Abstract is missing.
- Character and Subword-Based Word Representation for Neural Language Modeling PredictionMatthieu Labeau, Alexandre Allauzen. 1-13 [doi]
- Learning variable length units for SMT between related languages via Byte Pair EncodingAnoop Kunchukuttan, Pushpak Bhattacharyya. 14-24 [doi]
- Character Based Pattern Mining for Neology DetectionGaël Lejeune, Emmanuel Cartier. 25-30 [doi]
- Automated Word Stress Detection in RussianMaria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak, Anatoly Starostin. 31-35 [doi]
- A Syllable-based Technique for Word Embeddings of Korean WordsSanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee. 36-40 [doi]
- Supersense Tagging with a Combination of Character, Subword, and Word-level RepresentationsYouhyun Shin, Sang-goo Lee. 41-45 [doi]
- Weakly supervised learning of allomorphyMiikka Silfverberg, Mans Hulden. 46-56 [doi]
- Character-based recurrent neural networks for morphological relational reasoningOlof Mogren, Richard Johansson. 57-63 [doi]
- Glyph-aware Embedding of Chinese CharactersFalcon Dai, Zheng Cai. 64-69 [doi]
- Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence ModelsHuiming Jin, Katharina Kann. 70-75 [doi]
- Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence ModelsKatharina Kann, Hinrich Schütze. 76-81 [doi]
- Vowel and Consonant Classification through Spectral DecompositionPatricia Thaine, Gerald Penn. 82-91 [doi]
- Syllable-level Neural Language Model for Agglutinative LanguageSeunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim. 92-96 [doi]
- Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity RecognitionShotaro Misawa, Motoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma. 97-102 [doi]
- Word Representation Models for Morphologically Rich Languages in Neural Machine TranslationEkaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari. 103-108 [doi]
- Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative LanguageCarlo Alva, Arturo Oncevay. 109-116 [doi]
- What do we need to know about an unknown word when parsing GermanBich Ngoc Do, Ines Rehbein, Anette Frank. 117-123 [doi]
- A General-Purpose Tagger with Convolutional Neural NetworksXiang Yu, Agnieszka Falenska, Ngoc Thang Vu. 124-129 [doi]
- Reconstruction of Word Embeddings from Sub-Word ParametersKarl Stratos. 130-135 [doi]
- Inflection Generation for Spanish Verbs using Supervised LearningCristina Barros, Dimitra Gkatzia, Elena Lloret. 136-141 [doi]
- Neural Paraphrase Identification of Questions with Noisy PretrainingGaurav Singh Tomar, Thyago Duque, Oscar Täckström, Jakob Uszkoreit, Dipanjan Das 0001. 142-147 [doi]
- Sub-character Neural Language Modelling in JapaneseViet Nguyen, Julian Brooke, Timothy Baldwin. 148-153 [doi]
- Byte-based Neural Machine TranslationMarta R. Costa-Jussà, Carlos Escolano, José A. R. Fonollosa. 154-158 [doi]
- Improving Opinion-Target Extraction with Character-Level Word EmbeddingsSoufian Jebbara, Philipp Cimiano. 159-167 [doi]