- Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings
- Pamela Shapiro and Kevin Duh
- Entropy-Based Subword Mining with an Application to Word Embeddings
- Ahmed El-Kishky, Frank Xu, Aston Zhang, Stephen Macke, Jiawei Han
- A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts
- Wafia Adouane, Simon Dobnik, Jean-Philippe Bernardy, Nasredine Semmar
- Addressing Low-Resource Scenarios with Character-aware Embeddings
- Sean Papay, Sebastian Padó, Ngoc Thang Vu
- Subword-level Composition Functions for Learning Word Embeddings
- Bofang Li, Aleksandr Drozd, Tao Liu, Xiaoyong Du
- Discovering Phonesthemes with Sparse Regularization
- Nelson F. Liu, Gina-Anne Levow, Noah A. Smith
- Meaningless yet meaningful: Morphology grounded subword-level NMT
- Tamali Banerjee and Pushpak Bhattacharyya
- Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings
- Hrishikesh Ganu and Viswa Datha P
- Incorporating Subword Information into Matrix Factorization Word Embeddings
- Alexandre Salle and Aline Villavicencio
- A Multi-Context Character Prediction Model for a Brain-Computer Interface
- Shiran Dudy, Shaobin Xu, Steven Bedrick, David Smith
- (Extended abstract) Robust Word Vectors: Embeddings for Noisy Texts