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Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model., , , , and . INTERSPEECH, page 57-61. ISCA, (2018)A knowledge-based recognition system for historical Mongolian documents., , , and . IJDAR, 19 (3): 221-235 (2016)Segmentation-based Mongolian LVCSR approach., , , and . ICASSP, page 8136-8139. IEEE, (2013)Mongolian Inflection Suffix Processing in NLP: A Case Study., , , , and . NLPCC, volume 9362 of Lecture Notes in Computer Science, page 347-352. Springer, (2015)Teacher-Student Training for Robust Tacotron-based TTS., , , , , and . CoRR, (2019)Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies., , , and . ICONIP (2), volume 9490 of Lecture Notes in Computer Science, page 536-544. Springer, (2015)Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks., , and . ICTAI, page 495-500. IEEE Computer Society, (2016)The Research on Mongolian Spoken Term Detection Based on Confusion Network., , , and . CCPR, volume 321 of Communications in Computer and Information Science, page 606-612. Springer, (2012)A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction., , , , and . COLING, page 2448-2455. Association for Computational Linguistics, (2018)Language Model for Mongolian Polyphone Proofreading., , and . CCL, volume 10565 of Lecture Notes in Computer Science, page 461-471. Springer, (2017)