Abstract
Post-editing (PE) is a necessary process in every MT deployment environment. The competences needed for PE are traditionally seen as a subset of a human translator's competence. Meanwhile, some companies are accepting that the PE process involves self-standing linguistic tasks, which need their own training efforts and appropriate software tool support. To date, we still lack recorded qualitatively and quantitatively PE user-activity data that adequately describe the tasks and in particular the human cognitive processes accomplished. This data is needed to effectively model, design and implement supportive software systems which, on the one hand, efficiently guide the human post-editor and enhance her cognitive capabilities, and on the other hand, have a certain influence on the translation performance and competence of the employed MT system. In this paper we argue for a framework of practices to describe the PE process by correlating data obtained in laboratory experiments and augmented by additional data from different resources such as interviews and mathematical prediction models with the tasks fulfilled, and to model the identified process in a multi-facetted fashion as a basis for the implementation of a human PE-aware interactive software system.- Anthology ID:
- 2008.amta-govandcom.22
- Volume:
- Proceedings of the 8th Conference of the Association for Machine Translation in the Americas: Government and Commercial Uses of MT
- Month:
- October 21-25
- Year:
- 2008
- Address:
- Waikiki, USA
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 448–453
- Language:
- URL:
- https://aclanthology.org/2008.amta-govandcom.22
- DOI:
- Cite (ACL):
- Jörg Schütz. 2008. Artificial Cognitive MT Post-Editing Intelligence. In Proceedings of the 8th Conference of the Association for Machine Translation in the Americas: Government and Commercial Uses of MT, pages 448–453, Waikiki, USA. Association for Machine Translation in the Americas.
- Cite (Informal):
- Artificial Cognitive MT Post-Editing Intelligence (Schütz, AMTA 2008)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2008.amta-govandcom.22.pdf