Chapter 6. Recognition and characterization of translator attributes using sequences of fixations and keystrokes
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Pascual Martínez-Gómez
, Dan Han , Michael Carl and Akiko Aizawa
Abstract
As the demand for high quality translation continues to increase, there is a growing interest in developing effective computer-assisted tools that support translators in their routines. However, the development of such tools requires a deeper understanding of the translation process that allows us to identify the motoric, perceptual and cognitive bottlenecks of the task. With the ubiquitous presence of computers and logging software, researchers could record the keystrokes of translators, which allowed us to analyze the motor activities of text production. However, the translation process is much more complex and keystroke logging can only capture a marginal fraction of the perceptual and cognitive activities of translators, which are often the source of most translation effort. In recent years, eye-tracking devices became more affordable and they were integrated in our logging interfaces, thus giving us access to both eye-movement and keystroke events during a translation session. Here we present a framework where we use keystrokes and eye movements as low-level measurements of translation behavior. These measurements are then interpreted as sequences of higher-level activities that we use to create interpretable models of translation. The parameters of these models are estimated with the objective to maximize the recognition accuracy of several translator personal attributes given measurements of their translation behavior. These classifier models can then be queried with the purpose to retrieve the most characterizing features of translators that distinguish a certain target personal attribute. In this chapter we formalize this framework, show its effectiveness in a real task and point the reader towards possible extensions of this work.
Abstract
As the demand for high quality translation continues to increase, there is a growing interest in developing effective computer-assisted tools that support translators in their routines. However, the development of such tools requires a deeper understanding of the translation process that allows us to identify the motoric, perceptual and cognitive bottlenecks of the task. With the ubiquitous presence of computers and logging software, researchers could record the keystrokes of translators, which allowed us to analyze the motor activities of text production. However, the translation process is much more complex and keystroke logging can only capture a marginal fraction of the perceptual and cognitive activities of translators, which are often the source of most translation effort. In recent years, eye-tracking devices became more affordable and they were integrated in our logging interfaces, thus giving us access to both eye-movement and keystroke events during a translation session. Here we present a framework where we use keystrokes and eye movements as low-level measurements of translation behavior. These measurements are then interpreted as sequences of higher-level activities that we use to create interpretable models of translation. The parameters of these models are estimated with the objective to maximize the recognition accuracy of several translator personal attributes given measurements of their translation behavior. These classifier models can then be queried with the purpose to retrieve the most characterizing features of translators that distinguish a certain target personal attribute. In this chapter we formalize this framework, show its effectiveness in a real task and point the reader towards possible extensions of this work.
Chapters in this book
- Prelim pages i
- Table of contents v
- Chapter 1. Introduction 1
- Chapter 2. A mapping exercise 11
-
Part I. Method
- Chapter 3. Overcoming methodological challenges of eye tracking in the translation workplace 33
- Chapter 4. Eye tracking as a measure of cognitive effort for post-editing of machine translation 55
- Chapter 5. Analysing variable relationships and time-course data in eye-tracking studies of translation processes and products 71
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Part II. Process
- Chapter 6. Recognition and characterization of translator attributes using sequences of fixations and keystrokes 97
- Chapter 7. Problem solving in the translation of linguistic metaphors from Chinese into Portuguese 121
- Chapter 8. Working styles of student translators in self-revision, other-revision and post-editing 145
- Chapter 9. Visual attention distribution in intralingual respeaking 185
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Part III. Product
- Chapter 10. Subtitling of British stand-up comedy into Italian 205
- Chapter 11. Towards a quantitative measurement of equivalent effect and a tentative conceptualisation of cognitive equivalence 225
- Chapter 12. The impact of AVT mode on audience reception 259
- List of abbreviations 287
- Contributors 289
- Subject index 293
Chapters in this book
- Prelim pages i
- Table of contents v
- Chapter 1. Introduction 1
- Chapter 2. A mapping exercise 11
-
Part I. Method
- Chapter 3. Overcoming methodological challenges of eye tracking in the translation workplace 33
- Chapter 4. Eye tracking as a measure of cognitive effort for post-editing of machine translation 55
- Chapter 5. Analysing variable relationships and time-course data in eye-tracking studies of translation processes and products 71
-
Part II. Process
- Chapter 6. Recognition and characterization of translator attributes using sequences of fixations and keystrokes 97
- Chapter 7. Problem solving in the translation of linguistic metaphors from Chinese into Portuguese 121
- Chapter 8. Working styles of student translators in self-revision, other-revision and post-editing 145
- Chapter 9. Visual attention distribution in intralingual respeaking 185
-
Part III. Product
- Chapter 10. Subtitling of British stand-up comedy into Italian 205
- Chapter 11. Towards a quantitative measurement of equivalent effect and a tentative conceptualisation of cognitive equivalence 225
- Chapter 12. The impact of AVT mode on audience reception 259
- List of abbreviations 287
- Contributors 289
- Subject index 293