metric ID: nist

Related Papers

Applications of Automatic Evaluation Methods to Measuring a Capability of Speech Translation System

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

The main goal of this paper is to pro- pose automatic schemes for the trans- lation paired comparison method. This method was proposed to precisely eval- uate a speech translation …...

43522

Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

Following the recent adoption by the machine translation community of automatic evalua- tion using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for evaluating summaries. …...

24046

A Unified Approach in Speech-to-Speech Translation: Integrating Features of Speech recognition and Machine Translation

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

Based upon a statistically trained speech translation system, in this study, we try to combine distinctive features derived from the two modules: speech recognition and statistical machine translation, in a …...

5737

Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

Syntax-based statistical machine transla- tion (MT) aims at applying statistical models to structured data. In this paper, we present a syntax-based statistical ma- chine translation system based on a prob- …...

36568

NUT-NTT Statistical Machine Translation System for IWSLT 2005

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

In this paper, we present a novel distortion model for phrase-based statistical machine translation. Unlike the pre- vious phrase distortion models whose role is to simply penal- ize nonmonotonic alignments[1, …...

20467

Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

Evaluation of machine translation output is an important but difficult task. Over the last years, a variety of automatic evalua- tion measures have been studied, some of them like Word …...

20347

Automatic Evaluation of Translation Quality for Distant Language Pairs

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Automatic evaluation of Machine Translation (MT) quality is essential to developing high- quality MT systems. Various evaluation met- rics have been proposed, and BLEU is now used as the de …...

44436

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Translation systems are generally trained to optimize BLEU, but many alternative metrics are available. We explore how optimizing toward various automatic evaluation metrics (BLEU, METEOR, NIST, TER) affects the re- …...

23793

Translation Model Adaptation by Resampling

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

The translation model of statistical ma- chine translation systems is trained on par- allel data coming from various sources and domains. These corpora are usually con- catenated, word alignments are …...

28279

Fully Automatic Semantic MT Evaluation

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

We introduce the first fully automatic, fully seman- tic frame based MT evaluation metric, MEANT, that outperforms all other commonly used auto- matic metrics in correlating with human judgment on …...

28168

The TALP-UPC phrase-based translation systems for WMT12: Morphology simplification and domain adaptation

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

This paper describes the UPC participation in the WMT 12 evaluation campaign. All sys- tems presented are based on standard phrase- based Moses systems. Variations adopted sev- eral improvement techniques …...

28133

The TALP-UPC Phrase-Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper describes the TALP participa- tion in the WMT13 evaluation campaign. Our participation is based on the combi- nation of several statistical machine trans- lation systems: based on standard …...

27928

Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

As described in this paper, we pro- pose a new automatic evaluation met- ric for machine translation. Our met- ric is based on chunking between the reference and candidate translation. …...

28093

Bilingual Sentiment Consistency for Statistical Machine Translation

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

In this paper, we explore bilingual sentiment knowledge for statistical machine translation (SMT). We propose to explicitly model the consistency of sentiment between the source and target side with a …...

43488

Translation errors from English to Portuguese: an annotated corpus

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractAnalysing the translation errors is a task that can help us finding and describing translation problems in greater detail, but can also suggest where the automatic engines should be improved. …...

16920

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Neural machine translation (NMT) often makes mistakes in translating low-frequency content words that are essential to understand- ing the meaning of the sentence. We propose a method to alleviate this …...

33564

Syntax-based Multi-system Machine Translation

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThis paper describes a hybrid machine translation system that explores a parser to acquire syntactic chunks of a source sentence, translates the chunks with multiple online machine translation (MT) system …...

16730

Multi-layer Representation Fusion for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractNeural machine translation systems require a number of stacked layers for deep models. But the prediction depends on the sentence representation of the top-most layer with no access to low-level …...

5264

Neural Machine Translation with Reordering Embeddings

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe reordering model plays an important role in phrase-based statistical machine translation. However, there are few works that exploit the reordering information in neural machine translation. In this paper, we …...

39795

Unsupervised Neural Machine Translation with Future Rewarding

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we alleviate the local optimality of back-translation by learning a policy (takes the form of an encoder-decoder and is defined by its parameters) with future rewarding under …...

41730

The SAFE-T Corpus: A New Resource for Simulated Public Safety Communications

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce a new resource, the SAFE-T (Speech Analysis for Emergency Response Technology) Corpus, designed to simulate first-responder communications by inducing high vocal effort and urgent speech with situational background …...

14045