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Language Models of Spoken Dutch., , , , and . CoRR, (2017)Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models., , , , , and . ICASSP, page 5985-5989. IEEE, (2016)Improving the Translation Environment for Professional Translators., , , , , , , , , and 12 other author(s). Informatics, 6 (2): 24 (2019)State Gradients for RNN Memory Analysis., , , and . BlackboxNLP@EMNLP, page 344-346. Association for Computational Linguistics, (2018)Character-Word LSTM Language Models., , , and . EACL (1), page 417-427. Association for Computational Linguistics, (2017)Information-Weighted Neural Cache Language Models for ASR., , , and . SLT, page 756-762. IEEE, (2018)TF-LM: TensorFlow-based Language Modeling Toolkit., , and . LREC, European Language Resources Association (ELRA), (2018)Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?, and . CoRR, (2019)STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools., , , , , and . INTERSPEECH, page 780-781. ISCA, (2016)Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence., , , , and . INTERSPEECH, page 1074-1078. ISCA, (2016)