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ORCID10th AMTA 2020: San Diego, California, USA
- Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, AMTA 2012, San Diego, California, USA, October 28 - November 1, 2012. Association for Machine Translation in the Americas 2012
- Zeeshan Ahmed, Jie Jiang, Julie Carson-Berndsen, Peter Cahill, Andy Way:
Hierarchical Phrase-Based MT for Phonetic Representation-Based Speech Translation. - Julien Bourdaillet, Philippe Langlais:
Identifying Infrequent Translations by Aligning Non Parallel Sentences. - Yuan Cao, Sanjeev Khudanpur:
Sample Selection for Large-scale MT Discriminative Training. - Jonathan H. Clark, Alon Lavie, Chris Dyer:
One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation. - Estelle Delpech, Béatrice Daille, Emmanuel Morin, Claire Lemaire:
Identification of Fertile Translations in Comparable Corpora: A Morpho-Compositional Approach. - Michael J. Denkowski, Alon Lavie:
Challenges in Predicting Machine Translation Utility for Human Post-Editors. - Cyril Goutte, Marine Carpuat, George F. Foster:
The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance. - Matthias Huck, Hermann Ney:
Pivot Lightly-Supervised Training for Statistical Machine Translation. - Philipp Koehn, Barry Haddow:
Interpolated Backoff for Factored Translation Models. - William Lewis, Phong Yang:
Building MT for a Severely Under-Resourced Language: White Hmong. - Wei-Yun Ma, Kathleen R. McKeown:
Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding. - Kristen Parton, Nizar Habash, Kathleen R. McKeown:
Lost & Found in Translation: Impact of Machine Translated Results on Translingual Information Retrieval. - Daniele Pighin, Lluís Formiga, Lluís Màrquez:
A Graph-based Strategy to Streamline Translation Quality Assessments. - Avneesh Saluja, Ian R. Lane, Ying Zhang:
Machine Translation with Binary Feedback: a Large-Margin Approach. - Christer Samuelsson:
HAL: Challenging Three Key Aspects of IBM-style Statistical Machine Translation. - Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar:
Compact Rule Extraction for Hierarchical Phrase-based Translation. - Artem Sokolov, Guillaume Wisniewski, François Yvon:
Non-linear n-best List Reranking with Few Features. - Wei Wang, Klaus Macherey, Wolfgang Macherey, Franz Josef Och, Peng Xu:
Improved Domain Adaptation for Statistical Machine Translation. - Jan Niehues, Alex Waibel:
Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT. - Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, Andrea Gesmundo:
Machine Translation of Labeled Discourse Connectives. - Kashif Shah, Loïc Barrault, Holger Schwenk:
A General Framework to Weight Heterogeneous Parallel Data for Model Adaptation in Statistical MT. - Marcello Federico, Alessandro Cattelan, Marco Trombetti:
Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation. - Christian Federmann:
Hybrid Machine Translation Using Joint, Binarised Feature Vectors. - Johann Roturier, Linda Mitchell, Robert Grabowski, Melanie Siegel:
Using Automatic Machine Translation Metrics to Analyze the Impact of Source Reformulations. - Manny Rayner, Pierrette Bouillon, Barry Haddow:
Using Source-Language Transformations to Address Register Mismatches in SMT. - Michel Simard, Atsushi Fujita:
A Poor Man's Translation Memory Using Machine Translation Evaluation Metrics. - Rasoul Samad Zadeh Kaljahi, Raphael Rubino, Johann Roturier, Jennifer Foster:
A Detailed Analysis of Phrase-based and Syntax-based MT: The Search for Systematic Differences. - Howard Johnson:
Conditional Significance Pruning: Discarding More of Huge Phrase Tables. - Mei Yang, Katrin Kirchhoff:
Unsupervised Translation Disambiguation for Cross-Domain Statistical Machine Translation.
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