Summary of the paper
| Title | Online Optimisation of Log-linear Weights in Interactive Machine Translation |
|---|---|
| Authors | Mara Chinea-Rios, Germán Sanchis Trilles, Daniel Ortiz-Martínez and Francisco Casacuberta |
| Abstract | Whenever the quality provided by a machine translation system is not enough, a human expert is required to correct the sentences provided by the machine translation system. In such a setup, it is crucial that the system is able to learn from the errors that have already been corrected. In this paper, we analyse the applicability of discriminative ridge regression for learning the log-linear weights of a state-of-the-art machine translation system underlying an interactive machine translation framework, with encouraging results. |
| Topics | Statistical and Machine Learning Methods, Other |
Full paper  |
Online Optimisation of Log-linear Weights in Interactive Machine Translation |
| Bibtex | @InProceedings{CHINEARIOS14.848, author = {Mara Chinea-Rios and Germán Sanchis Trilles and Daniel Ortiz-Martínez and Francisco Casacuberta}, title = {Online Optimisation of Log-linear Weights in Interactive Machine Translation}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |