Developing a writing assistant to help EAP writers with collocations in real time
Research output: Contribution to journal › Article › peer-review
Standard Standard
In: ReCALL: Journal of the European Association for Computer Assisted Language Learning, 10.08.2018.
Research output: Contribution to journal › Article › peer-review
HarvardHarvard
APA
CBE
MLA
VancouverVancouver
Author
RIS
TY - JOUR
T1 - Developing a writing assistant to help EAP writers with collocations in real time
AU - Frankenberg-Garcia, Ana
AU - Lew, Robert
AU - Roberts, Jonathan C.
AU - Rees, Geraint
AU - Sharma, Nirwan
PY - 2018/8/10
Y1 - 2018/8/10
N2 - Corpora have given rise to a wide range of lexicographic resources aimed at helping novice users of academic English with their writing. This includes academic vocabulary lists, a variety of textbooks, and even a bespoke academic English dictionary. However, writers may not be familiar with these resources or may not be sufficiently aware of the lexical shortcomings of their emerging texts to trigger the need to use such help in the first place. Moreover, writers who have to stop writing to look up a word can be distracted from getting their ideas down on paper. The ColloCaid project aims to address this problem by integrating information on collocation with text editors. In this paper, we share the research underpinning the initial development of ColloCaid by detailing the rationale of (1) the lexicographic database we are compiling to support novice EAP users’ collocation needs and (2) the preliminary visualisation decisions taken to present information on collocation to EAP users without disrupting their writing. We conclude the paper by outlining the next steps in the research.
AB - Corpora have given rise to a wide range of lexicographic resources aimed at helping novice users of academic English with their writing. This includes academic vocabulary lists, a variety of textbooks, and even a bespoke academic English dictionary. However, writers may not be familiar with these resources or may not be sufficiently aware of the lexical shortcomings of their emerging texts to trigger the need to use such help in the first place. Moreover, writers who have to stop writing to look up a word can be distracted from getting their ideas down on paper. The ColloCaid project aims to address this problem by integrating information on collocation with text editors. In this paper, we share the research underpinning the initial development of ColloCaid by detailing the rationale of (1) the lexicographic database we are compiling to support novice EAP users’ collocation needs and (2) the preliminary visualisation decisions taken to present information on collocation to EAP users without disrupting their writing. We conclude the paper by outlining the next steps in the research.
KW - academic writing
KW - visualisation
KW - automatic feedback
KW - collocation
KW - corpora
KW - Lexicographic information
U2 - 10.1017/S0958344018000150
DO - 10.1017/S0958344018000150
M3 - Article
JO - ReCALL: Journal of the European Association for Computer Assisted Language Learning
JF - ReCALL: Journal of the European Association for Computer Assisted Language Learning
SN - 0958-3440
ER -