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ORCIDLoResMT@COLING 2022: Gyeongju, Korea
- Atul Kr. Ojha, Chao-Hong Liu, Ekaterina Vylomova, Jade Z. Abbott, Jonathan Washington, Nathaniel Oco, Flammie A. Pirinen, Valentin Malykh, Varvara Logacheva, Xiaobing Zhao:
Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages, LoResMT@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 - Frontmatter.
- Everlyn Chimoto, Bruce A. Bassett:
Very Low Resource Sentence Alignment: Luhya and Swahili. 1-8 - Shivam Mhaskar, Pushpak Bhattacharyya:
Multiple Pivot Languages and Strategic Decoder Initialization Helps Neural Machine Translation. 9-14 - Winston Wu
, David Yarowsky:
Known Words Will Do: Unknown Concept Translation via Lexical Relations. 15-22 - Anna Mosolova, Kamel Smaïli:
The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia. 23-34 - Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen:
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican. 35-42 - Sonam Pankaj, Amit Gautam:
Augmented Bio-SBERT: Improving Performance for Pairwise Sentence Tasks in Bio-medical Domain. 43-47 - Amartya Chowdhury, Deepak K. T., Samudra Vijaya K, S. R. Mahadeva Prasanna:
Machine Translation for a Very Low-Resource Language - Layer Freezing Approach on Transfer Learning. 48-55 - Edoardo Signoroni, Pavel Rychlý:
HFT: High Frequency Tokens for Low-Resource NMT. 56-63 - Vasile Pais, Maria Mitrofan, Andrei-Marius Avram:
Romanian Language Translation in the RELATE Platform. 64-74 - Luis Chiruzzo, Euan McGill, Santiago Egea Gómez, Horacio Saggion:
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches. 75-83 - Alberto Poncelas, Johanes Effendi:
Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian. 84-92 - Mohaddeseh Bastan, Shahram Khadivi:
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings. 93-98 - Jenn Leana Fernandez, Kristine Mae M. Adlaon:
Exploring Word Alignment towards an Efficient Sentence Aligner for Filipino and Cebuano Languages. 99-106 - Mike Izbicki:
Aligning Word Vectors on Low-Resource Languages with Wiktionary. 107-117
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