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Decipherment of Substitution Ciphers with Neural Language Models.

, , and . EMNLP, page 869-874. Association for Computational Linguistics, (2018)

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Learning Nearest Neighbour Informed Latent Word Embeddings to Improve Zero-Shot Machine Translation., , and . IWSLT@ACL, page 291-301. Association for Computational Linguistics, (2023)Decipherment as Regression: Solving Historical Substitution Ciphers by Learning Symbol Recurrence Relations., , and . EACL (Findings), page 2091-2107. Association for Computational Linguistics, (2023)Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation., , and . AACL/IJCNLP (Student Research Workshop), page 93-100. Association for Computational Linguistics, (2020)Measuring and Improving Faithfulness of Attention in Neural Machine Translation., , and . EACL, page 2791-2802. Association for Computational Linguistics, (2021)Sign Clustering and Topic Extraction in Proto-Elamite., , , , and . LaTeCH@NAACL-HLT, page 122-132. Association for Computational Linguistics, (2019)Decipherment for Adversarial Offensive Language Detection., , and . ALW, page 149-159. Association for Computational Linguistics, (2018)Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation., , and . EAMT, page 131-140. European Association for Machine Translation, (2022)Language Model Based Target Token Importance Rescaling for Simultaneous Neural Machine Translation., , and . IWSLT@ACL, page 341-356. Association for Computational Linguistics, (2023)CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation., , and . ACL (1), page 201-218. Association for Computational Linguistics, (2022)Interrogating the Explanatory Power of Attention in Neural Machine Translation., , and . NGT@EMNLP-IJCNLP, page 221-230. Association for Computational Linguistics, (2019)