Abstract is missing.
- Frontmatter [doi]
- Very Low Resource Sentence Alignment: Luhya and SwahiliEverlyn Chimoto, Bruce Bassett. 1-8 [doi]
- Multiple Pivot Languages and Strategic Decoder Initialization Helps Neural Machine TranslationShivam Mhaskar, Pushpak Bhattacharyya. 9-14 [doi]
- Known Words Will Do: Unknown Concept Translation via Lexical RelationsWinston Wu, David Yarowsky. 15-22 [doi]
- The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of EurasiaAnna Mosolova, Kamel Smaïli. 23-34 [doi]
- Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and JamaicanNathaniel Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen. 35-42 [doi]
- Augmented Bio-SBERT: Improving Performance for Pairwise Sentence Tasks in Bio-medical DomainSonam Pankaj, Amit Gautam. 43-47 [doi]
- Machine Translation for a Very Low-Resource Language - Layer Freezing Approach on Transfer LearningAmartya Chowdhury, Deepak K. T., Samudra Vijaya K, S. R. Mahadeva Prasanna. 48-55 [doi]
- HFT: High Frequency Tokens for Low-Resource NMTEdoardo Signoroni, Pavel Rychlý. 56-63 [doi]
- Romanian Language Translation in the RELATE PlatformVasile Pais, Maria Mitrofan, Andrei-Marius Avram. 64-74 [doi]
- Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven ApproachesLuis Chiruzzo, Euan McGill, Santiago Egea Gómez, Horacio Saggion. 75-83 [doi]
- Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and MalaysianAlberto Poncelas, Johanes Effendi. 84-92 [doi]
- A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource SettingsMohaddeseh Bastan, Shahram Khadivi. 93-98 [doi]
- Exploring Word Alignment towards an Efficient Sentence Aligner for Filipino and Cebuano LanguagesJenn Leana Fernandez, Kristine Mae M. Adlaon. 99-106 [doi]
- Aligning Word Vectors on Low-Resource Languages with WiktionaryMike Izbicki. 107-117 [doi]