Comparison of Assorted Models for Transliteration
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[1] Grzegorz Kondrak,et al. Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion , 2007, NAACL.
[2] Joelle Pineau,et al. An Actor-Critic Algorithm for Sequence Prediction , 2016, ICLR.
[3] Haizhou Li,et al. Whitepaper of NEWS 2016 Shared Task on Machine Transliteration , 2016, NEWS@ACM.
[4] Alexander M. Rush,et al. OpenNMT: Open-Source Toolkit for Neural Machine Translation , 2017, ACL.
[5] Grzegorz Kondrak,et al. DirecTL: a Language Independent Approach to Transliteration , 2009, NEWS@IJCNLP.
[6] Mi-Young Kim,et al. Transliteration Generation and Mining with Limited Training Resources , 2010, NEWS@ACL.
[7] Grzegorz Kondrak,et al. String Transduction with Target Language Models and Insertion Handling , 2018, ArXiv.
[8] Grzegorz Kondrak,et al. Joint Processing and Discriminative Training for Letter-to-Phoneme Conversion , 2008, ACL.
[9] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[10] Marc'Aurelio Ranzato,et al. Sequence Level Training with Recurrent Neural Networks , 2015, ICLR.
[11] Grzegorz Kondrak,et al. Transliteration Experiments on Chinese and Arabic , 2012, NEWS@ACL.
[12] Grzegorz Kondrak,et al. Leveraging Transliterations from Multiple Languages , 2011, NEWS@IJCNLP.
[13] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[14] Hermann Ney,et al. Joint-sequence models for grapheme-to-phoneme conversion , 2008, Speech Commun..
[15] Lei Yao,et al. Multiple System Combination for Transliteration , 2015, NEWS@ACL.
[16] Grzegorz Kondrak,et al. TL : a Language-Independent Approach to Transliteration , 2009 .