Authors:
Huolingxiao Kuang School of Modern Languages and Cultures, Durham University, Durham, England

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Binghan Zheng School of Modern Languages and Cultures, Durham University, Durham, England

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Abstract

This paper explores relationships between consecutive interpreting (CI) performance on the one hand, and interpreters' note-taking effort, note-taking product and note-reading effort, on the other hand. 20 professionals and 29 students consecutively interpreted two easy segments and two difficult segments in an English (L2) speech, with their eye fixations on the notes and handwriting on the digital pad being registered through eye-tracking and pen-recording methods. Both groups' CI performance showed positive but weak correlations with their note quantities in the easy segments, but not in the difficult ones. Almost no significant correlations were found between the students' interpretation quality and effort of note-taking, whereas the professionals' CI performance was negatively correlated with their cognitive effort of note-taking. Significant but weak correlations were observed in both groups between their note-reading effort and interpreting performance, but the students' correlations were mainly found in the difficult segments, and the professionals' correlations were mostly detected in the easy ones. Overall, the interpreters' note-taking behaviour was not closely associated with their interpretation quality, and the associations varied across interpreter groups and task difficulties. These findings suggest that note-taking should be taught more judiciously in interpreter training programs and applied more prudently in interpreting practice.

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2022  
Web of Science  
Total Cites
WoS
283
Journal Impact Factor 0.7
Rank by Impact Factor

Linguistics (Q3)

Impact Factor
without
Journal Self Cites
0.6
5 Year
Impact Factor
1.4
Journal Citation Indicator 0.66
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Linguistics (Q3)
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Scimago  
Scimago
H-index
20
Scimago
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0.796
Scimago Quartile Score

Linguistics and Language 67/1103 (Q1)

Scopus  
Scopus
Cite Score
1.6
Scopus
CIte Score Rank
Language and Linguistics 208/1001 (79th PCTL)
Linguistics and Language 243/1078 (77th PCTL)
Scopus
SNIP
0.868

2021  
Web of Science  
Total Cites
WoS
214
Journal Impact Factor 1,292
Rank by Impact Factor Linguistics 98/194
Impact Factor
without
Journal Self Cites
1,208
5 Year
Impact Factor
1,210
Journal Citation Indicator 0,85
Rank by Journal Citation Indicator Language & Linguistics 108/370
Linguistics 122/274
Scimago  
Scimago
H-index
19
Scimago
Journal Rank
0,994
Scimago Quartile Score Linguistics and Language 67/1103 (Q1)
Scopus  
Scopus
Cite Score
2,5
Scopus
CIte Score Rank
Language and Linguistics 121/968 (Q1, D2)
Linguistics and Language 128/1032 (Q1, D2)
Scopus
SNIP
1,576

2020  
Total Cites
WoS
169
Journal Impact Factor 1,160
Rank by Impact Factor

Linguistics 99/193 (Q3)
Languages & Linguistics 57/205 (Q2)

Impact Factor
without
Journal Self Cites
1,040
5 Year
Impact Factor
1,095
Journal Citation Indicator 1,01
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Linguistics 107/259 (Q2)
Language & Linguistics 94/356 (Q2)

Citable
Items
12
Total
Articles
12
Total
Reviews
0
Scimago
H-index
14
Scimago
Journal Rank
1,257
Scimago Quartile Score

Language and Linguistics Q1
Linguistics and Language Q1

Scopus
Cite Score
93/50=1,9

Scopus
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Language and Linguistics 130/879 (Q1)
Linguistics and Language 147/935 (Q1)
Scopus
SNIP
1,670

2019  
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91
Impact Factor 0,360
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0,320
5 Year
Impact Factor
0,500
Immediacy
Index
0,083
Citable
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12
Total
Articles
12
Total
Reviews
0
Cited
Half-Life
n/a
Citing
Half-Life
12,7
Eigenfactor
Score
0,00018
Article Influence
Score
0,234
% Articles
in
Citable Items
100,00
Normalized
Eigenfactor
0,02306
Average
IF
Percentile
20,053 (Q1)
Scimago
H-index
13
Scimago
Journal Rank
0,648
Scopus
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94/51=1,8
Scopus
Scite Score Rank
Language and Linguistics 120/830 (Q1)
Linguistics and Language 135/884 (Q1)
Scopus
SNIP
1.357

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