System Combination

This paper focuses on semantic role la- beling using automatically-generated syn- tactic information. A simple and robust strategy for system combination is pre- sented, which allows to partially recover from …...

This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that the systems to be combined …...

Currently there are several approaches to machine translation (MT) based on differ- ent paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar translation accuracy despite using fairly different …...

AbstractThe RWTH system for the IWSLT 2007 evaluation is a combination of several statistical machine translation systems. The combination includes Phrase-Based models, a n-gram translation model and a hierarchical phrase …...

System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, where word alignment, ordering, …...

RWTH participated in the shared transla- tion task of the Fourth Workshop of Sta- tistical Machine Translation (WMT 2009) with the German-English, French-English and Spanish-English pair in each transla- tion …...

Many Semantic Role Labeling (SRL) combination strategies have been pro- posed and tested on English SRL task. But little is known about how much Chi- nese SRL can benefit from …...

LIUM participated in the System Combi- nation task of the Fifth Workshop on Sta- tistical Machine Translation (WMT 2010). Hypotheses from 5 French/English MT systems were combined with MANY, an …...

Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from different models. We present model combina- …...

In this paper we describe the statisti- cal machine translation system of the RWTH Aachen University developed for the translation task of the Fifth Workshop on Statistical Machine Translation. State- …...

RWTH participated in the System Combi- nation task of the Fifth Workshop on Sta- tistical Machine Translation (WMT 2010). For 7 of the 8 language pairs, we com- bine 5 …...

UPV-PRHLT participated in the System Combination task of the Fifth Workshop on Statistical Machine Translation (WMT 2010). On each translation direction, all the submitted systems were combined into a consensus …...

RWTH participated in the System Combi- nation task of the Sixth Workshop on Sta- tistical Machine Translation (WMT 2011). For three language pairs, we combined 6 to 14 systems into …...

AbstractIn recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations …...

Improvements on driven decoding system combination This paper proposes an improved driven decoding method for speech recognition system combination. The combination method involves the use of auxiliary transcription as external …...

AbstractWe report here on the eighth evaluation campaign organized in 2011 by the IWSLT workshop series. That IWSLT 2011 evaluation focused on the automatic translation of public talks and included …...

This paper describes the joint submis- sion of the QUAERO project for the German→English translation task of the ACL 2013 Eighth Workshop on Statisti- cal Machine Translation (WMT 2013). The …...

AbstractA major problem with dialectal Arabic speech recognition is due to the sparsity of speech resources. In this paper, a transfer learning framework is proposed to jointly use a large …...

In this work, we revisit Shared Task 1 from the 2012 *SEM Conference: the au- tomated analysis of negation. Unlike the vast majority of participating systems in 2012, our approach …...

Different approaches to high-quality grammatical error correction have been proposed recently, many of which have their own strengths and weaknesses. Most of these approaches are based on classi- fication or …...

This paper describes the DCU submis- sion to WMT 2014 on German-English translation task. Our system uses phrase- based translation model with several pop- ular techniques, including Lexicalized Reordering Model, …...

In this paper, we propose a paraphrasing model to address the task of system com- bination for machine translation. We dy- namically learn hierarchical paraphrases from target hypotheses and form …...

We present a novel framework of system combination for multi-document summarization. For each input set (input), we generate candidate summaries by combining whole sentences from the summaries generated by different …...

AbstractThis report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign. Building on lessons learned from previous years’ results, we refine our …...

AbstractThis paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&D Institute, Poland, and the University of Edinburgh. We focused on supplementing the very …...

AbstractThis paper describes the ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the …...