Masaru Yamada
Biographic Data
| ID | 6937775 |
|---|---|
| NAME | Masaru Yamada |
| GIVEN NAMES | Masaru |
| FAMILY NAME | Yamada |
| SIGNATURE | YAMADA M |
| AFFILIATIONS | Rikkyo University |
| ORCID | 0000-0002-7490-5414 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Prompting for growth
The rapid development of generative artificial intelligence (GenAI) has introduced new opportunities for interpreter education, particularly in creating interactive, adaptive and personalized learning environments. This study investigated how undergraduate students taking a Chinese-to-English consecutive interpreting course (with English as their B language) engaged strategically with a customized GenAI assistant over eight weeks. Drawing on more…
Hesitation, orientation, and flow
Numerous models have been proposed to describe and predict how human translations evolve in time. Some of these models suggest hierarchically embedded processes of fast and slow processing that unfold on different timelines. However, the assumed mental processes have often been conceptualized without a clear description of how they can be assessed, measured or retrieved in behavioral data. Other approaches suggest fragmenting behavioral data into…
Introduction to the special Ampersand issue on Empirical Translation Process Research
Linear vs. non-linear translation in parallel text reading
This study investigated the effect of differences between linear and non-linear translations on reading behavior in a situation where both the source and target texts were presented for revision. Linear translations, which are relatively close to the source text in word order (with a low cross value), and non-linear translations, which are relatively remote (with a high cross value), were created. An experiment was conducted in which participants…
Social groups in machine translationpost-editing
We analysed focus group interview data collected from 22 project managers (PMs) working in Japan, covering their experiences of machine translation post-editing (MTPE). A Social Construction of Technology analysis of how PMs describe different social groups in translation enabled us to examine the meanings those groups attach to MTPE, the intricate and complex power structures which exist between them, and the negotiations that take place in thei…
Shan (Goodness) and Revolution
In local societies of Sichuan, charities lead by local leaders were prevalent in the late Qing Period, right before the 1911 Revolution. The idea behind these charities was that the world was facing a fatal crisis for too many misdeeds committed by human beings, and the only way to rectify them and save the world was to accumulate good deeds. Some local elites who played leading roles during the 1911 Revolution in the Sichuan local societies were…
No prominent works on this page.
Shan (Goodness) and Revolution
In local societies of Sichuan, charities lead by local leaders were prevalent in the late Qing Period, right before the 1911 Revolution. The idea behind these charities was that the world was facing a fatal crisis for too many misdeeds committed by human beings, and the only way to rectify them and save the world was to accumulate good deeds. Some local elites who played leading roles during the 1911 Revolution in the Sichuan local societies were…
Social groups in machine translationpost-editing
We analysed focus group interview data collected from 22 project managers (PMs) working in Japan, covering their experiences of machine translation post-editing (MTPE). A Social Construction of Technology analysis of how PMs describe different social groups in translation enabled us to examine the meanings those groups attach to MTPE, the intricate and complex power structures which exist between them, and the negotiations that take place in thei…
Linear vs. non-linear translation in parallel text reading
This study investigated the effect of differences between linear and non-linear translations on reading behavior in a situation where both the source and target texts were presented for revision. Linear translations, which are relatively close to the source text in word order (with a low cross value), and non-linear translations, which are relatively remote (with a high cross value), were created. An experiment was conducted in which participants…
Hesitation, orientation, and flow
Numerous models have been proposed to describe and predict how human translations evolve in time. Some of these models suggest hierarchically embedded processes of fast and slow processing that unfold on different timelines. However, the assumed mental processes have often been conceptualized without a clear description of how they can be assessed, measured or retrieved in behavioral data. Other approaches suggest fragmenting behavioral data into…
Introduction to the special Ampersand issue on Empirical Translation Process Research
Prompting for growth
The rapid development of generative artificial intelligence (GenAI) has introduced new opportunities for interpreter education, particularly in creating interactive, adaptive and personalized learning environments. This study investigated how undergraduate students taking a Chinese-to-English consecutive interpreting course (with English as their B language) engaged strategically with a customized GenAI assistant over eight weeks. Drawing on more…
Computer Science (4 works) · Artificial Intelligence (3 works) · Biology (2 works) · Linguistics (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Sociology (2 works) · Text Readability and Simplification (2 works) · Advanced Text Analysis Techniques (1 work) · Annotation (1 work)