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15th AMTA 2022: Orlando, USA - Research Track
- Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022. Association for Machine Translation in the Americas 2022 - Pintu Lohar, Sinead Madden, Edmond O'Connor, Maja Popovic, Tanya Habruseva:
Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction. 1-13 - Yasmin Moslem
, Rejwanul Haque, John D. Kelleher, Andy Way:
Domain-Specific Text Generation for Machine Translation. 14-30 - Neha Verma, Kenton Murray, Kevin Duh:
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation. 31-44 - Suzanna Sia, Kevin Duh:
Prefix Embeddings for In-context Machine Translation. 45-57 - Hossam Amer, Mohamed Afify, Young Jin Kim, Hitokazu Matsushita, Hany Hassan:
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. 58-69 - Muhammad N. ElNokrashy, Amr Hendy, Mohamed Maher, Mohamed Afify, Hany Hassan:
Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models. 70-82 - Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera:
Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. 83-96 - Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? 97-116 - Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? 117-130 - Salvador Carrión-Ponz, Francisco Casacuberta:
On the Effectiveness of Quasi Character-Level Models for Machine Translation. 131-143 - Jonas Waldendorf, Alexandra Birch, Barry Hadow, Antonio Valerio Micele Barone:
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation. 144-156 - Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn:
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. 157-174 - Martín Quesada Zaragoza, Francisco Casacuberta:
Limitations and Challenges of Unsupervised Cross-lingual Pre-training. 175-187 - Salvador Carrión-Ponz, Francisco Casacuberta:
Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation. 188-199 - Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. 200-214 - Shivendra Bhardwaj, David Alfonso-Hermelo, Philippe Langlais, Gabriel Bernier-Colborne, Cyril Goutte, Michel Simard:
Refining an Almost Clean Translation Memory Helps Machine Translation. 215-226 - Elizabeth M. Merkhofer, John C. Henderson, Abigail S. Gertner, Michael Doyle
Practical Attacks on Machine Translation using Paraphrase. 227-239 - Irene Murtagh, Víctor Ubieto Nogales, Josep Blat:
Sign Language Machine Translation and the Sign Language Lexicon: A Linguistically Informed Approach. 240-251 - Jonathan Mutal, Pierrette Bouillon, Magali Norré, Johanna Gerlach, Lucia Ormaechea Grijalba:
A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case. 252-263 - Kelly Marchisio, Conghao Xiong, Philipp Koehn:
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings. 264-273 - Eric Peter Wairagala:
Gender bias Evaluation in Luganda-English Machine Translation. 274-286 - Mohamed Abdelghaffar, Amr El Mogy, Nada Ahmed Sharaf:
Adapting Large Multilingual Machine Translation Models to Unseen Low Resource Languages via Vocabulary Substitution and Neuron Selection. 287-297 - Geza Kovacs, John DeNero:
Measuring the Effects of Human and Machine Translation on Website Engagement. 298-308 - Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. 309-321 - Hang Zhang, Liling Tan, Amita Misra:
Evaluating Machine Translation in Cross-lingual E-Commerce Search. 322-334
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