Abstract is missing.
- Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource TranslationJohn Ortega, Krishnan Pillaipakkamnatt. 1-11 [doi]
- SMT versus NMT: Preliminary comparisons for IrishMeghan Dowling, Teresa Lynn, Alberto Poncelas, Andy Way. 12-20 [doi]
- Tibetan-Chinese Neural Machine Translation based on Syllable SegmentationWen Lai, Xiaobing Zhao, Wei Bao. 21-29 [doi]
- A Survey of Machine Translation Work in the Philippines: From 1998 to 2018Nathaniel Oco, Rachel E. O. Roxas. 30-36 [doi]
- Semi-Supervised Neural Machine Translation with Language ModelsIvan Skorokhodov, Anton Rykachevskiy, Dmitry Emelyanenko, Sergey Slotin, Anton Ponkratov. 37-44 [doi]
- System Description of Supervised and Unsupervised Neural Machine Translation Approaches from "NL Processing" Team at DeepHack.Babel TaskIlya Gusev, Artem Oboturov. 45-52 [doi]
- Apertium's Web Toolchain for Low-Resource Language TechnologySushain Cherivirala, Shardul Chiplunkar, Jonathan Washington, Kevin Unhammer. 53-62 [doi]