Translating and Post-Editing in the Chinese-Portuguese Language Pair

Silva, Igor Antônio Lourenço da; Schmaltz, Márcia; Alves, Fábio; Pagano, Adriana; Wong, Derek F.; Chao, Lidia S.; Leal, Ana Luísa V.; Quaresma, Paulo; Garcia, Caio

doi:10.1075/ts.4.1.07sil

Cited by 5 publications

(10 citation statements)

References 7 publications

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“…Interestingly, the mean of MTPE deletions (98.00) was higher than that of RUT (88.31), but the difference was not significant (p=0.411). This finding is in accordance with and da Silva et al (2015). It reveals that, MTPE may require more deletions by translators to improve the neural MT output, but also that it still reduces insertion and total keystrokes and thus proves its ease of use.…”

Section: Typing Lengthsupporting

confidence: 90%

“…Second, fixation counts were also significantly lower in MTPE (p<0.01). Contrary to Screen (2017), who found that MTPE was not easier than RUT, the results confirm those by Carl, Gutermuth & Hansen-Schirra (2015), da Silva et al (2015), and Lu & Sun (2018), who also measured cognitive effort by fixation duration and fixation counts.…”

Section: Cognitive Effortsupporting

confidence: 84%

“…Since this study focuses on "general language" texts, our results support Daems (2017) and Lu & Sun (2018) but differ from da Silva (2017) and Jia, Carl & Wang (2019a), which found no significant difference between MTPE and RUT in text processing speed. The inconsistency with da Silva (2017) was probably due to the fact that the participants involved in his experiment were professional translators who had more related experience. On the other hand, the inconformity with Jia, Carl & Wang (2019a) might be explained by the difference in experimental design.…”

Section: Text Processing Speedsupporting

confidence: 67%

“…The allocation of cognitive resources on source texts and target texts during PE and RUT is quite different (Carl, Gutermuth & Hansen-Schirra 2015;Daems et al 2017). Based on source-text fixations' higher counts and longer timespans, Da Silva et al (2017) found that RUT was cognitively more effortful.…”

Section: Measurable Variablesmentioning

confidence: 99%

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Investigating usability in postediting neural machine translation: Evidence from translation trainees' self-perception and performance

Wang

Martín

et al. 2021

Acr

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This is a report on an empirical study on the usability for translation trainees of neural machine translation systems when post-editing (mtpe). Sixty Chinese translation trainees completed a questionnaire on their perceptions of mtpe's usability. Fifty of them later performed both a post-editing task and a regular translation task, designed to examine mtpe's usability by comparing their performance in terms of text processing speed, effort, and translation quality. Contrasting data collected by the questionnaire, keylogging, eyetracking and retrospective reports we found that, compared with regular, unaided translation, mtpe's usefulness in performance was remarkable: (1) it increased translation trainees' text processing speed and also improved their translation quality; (2) mtpe's ease of use in performance was partly proved in that it significantly reduced informants' effort as measured by (a) fixation duration and fixation counts; (b) total task time; and (c) the number of insertion keystrokes and total keystrokes. However, (3) translation trainees generally perceived mtpe to be useful to increase productivity, but they were skeptical about its use to improve quality. They were neutral towards the ease of use of mtpe.

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Section: Typing Lengthsupporting

confidence: 90%

Section: Cognitive Effortsupporting

confidence: 84%

Section: Text Processing Speedsupporting

confidence: 67%

Section: Measurable Variablesmentioning

confidence: 99%

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Investigating usability in postediting neural machine translation: Evidence from translation trainees' self-perception and performance

Wang

Martín

et al. 2021

Acr

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“…However, a more granular analysis performed by means of data triangulation employing the methods of eye-tracking, keylogging, and retrospection indicates that the results obtained by other measures, such as gaze time, total fixation durations, or revision rates (Fonseca, 2015;Pavlović & Jensen, 2009;Whyatt 2019), challenge the claim that L1-L2 translation is indeed more cognitively demanding than L2-L1 translation. Interestingly, da Silva et al (2017) and Whyatt (2019) reported that in the groups of professional translators, total task time was not found to be indicative of an increased cognitive effort regardless of translation direction, thus suggesting that both directions can be equally demanding for professional translators. Importantly, as the aforementioned studies were conducted using texts that varied in length, genres, and readability levels, the provided context might have influenced the obtained results.…”

mentioning

confidence: 99%

Novel metaphor translation is modulated by translation direction

Jankowiak

Lehka-Paul

2021

Applied Psycholinguistics

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Previous translation process research has pointed to an increased cognitive load when translating metaphoric compared to literal language. Yet, studies conducted thus far have not examined the role of translation direction (i.e., L1–L2 vs. L2–L1) in novel metaphor translation and have not tested whether and how this process might be modulated by the linguistic form of a novel meaning. In the present study, Polish (L1) – English (L2) translation students translated novel nominal metaphors (A is B), novel similes (A is like B), and literal sentences, in either L1–L2 or L2–L1 translation directions, while their translation behavior was recorded using a keystroke logging method. The results revealed longer translation durations for both metaphors and similes relative to literal utterances. Furthermore, we found slower translation times for novel nominal metaphors compared to novel similes and literal sentences, yet only in the L2–L1 translation direction. Such results might indicate that novel meaning translation is more cognitively taxing in the case of novel nominal metaphors, which require a more robust activation of comparison mechanisms, relative to novel similes. Importantly, this effect might be stronger when translating in the direction in which access to semantic representations is potentially more automatic (i.e., L2–L1 translation).

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Correlations of perceived post-editing effort with measurements of actual effort

Moorkens

O’Brien

Silva

et al. 2015

Machine Translation

Self Cite

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Human rating of predicted post-editing effort is a common activity and has been used to train confidence estimation models. However, the correlation between human ratings and actual post-editing effort is under-measured. Moreover, the impact of presenting effort indicators in a post-editing user interface on actual post-editing effort has hardly been researched. In this study, ratings of perceived post-editing effort are tested for correlations with actual temporal, technical and cognitive post-editing effort. In addition, the impact on post-editing effort of the presentation of post-editing effort indicators in the user interface is also tested. The language pair involved in this study is English-Brazilian Portuguese. Our findings, based on a small sample, suggest that there is little agreement between raters for predicted post-editing effort and that the correlations between actual post-editing effort and predicted effort are only moderate, and thus an inefficient basis for MT confidence estimation. Moreover, the presentation of post-editing effort indicators in the user interface appears not to impact on actual postediting effort.

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Translating and Post-Editing in the Chinese-Portuguese Language Pair

Cited by 5 publications

References 7 publications

Investigating usability in postediting neural machine translation: Evidence from translation trainees' self-perception and performance

Investigating usability in postediting neural machine translation: Evidence from translation trainees' self-perception and performance

Novel metaphor translation is modulated by translation direction

Correlations of perceived post-editing effort with measurements of actual effort

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