69 research outputs found
The RWTH Aachen German and English LVCSR systems for IWSLT-2013
Abstract In this paper, German and English large vocabulary continuous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 evaluation campaign are presented. Good improvements are obtained with state-of-the-art monolingual and multilingual bottleneck features. In addition, an open vocabulary approach using morphemic sub-lexical units is investigated along with the language model adaptation for the German LVCSR. For both the languages, competitive WERs are achieved using system combination
Overview of the IWSLT 2012 Evaluation Campaign
open5siWe report on the ninth evaluation campaign organized by
the IWSLT workshop. This year, the evaluation offered multiple
tracks on lecture translation based on the TED corpus, and
one track on dialog translation from Chinese
to English based on the Olympic trilingual corpus.
In particular, the TED tracks included a speech transcription
track in English, a speech translation track from English to French,
and text translation tracks from English to French and from Arabic
to English. In addition to the official tracks, ten unofficial
MT tracks were offered that required translating TED talks into English
from either Chinese, Dutch, German, Polish, Portuguese (Brazilian), Romanian, Russian, Slovak,
Slovene, or Turkish.
16 teams participated in the evaluation and submitted a total of 48 primary runs.
All runs were evaluated with objective metrics, while runs of the official translation
tracks were also ranked by crowd-sourced judges.
In particular, subjective ranking for the TED task was performed on a progress test which permitted
direct comparison of the results from this year against the best results from the 2011 round of the evaluation campaign.Marcello Federico; Mauro Cettolo; Luisa Bentivogli; Michael Paul; Sebastian StükerFederico, Marcello; Cettolo, Mauro; Bentivogli, Luisa; Michael, Paul; Sebastian, Stüke
The QT21/HimL Combined Machine Translation System
This paper describes the joint submission
of the QT21 and HimL projects for
the English→Romanian translation task of
the ACL 2016 First Conference on Machine
Translation (WMT 2016). The submission
is a system combination which
combines twelve different statistical machine
translation systems provided by the
different groups (RWTH Aachen University,
LMU Munich, Charles University in
Prague, University of Edinburgh, University
of Sheffield, Karlsruhe Institute of
Technology, LIMSI, University of Amsterdam,
Tilde). The systems are combined
using RWTH’s system combination
approach. The final submission shows an
improvement of 1.0 BLEU compared to the
best single system on newstest2016
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