Interpreting Technologies - Current and Future Trends

Name: Interpreting Technologies - Current and Future Trends
Brand: John Benjamins Publishing Company
Price: 108.99 EUR
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Corpas Pastor Gloria Corpas Pastor Defrancq Bart Defrancq(Herausgeber*in)

John Benjamins Publishing Company

1. Auflage

Erschienen am 9. Oktober 2023

331 Seiten

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Intro
Interpreting Technologies - Current and Future Trends
Editorial page
Title page
Copyright page
Table of contents
Credit
Introduction
References
Chapter 1 Using smartpens and digital pens in interpreter training and interpreting research
1. Introduction
2. The evolution of digital pen technology
3. The use of digital pen and smartpens in interpreter training
3.1 Reported pedagogical initiatives undertaken in the consecutive interpreting classroom
3.2 Promoting the pedagogical use of digital pens and smartpens further
4. The use of smartpens and digital pens in interpreting research
4.1 Cognitive processes in note-taking
4.2 Digital pen technology and simultaneous-consecutive
5. Equipment used and available technology
5.1 Equipment used in interpreting studies
5.2 Currently available technology and equipment
6. Conclusion
References
Chapter 2 Tablet interpreting
1. Background and history of tablet interpreting
2. Use of tablets for preparation
3. Use of tablets for consecutive interpreting
4. Use of tablets for simultaneous interpreting
5. Use of tablets for simultaneous consecutive interpreting and sight consecutive hybrid modalities
6. Use of tablets for business productivity
7. Use of tablets in teaching interpreting
8. Shortcomings and strengths of tablets in interpreting
9. Gaps in tablet interpreting research
10. Future directions for tablet interpreting research
References
Chapter 3 Towards AI-enhanced computer-assisted interpreting
1. Introduction
2. Interpreting workflow and CAI tools
2.1 Preparation
2.2 In-process
2.3 Post-event
3. History of computer-assited interpreting tools
3.1 First-generation
3.2 Second-generation
3.3 Third-generation
4. Language technologies and artificial intelligence
4.1 Artificial intelligence and machine learning
4.2 Natural language processing, understanding and generation
4.3 Automatic speech recogintion
4.4 Machine translation
4.5 Machine interpreting
4.6 Summarisation
5. AI-enhanced CAI tools
5.1 Automatic glossary creation
5.1.1 Corpus creation
5.1.2 Term extraction
5.1.3 Term translation
5.1.4 Glossary review
5.2 Artificial boothmate
5.3 Artificial notepad
5.4 Underexplored use of AI
6. Interpreter management systems
7. Ehtics of AI use in interpreting
8. Conclusions
References
Chapter 4 'I am his extension in the courtroom'
1. Introduction
2. Design of the study and methodological approach
2.1 Selection of the fieldwork locations
2.2 Participant recruitment
2.3 Observations
2.4 Interviews
2.5 Data analysis
3. VMI-related challenges and interpreters' mitigation strategies
3.1 Technological aspects
3.2 Visual ecology
3.3 Social presence and alienation
3.4 Scheduling and pace of the hearings
3.5 Effectiveness of the communication
3.6 Modes of interpreting in VMI
3.6.1 Use of simultaneous mode
3.6.2 Use of consecutive mode
3.6.3 Macro-strategies
4. Aspects that compensate for VMI-related challenges
4.1 Visibility of defendant's reactions
4.2 Length and complexity of the hearings
4.3 Familiarity with the type of hearing
5. Positive aspects of VMI
6. Conclusion
References
Chapter 5 Public service interpreters' perceptions and acceptance of remote interpreting technologies in times of a pandemic
1. Introduction
2. Related studies
3. Research questions and methodology
3.1 Scope of the study
3.2 Questionnaire preparation
3.3 Questionnaire distribution
4. Results
4.1 Demographic and professional profile
4.2 RIT use
4.2.1 User percentage and tools
4.2.2 Impact of COVID-19 pandemic on RIT use
4.2.3 Frequency of use
4.2.4 Fields of expertise and RIT use
4.2.5 Reasons for not using RIT
4.3 RIT acceptance
4.3.1 Perceived usefulness
4.3.1.1 OPI
4.3.1.2 VRI
4.3.1.3 RSI
4.3.2 Perceived ease of use
4.3.2.1 OPI
4.3.2.2 VRI
4.3.2.3 RSI
4.3.4 Behavioral intention
4.4 Participants' comments
5. Discussion
5.1 RIT use and impact of COVID 19
5.2 RIT use and fields of expertise
5.3 Reasons for not using RIT
5.4 RIT acceptance
6. Conclusion
7. Limitations and further research
References
Appendix 1. Geographical distribution of respondents' professional activities
Appendix 2. Overview of respondents' working language
Chapter 6 Investigating the use of technology in the interpreting profession
1. Introduction
1.1 The history of technology and interpreting
1.2 An overview of interpreting technologies
1.2.1 Technology for rendering interpreting services
1.2.2 Technology to aid an interpreter's performance
1.2.2.1 Computer-assisted interpreting (CAI) tools
1.2.2.2 Tablet interpreting
1.2.2.3 Digital pens
1.2.2.4 Terminology management systems
2. Method
2.1 Participants
2.2 Questionnaire
3. Results
3.1 Demographical information of the participants
3.2 Interpreters' access to technology
3.3 Technology used in the preparation phase of the interpreting process
3.3.1 Paperless preparation
3.3.2 Technological tools used most frequently in preparation
3.4 Technology used during the interpreting process
3.5 Interpreters' concerns about the use of technology during interpreting
3.5.1 Divided attention
3.5.1.1 Time consuming
3.5.1.2 Distraction
3.5.1.3 Lose focus / concentration
3.5.1.4 Attention
3.5.1.5 Interfere
3.5.2 Reliable access to internet
3.5.3 Device failure and flat batteries
3.5.4 Professional image and competence of interpreter
3.5.5 Accuracy
3.5.6 Lack of knowledge / training
3.5.7 Physical environment
3.5.8 Confidentiality issues
3.5.9 Reliance on technology
3.5.10 Poor sound quality
3.6 The value of specific technological skills
3.6.1 Value of tablet interpreting
3.6.2 Value of digital smart pen note taking
3.6.3 Value of terminology management systems
3.6.4 Value of video remote interpreting
3.6.5 Value of telephone interpreting
3.6.6 Value of use of online dictionaries
4. Discussion
4.1 Do interpreters have access to technology?
4.2 What tools do interpreters use in preparation for an interpreting assignment?
4.3 Are interpreters' still hesitant to use technology?
4.4 What is the interpreters' preference when encountering a challenge with terminology?
4.5 What tools are used most frequently during interpreting?
4.6 What are interpreters' concerns when it comes to the use of technology during interpreting?
4.6.1 The concern regarding divided attention when using technology during interpretation
4.7 Difference and similarities in the use of technology in interpreting in Global South and Global North
5. Conclusion
References
Chapter 7 Videoconference interpreting goes multimodal
1. Introduction
2. Multimedia and multimodal human interaction
2.1 Meeting content analysis
2.2 Multimodal human interaction analysis
3. Technologies for meeting data capture
3.1 Microphone arrays
3.2 Speech recognition and speaker diarisation
3.2.1 Speech recognition
3.2.2 Speaker diarisation
3.3 Keyword spotting
3.4 Summarisation
3.5 Computerised translation
3.6 Face and gesture recognition
3.7 Conversation dynamics
4. Some suggestions and concluding remarks
Funding
References
Chapter 8 Embedding, extending, and distributing interpreter cognition with technology
1. Introduction
2. Opening the black box of interpreter cognition
3. Embodied and embedded cognition
4. Extended cognition
5. Distributed cognition
6. Open questions and future directions
References
Chapter 9 Conference interpreting and technology
1. Introduction
2. Public sector innovation and technology
2.1 Public sector innovation
2.2 The two faces of technology
3. Technology supporting multilingualism
3.1 Booth technology
3.2 Technology for the provision of interpreting
4. Approaching the future of interpreting and technology
4.1 Digital transformation
4.2 Opportunities and threats
4.3 Further afield
5. Conclusion
References
Chapter 10 Automatic speech translation in the classroom and lecture setting
1. Introduction
2. The educational setting
2.1 The dilemma and the magnitude of the problem
2.2 Studies and motivations
3. Speech translation technology
3.1 History of speech translation
3.2 The architecture of speech translation systems
3.3 The individual components
3.4 How quality is measured
3.5 Technological progress
4. Speech translation in the schools
4.1 Chinook middle school
4.2 Karlsruhe institut für technologie (KIT)
5. Challenges and future directions
5.1 In the schools
5.2 Technical challenges
5.3 Potential impacts on the interpretation industry
5.4 Conclusion
References
Chapter 11 Where is it all going? Technology, economic pressures and the future of interpreting
1. Introduction
2. Some basic premises
3. A brief map of the technological terrain
4. Understanding economic forces in interpreting
5. Interpreting as organisational performance
6. Realigning discourse and action for a complex future
6.1 From viewing AST and human translation as rivals to viewing them as complimentary means of providing language access
6.2 From viewing human interpreting as a legally protected service to ensuring it is available, scalable and valuable
6.3 Interpreters as machines to interpreters as partners
7. Conclusion
Where do we go? Where do we go now?
References
Chapter 12 Technology in interpreter education and training
1. Introduction
2. Interpreting technology and the role of universities
3. Technology in competence models and training programmes for interpreters
3.1 Knowledge
3.2 Skills
3.3 Personal and social abilities
3.4 Methodological abilities
4. Concluding remarks
References
Index

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