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Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task.

, , , , , and . WMT (shared task), page 908-916. Association for Computational Linguistics, (2018)

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On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT., and . LREC, page 602-607. European Language Resources Association (ELRA), (2014)Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain., , , , , , , and . WMT@EMNLP, page 733-774. Association for Computational Linguistics, (2021)Test Set Sampling Affects System Rankings: Expanded Human Evaluation of WMT20 English-Inuktitut Systems., and . WMT, page 140-153. Association for Computational Linguistics, (2022)Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics., and . SSST@ACL, page 49-56. Association for Computational Linguistics, (2012)Semantic vs. Syntactic vs. N-gram Structure for Machine Translation Evaluation., and . SSST@COLING, page 52-60. Coling 2010 Organizing Committee, (2010)NRC Russian-English Machine Translation System for WMT 2016., , , , , , and . WMT, page 326-332. The Association for Computer Linguistics, (2016)Human semantic MT evaluation with HMEANT for IWSLT 2013., and . IWSLT (Evaluation Campaign), (2013)NRC Machine Translation System for WMT 2017., , , , , , and . WMT, page 330-337. Association for Computational Linguistics, (2017)BiMEANT: Integrating Cross-Lingual and Monolingual Semantic Frame Similarities in the MEANT Semantic MT Evaluation Metric., and . SLSP, volume 8791 of Lecture Notes in Computer Science, page 82-93. Springer, (2014)Findings of the 2020 Conference on Machine Translation (WMT20)., , , , , , , , , and 11 other author(s). WMT@EMNLP, page 1-55. Association for Computational Linguistics, (2020)