otherentity ID: wmt2020

Related Papers

eTranslation’s Submissions to the WMT 2020 News Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe paper describes the submissions of the eTranslation team to the WMT 2020 news translation shared task. Leveraging the experience from the team’s participation last year we developed systems for …...

27662

HW-TSC’s Participation in the WMT 2020 News Translation Shared Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper presents our work in the WMT 2020 News Translation Shared Task. We participate in 3 language pairs including Zh/En, Km/En, and Ps/En and in both directions under the …...

27649

Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractTranslating to and from low-resource polysynthetic languages present numerous challenges for NMT. We present the results of our systems for the English–Inuktitut language pair for the WMT 2020 translation tasks. …...

27652

ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT’20 Metrics Shared Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe describe parBLEU, parCHRF++, and parESIM, which augment baseline metrics with automatically generated paraphrases produced by PRISM (Thompson and Post, 2020a), a multilingual neural machine translation system. We build on …...

27550

POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes POSTECH-ETRI’s submission to WMT2020 for the shared task on automatic post-editing (APE) for 2 language pairs: English-German (En-De) and English-Chinese (En-Zh). We propose APE systems based on …...

27585

SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper, we introduced our joint team SJTU-NICT ‘s participation in the WMT 2020 machine translation shared task. In this shared task, we participated in four translation directions of …...

27659

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe describe the joint submission of the University of Edinburgh and Charles University, Prague, to the Czech/English track in the WMT 2020 Shared Task on News Translation. Our fast and …...

27665

Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the Tencent AI Lab submission of the WMT2020 shared task on biomedical translation in four language directions: German<->English, English<->German, Chinese<->English and English<->Chinese. We implement our system with …...

27551

The DeepMind Chinese–English Document Translation System at WMT2020

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the DeepMind submission to the Chinese→English constrained data track of the WMT2020 Shared Task on News Translation. The submission employs a noisy channel factorization as the backbone …...

27645

The NITS-CNLP System for the Unsupervised MT Task at WMT 2020

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe describe NITS-CNLP’s submission to WMT 2020 unsupervised machine translation shared task for German language (de) to Upper Sorbian (hsb) in a constrained setting i.e, using only the data provided …...

27492

The University of Edinburgh’s submission to the German-to-English and English-to-German Tracks in the WMT 2020 News Translation and Zero-shot Translation Robustness Tasks

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the University of Edinburgh’s submission of German <-> English systems to the WMT2020 Shared Tasks on News Translation and Zero-shot Robustness....

27663

Tilde at WMT 2020: News Task Systems

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes Tilde’s submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks. We …...

27666

Two-Phase Cross-Lingual Language Model Fine-Tuning for Machine Translation Quality Estimation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper, we describe the Bering Lab’s submission to the WMT 2020 Shared Task on Quality Estimation (QE). For word-level and sentence-level translation quality estimation, we fine-tune XLM-RoBERTa, the …...

27510

Unbabel’s Participation in the WMT20 Metrics Shared Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present the contribution of the Unbabel team to the WMT 2020 Shared Task on Metrics. We intend to participate on the segmentlevel, document-level and system-level tracks on all language …...

27547

WeChat Neural Machine Translation Systems for WMT20

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe participate in the WMT 2020 shared newstranslation task on Chinese→English. Our system is based on the Transformer (Vaswaniet al., 2017a) with effective variants and the DTMT (Meng and Zhang, …...

27656

QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractQuality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to to investigate automatic methods for estimating the quality of …...

27408

RoBLEURT Submission for WMT2021 Metrics Task

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we present our submission to Shared Metrics Task: RoBLEURT (Robustly Optimizing the training of BLEURT). After investigating the recent advances of trainable metrics, we conclude several aspects …...

27682