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Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization., , , , , , , , , and 1 other author(s). CoRR, (2023)Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding., , , and . EMNLP, page 310-315. Association for Computational Linguistics, (2017)The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models., , , , and . ACL (2), page 495-500. The Association for Computer Linguistics, (2015)Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation., , and . CoRR, (2019)A Multi-task Learning Approach for Named Entity Recognition using Local Detection., , and . CoRR, (2019)Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices., , , , , , , , , and 3 other author(s). ICASSP, page 1-5. IEEE, (2023)Conformer-Based Speech Recognition On Extreme Edge-Computing Devices., , , , , , , , , and . CoRR, (2023)Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models., , and . EMNLP, page 4725-4730. Association for Computational Linguistics, (2018)Cardinality estimation using neural networks., , , , and . CASCON, page 53-59. IBM / ACM, (2015)A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection., and . CoRR, (2016)