tab…
ZH: 在 Spim 选 项 卡…
在 Spim 选 项 卡 上…
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Differences
Alteration of content words
Source
MT output
SPE output
console commands
JA: コンソールは命じます
console コマンド
number
JA: 番号
数
subdomains
ZH: subdomains
子域
Addition of function words
Source
MT output
SPE output
A black dash indicates that it is
disabled.
ZH: 黑 色 破 折 号 表 明 它 禁 用。
黑 色 线 表 明 它 已 禁 用。
On the Spim tab…
ZH: 在 Spim 选 项 卡…
在 Spim 选 项 卡 上…
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Differences
Imperatives forms
Source
MT output
SPE output
(Imperative ending)
JA: して下さい
します
Source
MT output
SPE output
In general
ZH: 一 般 情 况 下,…
通 常 情 况 下,…
Source
MT output
SPE output
These threats are then…
ZH: 这 些 威 胁 然 后 …
然 后, 这 些 威 胁…
Fixed expression
Reordering
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Differences
Imperatives forms
Source
MT output
SPE output
(Imperative ending)
JA: して下さい
します
Source
MT output
SPE output
In general,…
ZH: 一 般 情 况 下,…
通 常 情 况 下,…
Source
MT output
SPE output
These threats are then…
ZH: 这 些 威 胁 然 后…
然 后, 这 些 威 胁…
Fixed expression
Reordering
Analysis of the Modifications Made by SPE
Qualitative Evaluation
• Differences
Imperatives forms
Source
MT output
SPE output
(Imperative ending)
JA: して下さい
します
Source
MT output
SPE output
In general,…
ZH: 一 般 情 况 下,…
通 常 情 况 下,…
Source
MT output
SPE output
These threats are then…
ZH: 这 些 威 胁 然 后…
然 后, 这 些 威 胁…
Fixed expression
Reordering
Evaluation on Sentence Level
• Methodology
–
–
–
–
Same 100 segments
Effect of SPE on Fluency, Adequacy and PE time
Four evaluators per language
Random distribution of MT output and SPE output
Source_EN
Output 1
Output 2
Fluency
Adequacy
Less-PE time
Turns on or off the special
meaning of metacharacters.
オン/オフ回転メタ文字の
特別な意味。
有効または無効にメタ文字
の特別な意味します.
1/2/ E
1/2/ E
1/2/ E
• Kappa scores
(Inter-evaluator agreement level)
– Japanese: moderate to substantial agreement
– Chinese: generally fair agreement
Criteria
Chinese
Japanese
Fluency
0.276
0.598
Adequacy
0.288
0.582
Less PE time
0.284
0.624
Evaluation on Sentence Level
Results and Analysis
• Improvement by SPE:
– Chinese ─ Fluency and Adequacy: ≈ 40%, PE time: ≈ 50%
– Japanese ─ Fluency, Adequacy, PE time: ≈ 60%
Language
Criteria
Chinese
Fluency
Adequacy
Japanese
Less PE Time
Fluency
Adequacy
Less PE Time
MT
12.75
15.50
15.00
14.50
8.00
9.75
SPE
37.75
38.00
48.25
59.25
61.50
62.50
Equal
49.50
46.50
36.75
26.05
30.50
27.75
Total
100
100
100
100
100
100
Conclusions
• SPE generates more improvement than degradation
• Three fold for Japanese; Six fold for Chinese
• Linguistic changes vary between ZH and JA
• SPE changes are generally limited to word level
• SPE improves fluency, adequacy, and shortens PE time
Questions?
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