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Using Related Languages to Enhance Statistical Language Models.

, , and . SRW@HLT-NAACL, page 116-123. The Association for Computational Linguistics, (2016)

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Pseudo-label Training and Model Inertia in Neural Machine Translation., , , , and . ICLR, OpenReview.net, (2023)Distilling Multiple Domains for Neural Machine Translation., , and . EMNLP (1), page 4500-4511. Association for Computational Linguistics, (2020)CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality., , , , , and . NAACL-HLT (Findings), page 616-632. Association for Computational Linguistics, (2022)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , and 51 other author(s). IWSLT@ACL, page 1-61. Association for Computational Linguistics, (2023)Dynamic adjustment of language models for automatic speech recognition using word similarity., , and . SLT, page 426-432. IEEE, (2016)The University of Edinburgh's Neural MT Systems for WMT17., , , , , , , and . WMT, page 389-399. Association for Computational Linguistics, (2017)Zero-Resource Neural Machine Translation with Monolingual Pivot Data., and . NGT@EMNLP-IJCNLP, page 99-107. Association for Computational Linguistics, (2019)Incorporating Source Syntax into Transformer-Based Neural Machine Translation., and . WMT (1), page 24-33. Association for Computational Linguistics, (2019)Copied Monolingual Data Improves Low-Resource Neural Machine Translation., , and . WMT, page 148-156. Association for Computational Linguistics, (2017)Using Related Languages to Enhance Statistical Language Models., , and . SRW@HLT-NAACL, page 116-123. The Association for Computational Linguistics, (2016)