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Publication search results
found 24 matches
- 2022
- Mohaddeseh Bastan, Shahram Khadivi:
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings. LoResMT@COLING 2022: 93-98 - Everlyn Chimoto, Bruce A. Bassett:
Very Low Resource Sentence Alignment: Luhya and Swahili. LoResMT@COLING 2022: 1-8 - Luis Chiruzzo, Euan McGill, Santiago Egea Gómez, Horacio Saggion:
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches. LoResMT@COLING 2022: 75-83 - 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. LoResMT@COLING 2022: 48-55 - Jenn Leana Fernandez, Kristine Mae M. Adlaon:
Exploring Word Alignment towards an Efficient Sentence Aligner for Filipino and Cebuano Languages. LoResMT@COLING 2022: 99-106 - Mike Izbicki:
Aligning Word Vectors on Low-Resource Languages with Wiktionary. LoResMT@COLING 2022: 107-117 - Shivam Mhaskar, Pushpak Bhattacharyya:
Multiple Pivot Languages and Strategic Decoder Initialization Helps Neural Machine Translation. LoResMT@COLING 2022: 9-14 - Anna Mosolova, Kamel Smaïli:
The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia. LoResMT@COLING 2022: 23-34 - Vasile Pais, Maria Mitrofan, Andrei-Marius Avram:
Romanian Language Translation in the RELATE Platform. LoResMT@COLING 2022: 64-74 - Sonam Pankaj, Amit Gautam:
Augmented Bio-SBERT: Improving Performance for Pairwise Sentence Tasks in Bio-medical Domain. LoResMT@COLING 2022: 43-47 - Alberto Poncelas, Johanes Effendi:
Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian. LoResMT@COLING 2022: 84-92 - Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen
:
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican. LoResMT@COLING 2022: 35-42 - Edoardo Signoroni
, Pavel Rychlý:
HFT: High Frequency Tokens for Low-Resource NMT. LoResMT@COLING 2022: 56-63 - Winston Wu
, David Yarowsky:
Known Words Will Do: Unknown Concept Translation via Lexical Relations. LoResMT@COLING 2022: 15-22 - Frontmatter. LoResMT@COLING 2022
- 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 [contents] - 2018
- Sushain Cherivirala, Shardul Chiplunkar, Jonathan North Washington, Kevin Unhammer:
Apertium's Web Toolchain for Low-Resource Language Technology. LoResMT@AMTA 2018: 53-62 - Meghan Dowling, Teresa Lynn, Alberto Poncelas, Andy Way:
SMT versus NMT: Preliminary comparisons for Irish. LoResMT@AMTA 2018: 12-20 - Ilya Gusev, Artem Oboturov:
System Description of Supervised and Unsupervised Neural Machine Translation Approaches from "NL Processing" Team at DeepHack.Babel Task. LoResMT@AMTA 2018: 45-52 - Wen Lai, Xiaobing Zhao, Wei Bao:
Tibetan-Chinese Neural Machine Translation based on Syllable Segmentation. LoResMT@AMTA 2018: 21-29 - Nathaniel Oco, Rachel E. O. Roxas:
A Survey of Machine Translation Work in the Philippines: From 1998 to 2018. LoResMT@AMTA 2018: 30-36 - John Ortega, Krishnan Pillaipakkamnatt:
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation. LoResMT@AMTA 2018: 1-11 - Ivan Skorokhodov, Anton Rykachevskiy, Dmitry Emelyanenko, Sergey Slotin, Anton Ponkratov:
Semi-Supervised Neural Machine Translation with Language Models. LoResMT@AMTA 2018: 37-44 - Chao-Hong Liu:
Proceedings of the Workshop on Technologies for MT of Low Resource Languages, LoResMT@AMTA 2018, Boston, MA, USA, March 21, 2018. Association for Machine Translation in the Americas 2018 [contents]
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retrieved on 2024-09-11 08:34 CEST from data curated by the dblp team
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