otherentity ID: wmt2017

Related Papers

Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

This work explores extending attention- based neural models to include alignment information as input. We modify the at- tention component to have dependence on the current source position. The at- …...

28001

CUNI System for WMT17 Automatic Post-Editing Task

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

Following upon the last year’s CUNI sys- tem for automatic post-editing of machine translation output, we focus on exploit- ing the potential of sequence-to-sequence neural models for this task. In …...

27889

Evaluating the morphological competence of Machine Translation Systems

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

While recent changes in Machine Trans- lation state-of-the-art brought translation quality a step further, it is regularly ac- knowledged that the standard automatic metrics do not provide enough insights to …...

28006

NRC Machine Translation System for WMT 2017

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

We describe the machine translation sys- tems developed at the National Research Council of Canada (NRC) for the Russian- English and Chinese-English news trans- lation tasks of the Second Conference …...

27977

PJIIT’s systems for WMT 2017 Conference

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

In this paper, we attempt to improve Statistical Machine Translation (SMT) systems between Czech, Latvian and English in WNT’17 News translation task. We also participated in the Biomedical task and …...

27968

Rule-based Machine translation from English to Finnish

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

The paper describes a rule-based machine translation system adapted to English to Finnish translation. Although the translation system participates in the shared task of news transla- tion in WMT 2017, …...

27979

Sogou Neural Machine Translation Systems for WMT17

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

We describe the Sogou neural machine translation systems for the WMT 2017 Chinese↔English news translation tasks. Our systems are based on a multi- layer encoder-decoder architecture with attention mechanism. The …...

27969

SYSTRAN Purely Neural MT Engines for WMT2017

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

This paper describes SYSTRAN’s sys- tems submitted to the WMT 2017 shared news translation task for English-German, in both translation directions. Our sys- tems are built using OpenNMT1, an open- …...

27997

The Helsinki Neural Machine Translation System

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human …...

27978

The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

We present our experiments in the scope of the news translation task in WMT 2017, in three directions: German→English, English→German and English→Latvian. The core of our systems is the encoder- …...

27981

Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractAccurate, automatic evaluation of machine translation is critical for system tuning, and evaluating progress in the field. We proposed a simple unsupervised metric, and additional supervised metrics which rely on …...

39691

To Case or not to case: Evaluating Casing Methods for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present a comparative evaluation of casing methods for Neural Machine Translation, to help establish an optimal pre- and post-processing methodology. We trained and compared system variants on data prepared …...

14569