The RWTH Machine Translation System for WMT 2009

نویسندگان

  • Maja Popovic
  • David Vilar
  • Daniel Stein
  • Evgeny Matusov
  • Hermann Ney
چکیده

RWTH participated in the shared translation task of the Fourth Workshop of Statistical Machine Translation (WMT 2009) with the German-English, French-English and Spanish-English pair in each translation direction. The submissions were generated using a phrase-based and a hierarchical statistical machine translation systems with appropriate morpho-syntactic enhancements. POS-based reorderings of the source language for the phrase-based systems and splitting of German compounds for both systems were applied. For some tasks, a system combination was used to generate a final hypothesis. An additional English hypothesis was produced by combining all three final systems for translation into English.

برای دانلود رایگان 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

The RWTH System Combination System for WMT 2009

RWTH participated in the System Combination task of the Fourth Workshop on Statistical Machine Translation (WMT 2009). Hypotheses from 9 German→English MT systems were combined into a consensus translation. This consensus translation scored 2.1% better in BLEU and 2.3% better in TER (abs.) than the best single system. In addition, cross-lingual output from 10 French, German, and Spanish→English...

متن کامل

The RWTH System Combination System for WMT 2010

RWTH participated in the System Combination task of the Fifth Workshop on Statistical Machine Translation (WMT 2010). For 7 of the 8 language pairs, we combine 5 to 13 systems into a single consensus translation, using additional n-best reranking techniques in two of these language pairs. Depending on the language pair, improvements versus the best single system are in the range of +0.5 and +1....

متن کامل

The RWTH Aachen German-English Machine Translation System for WMT 2014

This paper describes the statistical machine translation (SMT) systems developed at RWTH Aachen University for the German→English translation task of the ACL 2014 Eighth Workshop on Statistical Machine Translation (WMT 2014). Both hierarchical and phrase-based SMT systems are applied employing hierarchical phrase reordering and word class language models. For the phrase-based system, we run dis...

متن کامل

The RWTH Aachen German-English Machine Translation System for WMT 2015

This paper describes the statistical machine translation system developed at RWTH Aachen University for the German→English translation task of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015). A phrase-based machine translation system was applied and augmented with hierarchical phrase reordering and word class language models. Further, we ran discriminative maximum ex...

متن کامل

The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017

This paper describes the statistical machine translation system developed at RWTH Aachen University for the English→German and German→English translation tasks of the EMNLP 2017 Second Conference on Machine Translation (WMT 2017). We use ensembles of attention-based neural machine translation system for both directions. We use the provided parallel and synthetic data to train the models. In add...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009