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ORCID18th MTSummit 2021: Virtual Event
- Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, MTSummit 2021 Virtual, August 16-20, 2021. Association for Machine Translation in the Americas 2021 - Kevin Duh, Francisco Guzmán:
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). - Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur:
Learning Curricula for Multilingual Neural Machine Translation Training. 1-9 - Kamal Kumar Gupta, Dhanvanth Boppana, Rejwanul Haque
, Asif Ekbal, Pushpak Bhattacharyya:
Investigating Active Learning in Interactive Neural Machine Translation. 10-22 - Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharya:
Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study. 23-34 - Aakash Banerjee, Aditya Jain, Shivam Mhaskar, Sourabh Dattatray Deoghare, Aman Sehgal, Pushpak Bhattacharya:
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair. 35-47 - Séamus Lankford, Haithem Alfi, Andy Way:
Transformers for Low-Resource Languages: Is Féidir Linn! 48-60 - David Ifeoluwa Adelani, Dana Ruiter, Jesujoba O. Alabi, Damilola Adebonojo, Adesina Ayeni, Mofe Adeyemi, Ayodele Awokoya, Cristina España-Bonet:
The Effect of Domain and Diacritics in Yoruba-English Neural Machine Translation. 61-75 - Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. 76-91 - Alexandra Birch, Barry Haddow, Antonio Valerio Miceli Barone, Jindrich Helcl, Jonas Waldendorf, Felipe Sánchez-Martínez, Mikel L. Forcada, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Wilker Aziz, Lina Murady, Sevi Sariisik, Peggy van der Kreeft, Kay Macquarrie:
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months. 92-102 - Samuel Larkin, Michel Simard, Rebecca Knowles:
Like Chalk and Cheese? On the Effects of Translationese in MT Training. 103-113 - Raj Dabre, Atsushi Fujita:
Investigating Softmax Tempering for Training Neural Machine Translation Models. 114-126 - Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharya:
Scrambled Translation Problem: A Problem of Denoising UNMT. 127-138 - Minghan Wang, Jiaxin Guo, Yimeng Chen, Chang Su, Min Zhang, Shimin Tao, Hao Yang:
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation. 139-149 - Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework. 150-162 - Maja Popovic:
On nature and causes of observed MT errors. 163-175 - Simon Riess, Matthias Huck, Alexander Fraser:
A Comparison of Sentence-Weighting Techniques for NMT. 176-187 - Alex Jones, Derry Wijaya:
Sentiment-based Candidate Selection for NMT. 188-201 - Raj Dabre, Aizhan Imankulova, Masahiro Kaneko:
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation. 202-214 - Atsushi Fujita:
Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing. 215-230 - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Modeling Target-side Inflection in Placeholder Translation. 231-242 - Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation. 243-255 - Anh Khoa Ngo Ho, François Yvon:
Optimizing Word Alignments with Better Subword Tokenization. 256-269 - Ángel Navarro, Francisco Casacuberta:
Introducing Mouse Actions into Interactive-Predictive Neural Machine Translation. 270-281 - Artur Nowakowski, Krzysztof Jassem:
Neural Machine Translation with Inflected Lexicon. 282-292 - Kelly Marchisio, Philipp Koehn, Conghao Xiong:
An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora. 293-304
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