UHH Submission to the WMT17 Metrics Shared Task

نویسندگان

  • Melania Duma
  • Wolfgang Menzel
چکیده

In this paper the UHH submission to the WMT17 Metrics Shared Task is presented, which is based on sequence and tree kernel functions applied to the reference and candidate translations. In addition we also explore the effect of applying the kernel functions on the source sentence and a back-translation of the MT output, but also on the pair composed of the candidate translation and a pseudo-reference of the source segment. The newly proposed metric was evaluated using the data from WMT16, with the results demonstrating a high correlation with human judgments.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

UHH Submission to the WMT17 Quality Estimation Shared Task

The field of Quality Estimation (QE) has the goal to provide automatic methods for the evaluation of Machine Translation (MT), that do not require reference translations in their computation. We present our submission to the sentence level WMT17 Quality Estimation Shared Task. It combines tree and sequence kernels for predicting the post-editing effort of the target sentence. The kernels exploi...

متن کامل

Blend: a Novel Combined MT Metric Based on Direct Assessment - CASICT-DCU submission to WMT17 Metrics Task

Existing metrics to evaluate the quality of Machine Translation hypotheses take different perspectives into account. DPMFcomb, a metric combining the merits of a range of metrics, achieved the best performance for evaluation of to-English language pairs in the previous two years of WMT Metrics Shared Tasks. This year, we submit a novel combined metric, Blend, to WMT17 Metrics task. Compared to ...

متن کامل

Results of the WMT17 Metrics Shared Task

This paper presents the results of the WMT17 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT17 news translation task and Neural MT training task. We collected scores of 14 metrics from 8 research groups. In addition to that, we computed scores of 7 standard metrics (BLEU, SentBLEU, NIST, WER, PER, TER and CDER) as baselines. The...

متن کامل

Findings of the 2017 Conference on Machine Translation (WMT17)

This paper presents the results of the WMT17 shared tasks, which included three machine translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and run-time estimation of MT quality), an automatic post-editing task, a neural MT training task, and a bandit learning task.

متن کامل

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation. We mainly explored two multimodal architectures where either global visual features or convolutional feature maps are integrated in order to benefit from visual context. Our final systems ranked first for both En→De and En→Fr language pa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017