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Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification.

, , , and . IWSLT, Association for Computational Linguistics, (2019)

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Neural hidden Markov model for machine translation.. RWTH Aachen University, Germany, (2023)Investigation on Data Adaptation Techniques for Neural Named Entity Recognition., , , , and . ACL (student), page 1-15. Association for Computational Linguistics, (2021)Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation., , and . ACL (2), The Association for Computer Linguistics, (2016)Investigation of Large-Margin Softmax in Neural Language Modeling., , , , and . INTERSPEECH, page 3645-3649. ISCA, (2020)Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification., , , and . IWSLT, Association for Computational Linguistics, (2019)Analysis of Positional Encodings for Neural Machine Translation., , , and . IWSLT, Association for Computational Linguistics, (2019)Recurrent Slice Networks for 3D Segmentation on Point Clouds., , and . CoRR, (2018)Data Processing Techniques for the TAC-KBP 2019 EDL Task., , , , and . TAC, NIST, (2019)CharacTer: Translation Edit Rate on Character Level., , , and . WMT, page 505-510. The Association for Computer Linguistics, (2016)The RWTH Aachen University Machine Translation Systems for WMT 2019., , , , , , , and . WMT (2), page 349-355. Association for Computational Linguistics, (2019)