Dear Zenobia-MSFT
- Does this problem occur when you create or open a small document?
for small document, it is ok. but microsoft office 365 can not deal with large tables. it is a drawback.
2, When did this problem start to occur?
It occurs whenever I edit big table in word document in office 365.
3 please change the following text (please add to more than 50,000 words) into table in the word document, then you can try to add several column on the right or move the vertical line to adjust the width of the column. you will find the problem . very slow.
you can also email me : e**********@outlook.com. I will send you the table in word document .

Outline for "Increasing Translation Efficiency"
Outline for "Increasing Translation Efficiency"
Introduction
Introduction
Define translation efficiency
Define translation efficiency
Importance of translation in global communication
Importance of translation in global communication
Overview of challenges in translation
Overview of challenges in translation
Chapter 1: Understanding Translation Needs
Chapter 1: Understanding Translation Needs
Assessing the scope of translation projects
Assessing the scope of translation projects
Identifying target audience and languages
Identifying target audience and languages
Establishing clear objectives
Establishing clear objectives
Chapter2: Human Translation vs. Machine Translation
Chapter2: Human Translation vs. Machine Translation
Advantages and limitations of human translation
Advantages and limitations of human translation
Advantages and limitations of machine translation
Advantages and limitations of machine translation
When to use each for maximum efficiency
When to use each for maximum efficiency
Chapter3: Leveraging Translation Technology
Chapter3: Leveraging Translation Technology
Overview of CAT (Computer-Assisted Translation) tools
Overview of CAT (Computer-Assisted Translation) tools
Translation memory systems
Translation memory systems
Terminology management
Terminology management
Chapter 4: Machine Translation Advancements
Chapter 4: Machine Translation Advancements
Neural machine translation (NMT)
Neural machine translation (NMT)
Adaptive machine translation
Adaptive machine translation
Post-editing machine translation
Post-editing machine translation
Chapter 5: Process Optimization
Chapter 5: Process Optimization
Standardizing translation workflows
Standardizing translation workflows
Integrating project management techniques
Integrating project management techniques
Time management strategies for translators
Time management strategies for translators
Chapter 6: Quality Assurance
Chapter 6: Quality Assurance
Implementing QA checks in the translation process
Implementing QA checks in the translation process
Automated vs. manual quality assurance methods
Automated vs. manual quality assurance methods
Continuous improvement practices
Continuous improvement practices
Chapter 7: Professional Development for Translators
Chapter 7: Professional Development for Translators
Training and certification for translators
Training and certification for translators
Specialization in various fields of translation
Specialization in various fields of translation
Staying updated with language and industry trends
Staying updated with language and industry trends
Chapter 8: Collaboration and Communication
Chapter 8: Collaboration and Communication
Effective communication within translation teams
Effective communication within translation teams
Collaborative platforms and tools
Collaborative platforms and tools
Cross-cultural considerations in team collaboration
Cross-cultural considerations in team collaboration
Chapter 9: Legal and Ethical Considerations
Chapter 9: Legal and Ethical Considerations
Understanding copyright and intellectual property laws in translation
Understanding copyright and intellectual property laws in translation
Ethical issues in translation and localization
Ethical issues in translation and localization
Confidentiality and data security
Confidentiality and data security
Chapter 10: Future Trends and Innovations
Chapter 10: Future Trends and Innovations
The role of artificial intelligence in translation
The role of artificial intelligence in translation
The impact of blockchain on translation services
The impact of blockchain on translation services
Anticipating future challenges and opportunities
Anticipating future challenges and opportunities
Conclusion
Conclusion
Summarizing key points for increasing translation efficiency
Summarizing key points for increasing translation efficiency
Call to action for continuous learning and adaptation
Call to action for continuous learning and adaptation
Final thoughts on the evolution of the translation industry
Final thoughts on the evolution of the translation industry
Expanding the Outline into a Document
Expanding the Outline into a Document
To expand this outline into a full-fledged document, you would need to delve into each topic with research, case studies, expert opinions, and examples. Here are some tips for fleshing out each section:
To expand this outline into a full-fledged document, you would need to delve into each topic with research, case studies, expert opinions, and examples. Here are some tips for fleshing out each section:
Introduction: Set the stage with statistics about the translation industry, anecdotes, or a brief historical perspective.
Introduction: Set the stage with statistics about the translation industry, anecdotes, or a brief historical perspective.
Understanding Translation Needs: Conduct interviews with industry professionals or include case studies that highlight different needs.
Understanding Translation Needs: Conduct interviews with industry professionals or include case studies that highlight different needs.
Human Translation vs. Machine Translation: Compare specific examples where each has been used successfully.
Human Translation vs. Machine Translation: Compare specific examples where each has been used successfully.
Leveraging Translation Technology: Provide a deep dive into different CAT tools with tutorials or guides.
Leveraging Translation Technology: Provide a deep dive into different CAT tools with tutorials or guides.
Machine Translation Advancements: Offer insights into recent developments in NMT and its impact on the industry.
Machine Translation Advancements: Offer insights into recent developments in NMT and its impact on the industry.
Process Optimization: Include templates or frameworks for workflow standardization.
Process Optimization: Include templates or frameworks for workflow standardization.
Quality Assurance: Develop checklists or guidelines for ensuring quality in translations.
Quality Assurance: Develop checklists or guidelines for ensuring quality in translations.
Professional Development for Translators: List resources for training and development, including institutions and online courses.
Professional Development for Translators: List resources for training and development, including institutions and online courses.
Collaboration and Communication: Explore case studies of successful collaborative projects.
Collaboration and Communication: Explore case studies of successful collaborative projects.
Legal and Ethical Considerations: Discuss landmark cases or legal precedents that have shaped the industry.
Legal and Ethical Considerations: Discuss landmark cases or legal precedents that have shaped the industry.
Future Trends and Innovations: Speculate on future developments based on current research or interviews with academics.
Future Trends and Innovations: Speculate on future developments based on current research or interviews with academics.
Conclusion: Tie everything together with a compelling narrative that encourages action and reflection.
Conclusion: Tie everything together with a compelling narrative that encourages action and reflection.
By expanding each section with detailed information, analysis, examples, and references, you can work your way towards a comprehensive document that covers how to increase translation efficiency effectively. Remember to cite all sources correctly and to ensure that your content is original and informative.
By expanding each section with detailed information, analysis, examples, and references, you can work your way towards a comprehensive document that covers how to increase translation efficiency effectively. Remember to cite all sources correctly and to ensure that your content is original and informative.
Tina Paulsen Christensen, Marian Flanagan & Anne Schjoldager*
Tina Paulsen Christensen, Marian Flanagan & Anne Schjoldager*
Mapping Translation Technology Research in Translation Studies. An Introduction to the Thematic Section
Mapping Translation Technology Research in Translation Studies. An Introduction to the Thematic Section
1. Introduction
1. Introduction
Nowadays translation is all around us, and our globalised world would probably not function without it (Taravella/Villeneuve 2013). In 2016, the annual study of the translation industry by the Common Sense Advisory proclaimed that the demand for language services is constantly growing (DePalma et al. 2016). In order to fulfil this demand, for several decades language service pro- viders (LSPs) have implemented increasingly advanced translation technology to optimise trans- lators’ productivity (Taravella/Villeneuve 2013: 62). The adoption of technology in the language industry was initiated when information and communication technology (ICT) was first launched, but it was the internet and its usage as a communication and collaboration tool that accelerated the uptake of translation technology in the 1990s. As emphasised by Alonso/Calvo (2015: 136), the adoption of technology has affected all types of human activities, but perhaps the effect has been most dramatic in the field of translation, whose processes of decoding and coding from one language to another appear to be easily aided or even taken over by computers. In addition, trans- lation technology is no longer used exclusively by professional translators; now it is also used by many non-translators, who take advantage of free online machine translation (MT)1 engines to help them understand and produce texts in foreign languages. Thus, for instance, in 2016, Goo- gle Translate machine translated an average of 143 billion words a day in 100 language combina- tions (Lumeras/Way this issue). Consequently, translation technology is now so much an integrat- ed part of all our lives that it could be described as everyware, a term coined by Cronin (2010).
Nowadays translation is all around us, and our globalised world would probably not function without it (Taravella/Villeneuve 2013). In 2016, the annual study of the translation industry by the Common Sense Advisory proclaimed that the demand for language services is constantly growing (DePalma et al. 2016). In order to fulfil this demand, for several decades language service pro- viders (LSPs) have implemented increasingly advanced translation technology to optimise trans- lators’ productivity (Taravella/Villeneuve 2013: 62). The adoption of technology in the language industry was initiated when information and communication technology (ICT) was first launched, but it was the internet and its usage as a communication and collaboration tool that accelerated the uptake of translation technology in the 1990s. As emphasised by Alonso/Calvo (2015: 136), the adoption of technology has affected all types of human activities, but perhaps the effect has been most dramatic in the field of translation, whose processes of decoding and coding from one language to another appear to be easily aided or even taken over by computers. In addition, trans- lation technology is no longer used exclusively by professional translators; now it is also used by many non-translators, who take advantage of free online machine translation (MT)1 engines to help them understand and produce texts in foreign languages. Thus, for instance, in 2016, Goo- gle Translate machine translated an average of 143 billion words a day in 100 language combina- tions (Lumeras/Way this issue). Consequently, translation technology is now so much an integrat- ed part of all our lives that it could be described as everyware, a term coined by Cronin (2010).
Due to the growing uptake of translation technology in the language industry and its docu- mented impact on the translation profession, translation students and scholars need in-depth and empirically founded knowledge of the nature and influences of translation technology (e.g. Chris- tensen/Schjoldager 2010, 2011; Christensen 2011). Unfortunately, the increasing professional use of translation technology has not been mirrored within translation studies (TS) by a similar in- crease in research projects on translation technology (Munday 2009: 15; O’Hagan 2013; Doherty 2016: 952). The current thematic section aims to improve this situation by presenting new and innovative research papers that reflect on recent technological advances and their impact on the translation profession and translators from a diversity of perspectives and using a variety of meth- ods.
Due to the growing uptake of translation technology in the language industry and its docu- mented impact on the translation profession, translation students and scholars need in-depth and empirically founded knowledge of the nature and influences of translation technology (e.g. Chris- tensen/Schjoldager 2010, 2011; Christensen 2011). Unfortunately, the increasing professional use of translation technology has not been mirrored within translation studies (TS) by a similar in- crease in research projects on translation technology (Munday 2009: 15; O’Hagan 2013; Doherty 2016: 952). The current thematic section aims to improve this situation by presenting new and innovative research papers that reflect on recent technological advances and their impact on the translation profession and translators from a diversity of perspectives and using a variety of meth- ods.