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Yongpeng WEI
2016.04.25
TAUS Executive Forum Beijing 2016
Services
• Translation Technology
• Corpus / Term-base Construction
• Vertical MT Training
• On-line CAT Customization
• Translation (MTPE) Service
• MTPE production
• MTPE training
Markets
• Intellectual Properties
• Cross-border E-Commerce
• Internet Finance
• …
Machine Translation:
• Hybrid of statistical approaches and linguistic knowledge
• Neural Machine Translation
• Knowledge Graphs
• …
Human Translation:
• Crowd sourcing
• Data sharing
• Workflow automation
• Writing for Translation
• …
Easier
Entry
• Lower requirement
for domain
knowledge
• Lower cost of
learning and self-
improvement for
translators
Higher
Efficiency
• Speed-up search
and verification
process
• Reduce repetitions
• Reduce typing time
• Reduce elementary
mistakes
More Scalable
Management
• Unify workflow
• Increase
standardization
Zhang 23 Libra
Student
Major in English
Q: How long have you taken part in MTPE project?
A: Two months.
Q: What do you think MTPE is different from common
translation?
A: Efficiency has been improved in significant
measure(from 500 words/h to 750-1000 words/h). It has also
shaped my translation style and thinking mode.
However, if the MT result and the terms could not be
easily confirmed by the translator, he/she need more other
resources to verify the translation, then the process looks
like common translation.
Q:Recent monthly income?
A:3500 Yuan (As an intern)
Sun 24 Aquarius
Full-time
Major in Japanese
Q: How long have you taken part in MTPE project?
A: Five months.
Q: What do you think MTPE is different from common
translation?
A: I think it is easier to start. Some sentences are hard to
understand and organize. MT gives helpful clues for me.
Q:Recent monthly income?
A:About 10000 Yuan (As an in-house translator).
Han 25 Aries
Part-time
Major in Japanese
Q: How long have you taken part in MTPE project?
A: Nearly one year (part-time).
Q: What do you think MTPE is different from common
translation?
A: The translation system and the term base are powerful.
For some of the MT results, you need only to adjust the
word orders. It largely increases the efficiency, as well as
the accuracy.
Q:Recent monthly income?
A:About 9000 Yuan (As a part-time translator).
 1) MT is useful (in PE production), for
◦ Efficiency
◦ Quality
◦ Scalability
 2) Confidence is the key, so vertical MT training is a must
◦ Domain specific
◦ Find out the reliable parts (Training needed for translators)
 3) Terminology plays an important role
◦ Pre-translating: extract & check
◦ On-translating: applied into MT
◦ Post-translating: collection for future use
Terms
Annotation
Applied into
MT results
 1. Monolingual Term Extract
◦ MT used for: Term translation (in the context)
◦ MT used for: Term recognition ( EBMT-based)
 2. Bilingual Term Extract
◦ MT used for: Word/Phrase Alignment
◦ Term extracted for: reference term pairs (pre-trans)
◦ Term extracted for: term pairs collection (post-trans)
 1. For Clients: CLIR for Database (e.g. patents)
◦ MT used for: large volume of documents in the DB
◦ Accuracy of Keywords(Terminologies)
◦ Document similarity
 2. For Translators: Find reference documents (in target
language)
◦ MT used for: document to be translated
◦ Sentence similarity
◦ Document similarity
 Lower deploying threshold
◦ Affordable computing capability (esp. for Neural MT)
◦ Less corpus requirement
◦ Acknowledged Quality Metrics
 Involving deeper knowledge base
◦ Terminology is the first step
◦ Knowledge Graph
 More interactive
◦ Real-time interactions (e.g. Input Method)
◦ Feedback from end-users
◦ Dynamic user behaviors
Thank you!
Contact me:weiyongpeng@lingosail.com

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MT Use in Lingosail, by Yongpeng Wei, Lingosail

  • 2. Services • Translation Technology • Corpus / Term-base Construction • Vertical MT Training • On-line CAT Customization • Translation (MTPE) Service • MTPE production • MTPE training Markets • Intellectual Properties • Cross-border E-Commerce • Internet Finance • …
  • 3. Machine Translation: • Hybrid of statistical approaches and linguistic knowledge • Neural Machine Translation • Knowledge Graphs • … Human Translation: • Crowd sourcing • Data sharing • Workflow automation • Writing for Translation • …
  • 4. Easier Entry • Lower requirement for domain knowledge • Lower cost of learning and self- improvement for translators Higher Efficiency • Speed-up search and verification process • Reduce repetitions • Reduce typing time • Reduce elementary mistakes More Scalable Management • Unify workflow • Increase standardization
  • 5. Zhang 23 Libra Student Major in English Q: How long have you taken part in MTPE project? A: Two months. Q: What do you think MTPE is different from common translation? A: Efficiency has been improved in significant measure(from 500 words/h to 750-1000 words/h). It has also shaped my translation style and thinking mode. However, if the MT result and the terms could not be easily confirmed by the translator, he/she need more other resources to verify the translation, then the process looks like common translation. Q:Recent monthly income? A:3500 Yuan (As an intern)
  • 6. Sun 24 Aquarius Full-time Major in Japanese Q: How long have you taken part in MTPE project? A: Five months. Q: What do you think MTPE is different from common translation? A: I think it is easier to start. Some sentences are hard to understand and organize. MT gives helpful clues for me. Q:Recent monthly income? A:About 10000 Yuan (As an in-house translator).
  • 7. Han 25 Aries Part-time Major in Japanese Q: How long have you taken part in MTPE project? A: Nearly one year (part-time). Q: What do you think MTPE is different from common translation? A: The translation system and the term base are powerful. For some of the MT results, you need only to adjust the word orders. It largely increases the efficiency, as well as the accuracy. Q:Recent monthly income? A:About 9000 Yuan (As a part-time translator).
  • 8.  1) MT is useful (in PE production), for ◦ Efficiency ◦ Quality ◦ Scalability  2) Confidence is the key, so vertical MT training is a must ◦ Domain specific ◦ Find out the reliable parts (Training needed for translators)  3) Terminology plays an important role ◦ Pre-translating: extract & check ◦ On-translating: applied into MT ◦ Post-translating: collection for future use
  • 10.  1. Monolingual Term Extract ◦ MT used for: Term translation (in the context) ◦ MT used for: Term recognition ( EBMT-based)
  • 11.  2. Bilingual Term Extract ◦ MT used for: Word/Phrase Alignment ◦ Term extracted for: reference term pairs (pre-trans) ◦ Term extracted for: term pairs collection (post-trans)
  • 12.  1. For Clients: CLIR for Database (e.g. patents) ◦ MT used for: large volume of documents in the DB ◦ Accuracy of Keywords(Terminologies) ◦ Document similarity  2. For Translators: Find reference documents (in target language) ◦ MT used for: document to be translated ◦ Sentence similarity ◦ Document similarity
  • 13.  Lower deploying threshold ◦ Affordable computing capability (esp. for Neural MT) ◦ Less corpus requirement ◦ Acknowledged Quality Metrics  Involving deeper knowledge base ◦ Terminology is the first step ◦ Knowledge Graph  More interactive ◦ Real-time interactions (e.g. Input Method) ◦ Feedback from end-users ◦ Dynamic user behaviors