@inproceedings{herbig-etal-2020-mmpe-multi,
title = "{MMPE}: {A} {M}ulti-{M}odal {I}nterface using {H}andwriting, {T}ouch {R}eordering, and {S}peech {C}ommands for {P}ost-{E}diting {M}achine {T}ranslation",
author = {Herbig, Nico and
Pal, Santanu and
D{\"u}wel, Tim and
Meladaki, Kalliopi and
Monshizadeh, Mahsa and
Hnatovskiy, Vladislav and
Kr{\"u}ger, Antonio and
van Genabith, Josef},
editor = "Celikyilmaz, Asli and
Wen, Tsung-Hsien",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-demos.37/",
doi = "10.18653/v1/2020.acl-demos.37",
pages = "327--334",
abstract = "The shift from traditional translation to post-editing (PE) of machine-translated (MT) text can save time and reduce errors, but it also affects the design of translation interfaces, as the task changes from mainly generating text to correcting errors within otherwise helpful translation proposals. Since this paradigm shift offers potential for modalities other than mouse and keyboard, we present MMPE, the first prototype to combine traditional input modes with pen, touch, and speech modalities for PE of MT. Users can directly cross out or hand-write new text, drag and drop words for reordering, or use spoken commands to update the text in place. All text manipulations are logged in an easily interpretable format to simplify subsequent translation process research. The results of an evaluation with professional translators suggest that pen and touch interaction are suitable for deletion and reordering tasks, while speech and multi-modal combinations of select {\&} speech are considered suitable for replacements and insertions. Overall, experiment participants were enthusiastic about the new modalities and saw them as useful extensions to mouse {\&} keyboard, but not as a complete substitute."
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%0 Conference Proceedings
%T MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation
%A Herbig, Nico
%A Pal, Santanu
%A Düwel, Tim
%A Meladaki, Kalliopi
%A Monshizadeh, Mahsa
%A Hnatovskiy, Vladislav
%A Krüger, Antonio
%A van Genabith, Josef
%Y Celikyilmaz, Asli
%Y Wen, Tsung-Hsien
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F herbig-etal-2020-mmpe-multi
%X The shift from traditional translation to post-editing (PE) of machine-translated (MT) text can save time and reduce errors, but it also affects the design of translation interfaces, as the task changes from mainly generating text to correcting errors within otherwise helpful translation proposals. Since this paradigm shift offers potential for modalities other than mouse and keyboard, we present MMPE, the first prototype to combine traditional input modes with pen, touch, and speech modalities for PE of MT. Users can directly cross out or hand-write new text, drag and drop words for reordering, or use spoken commands to update the text in place. All text manipulations are logged in an easily interpretable format to simplify subsequent translation process research. The results of an evaluation with professional translators suggest that pen and touch interaction are suitable for deletion and reordering tasks, while speech and multi-modal combinations of select & speech are considered suitable for replacements and insertions. Overall, experiment participants were enthusiastic about the new modalities and saw them as useful extensions to mouse & keyboard, but not as a complete substitute.
%R 10.18653/v1/2020.acl-demos.37
%U https://aclanthology.org/2020.acl-demos.37/
%U https://doi.org/10.18653/v1/2020.acl-demos.37
%P 327-334
Markdown (Informal)
[MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation](https://aclanthology.org/2020.acl-demos.37/) (Herbig et al., ACL 2020)
ACL
- Nico Herbig, Santanu Pal, Tim Düwel, Kalliopi Meladaki, Mahsa Monshizadeh, Vladislav Hnatovskiy, Antonio Krüger, and Josef van Genabith. 2020. MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 327–334, Online. Association for Computational Linguistics.