Neural versus Phrase-Based Machine Translation Quality: a Case Study
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Arianna Bisazza | Mauro Cettolo | Marcello Federico | Luisa Bentivogli | Marcello Federico | L. Bentivogli | M. Cettolo | Arianna Bisazza
[1] Mary A. Flanagan,et al. Error Classification for MT Evaluation , 1994, AMTA.
[2] Hermann Ney,et al. Accelerated DP based search for statistical translation , 1997, EUROSPEECH.
[3] Ralph Weischedel,et al. A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION , 2005 .
[4] Matthew G. Snover,et al. A Study of Translation Edit Rate with Targeted Human Annotation , 2006, AMTA.
[5] Hermann Ney,et al. Error Analysis of Statistical Machine Translation Output , 2006, LREC.
[6] Alexandra Birch,et al. Metrics for MT evaluation: evaluating reordering , 2010, Machine Translation.
[7] José A. R. Fonollosa,et al. Linguistic-based Evaluation Criteria to identify Statistical Machine Translation Errors , 2010, EAMT.
[8] Alexandra Birch,et al. Reordering metrics for statistical machine translation , 2011 .
[9] Maja Popovic. Hjerson: An Open Source Tool for Automatic Error Classification of Machine Translation Output , 2011, Prague Bull. Math. Linguistics.
[10] Ondrej Bojar,et al. Analyzing Error Types in English-Czech Machine Translation , 2011, Prague Bull. Math. Linguistics.
[11] Hermann Ney,et al. Towards Automatic Error Analysis of Machine Translation Output , 2011, CL.
[12] Ondrej Bojar,et al. Addicter: What Is Wrong with My Translations? , 2011, Prague Bull. Math. Linguistics.
[13] Dan I. Moldovan,et al. Semantic Representation of Negation Using Focus Detection , 2011, ACL.
[14] Mauro Cettolo,et al. WIT3: Web Inventory of Transcribed and Translated Talks , 2012, EAMT.
[15] Cédrick Fairon,et al. An “AI readability” Formula for French as a Foreign Language , 2012, EMNLP.
[16] Maarit Koponen,et al. Comparing human perceptions of post-editing effort with post-editing operations , 2012, WMT@NAACL-HLT.
[17] Ondrej Bojar,et al. Terra: a Collection of Translation Error-Annotated Corpora , 2012, LREC.
[18] Sara Stymne,et al. On the practice of error analysis for machine translation evaluation , 2012, LREC.
[19] Dragos Stefan Munteanu,et al. Measuring Machine Translation Errors in New Domains , 2013, TACL.
[20] Arianna Bisazza,et al. Efficient Solutions for Word Reordering in German-English Phrase-Based Statistical Machine Translation , 2013, WMT@ACL.
[21] Noah A. Smith,et al. A Simple, Fast, and Effective Reparameterization of IBM Model 2 , 2013, NAACL.
[22] Gerold Schneider,et al. Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis , 2013, RANLP.
[23] Lucia Specia,et al. A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output , 2013, MTSUMMIT.
[24] Hans Uszkoreit,et al. Learning from human judgments of machine translation output , 2013 .
[25] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[26] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[27] Marcello Federico,et al. Complexity of spoken versus written language for machine translation , 2014, EAMT.
[28] Yoshua Bengio,et al. Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation , 2014, SSST@EMNLP.
[29] Hans Uszkoreit,et al. Using a new analytic measure for the annotation and analysis of MT errors on real data , 2014, EAMT.
[30] Sonia Vandepitte,et al. On the origin of errors: A fine-grained analysis of MT and PE errors and their relationship , 2014, LREC.
[31] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[32] Marcello Federico,et al. Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models , 2014, EMNLP.
[33] Yoshua Bengio,et al. On Using Very Large Target Vocabulary for Neural Machine Translation , 2014, ACL.
[34] Yoshua Bengio,et al. Montreal Neural Machine Translation Systems for WMT’15 , 2015, WMT@EMNLP.
[35] Jan Niehues,et al. The KIT translation systems for IWSLT 2015 , 2015, IWSLT.
[36] Christopher D. Manning,et al. Stanford Neural Machine Translation Systems for Spoken Language Domains , 2015, IWSLT.
[37] Yoshua Bengio,et al. On Using Monolingual Corpora in Neural Machine Translation , 2015, ArXiv.
[38] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[39] Alexandra Birch,et al. The Edinburgh Machine Translation Systems for IWSLT 2015 , 2015 .
[40] Satoshi Nakamura,et al. Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015 , 2015, WAT.
[41] Jan Niehues,et al. The IWSLT 2015 Evaluation Campaign , 2015, IWSLT.
[42] Stefan Riezler,et al. The Heidelberg University English-German translation system for IWSLT 2015 , 2015, IWSLT.
[43] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[44] Philipp Koehn,et al. Findings of the 2015 Workshop on Statistical Machine Translation , 2015, WMT@EMNLP.