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Conference of the Association for Machine Translation in the Americas

AMTA

National

CORE rank

CORE rank (raw)

National/Regional

Fields of research

Artificial Intelligence

Papers indexed

689

1994–2024

Papers per year

199480 peak2024

AMTA papers

689 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2020Building Salesforce Neural Machine Translation System.Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall
2020Towards Handling Compositionality in Low-Resource Bilingual Word Induction.Viktor Hangya, Alexander M. Fraser
2020In search of an acceptability/unacceptability threshold in machine translation post-editing automated metrics.Luca Guerrero
2020The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance.Cyril Goutte, Marine Carpuat, George F. Foster
2020On Target Segmentation for Direct Speech Translation.Mattia Antonino Di Gangi, Marco Gaido, Matteo Negri, Marco Turchi
2020Hybrid Machine Translation Using Joint, Binarised Feature Vectors.Christian Federmann
2020Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation.Marcello Federico, Alessandro Cattelan, Marco Trombetti
2020The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020.Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield
2020A Survey of Qualitative Error Analysis for Neural Machine Translation Systems.Denise Daz, James Cross, Vishrav Chaudhary, Ahmed El-Kishky, Philipp Koehn
2020Challenges in Predicting Machine Translation Utility for Human Post-Editors.Michael J. Denkowski, Alon Lavie
2020Identification of Fertile Translations in Comparable Corpora: A Morpho-Compositional Approach.Estelle Delpech, Batrice Daille, Emmanuel Morin, Claire Lemaire
2020Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help?Jennifer DeCamp
2020Making the business case for adopting MT.Rodrigo Cristina
2020One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation.Jonathan H. Clark, Alon Lavie, Chris Dyer
2020Sample Selection for Large-scale MT Discriminative Training.Yuan Cao, Sanjeev Khudanpur
2020Identifying Infrequent Translations by Aligning Non Parallel Sentences.Julien Bourdaillet, Philippe Langlais
2020PEMT for the Public Sector: Discovery, Scoping, and Delivery.Konstantine Boukhvalov, Eileen Block
2020Successful Tech Transfer of MT Research in Government.Kathy Baker
2020Investigation of Transformer-based Latent Attention Models for Neural Machine Translation.Parnia Bahar, Nikita Makarov, Hermann Ney
2020Hierarchical Phrase-Based MT for Phonetic Representation-Based Speech Translation.Zeeshan Ahmed, Jie Jiang, Julie Carson-Berndsen, Peter Cahill, Andy Way
2020A New Approach to Parameter-Sharing in Multilingual Neural Machine Translation.Benyamin Ahmadnia, Bonnie J. Dorr
2018Neural Won! Now What?Alex Yanishevsky
2018Termbase Exchange (TBX).Sue Wright
2018Register-sensitive Translation: a Case Study of Mandarin and Cantonese (Non-archival Extended Abstract).Tak-Sum Wong, John Lee
2018Tensor2Tensor for Neural Machine Translation.Ashish Vaswani, Samy Bengio, Eugene Brevdo, Franois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit
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Other A*/A conferences filed under the same field of research.