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Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning.

, и . HLT-NAACL, стр. 335-341. The Association for Computational Linguistics, (2013)

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A Phrase-Based Context-Dependent Joint Probability Model for Named Entity Translation., , , и . IJCNLP, том 3651 из Lecture Notes in Computer Science, стр. 600-611. Springer, (2005)Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning., и . HLT-NAACL, стр. 335-341. The Association for Computational Linguistics, (2013)Discriminative Word Alignment with a Function Word Reordering Model., , и . EMNLP, стр. 534-544. ACL, (2010)Generalizing Hierarchical Phrase-based Translation using Rules with Adjacent Nonterminals., и . HLT-NAACL, стр. 349-352. The Association for Computational Linguistics, (2010)Variational Neural Machine Translation with Normalizing Flows., , , и . ACL, стр. 7771-7777. Association for Computational Linguistics, (2020)Possible schemes on baseband signal joint detection concept for multimode terminal., и . DICTAP, стр. 52-57. IEEE, (2012)Phrase-Based Statistical Machine Translation: A Level of Detail Approach., , , и . IJCNLP, том 3651 из Lecture Notes in Computer Science, стр. 576-587. Springer, (2005)Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data., , , и . CoRR, (2022)One Wide Feedforward Is All You Need., , , и . WMT, стр. 1031-1044. Association for Computational Linguistics, (2023)Automating Behavioral Testing in Machine Translation., , , , и . WMT, стр. 1014-1030. Association for Computational Linguistics, (2023)