Differences

This shows you the differences between two versions of the page.

--- nlp:machine_translation [2023/10/25 00:37] – [Low-Resource] jmflanig
+++ nlp:machine_translation [2024/08/13 06:21] (current) – [Evaluation] jmflanig
@@ Line 61: / Line 61: @@
 ===== Unsupervised =====
+  * [[https://arxiv.org/pdf/1711.00043.pdf|Lample et al 2017- Unsupervised Machine Translation Using Monolingual Corpora Only]]
   * [[https://arxiv.org/pdf/1906.06718.pdf|Luo et al 2019 - Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B]]
+  * [[https://arxiv.org/pdf/1905.02450.pdf|Song et al 2019 - MASS: Masked Sequence to Sequence Pre-training for Language Generation]] [[https://github.com/microsoft/MASS|github]]
   * [[https://arxiv.org/pdf/2004.05516.pdf|Marchisio et al 2020 - When Does Unsupervised Machine Translation Work?]]
-  * [[https://arxiv.org/pdf/2106.15818.pdf|Marchisio et al 2021 - What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?]]
+  * [[https://arxiv.org/pdf/2106.15818.pdf|Marchisio et al 2021 - On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation]]
   * [[https://aclanthology.org/2022.wmt-1.73.pdf|Marco & Fraser 2022 - Findings of the WMT 2022 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT]]
+  * [[https://arxiv.org/pdf/2310.10385.pdf|Tan & Monz 2023 - Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance]]
 ===== Sentence Alignment =====
@@ Line 94: / Line 97: @@
   * [[https://arxiv.org/pdf/2004.06063.pdf|Freitag et al 2020 - BLEU might be Guilty but References are not Innocent]]
   * [[https://arxiv.org/pdf/2106.15195.pdf|Marie et al 2021 - Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers]]
+  * [[https://arxiv.org/pdf/2310.10482.pdf|Guerreiro et al 2023 - xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection]]
+  * [[https://arxiv.org/pdf/2302.14520|Kocmi & Federmann 2023 - Large Language Models Are State-of-the-Art Evaluators of Translation Quality]]
+  * **Evaluation of Metrics**
+    * **[[https://aclanthology.org/2021.tacl-1.87.pdf|Freitag et al 2021 - Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation]]** Used in [[https://www2.statmt.org/wmt24/metrics-task.html|WMT]]
 === BLEU ===
@@ Line 155: / Line 162: @@
 ===== People =====
   * [[https://scholar.google.com/citations?user=phgBJXYAAAAJ&hl=en|Wilker Aziz]]
+  * [[https://scholar.google.com/citations?user=iPAX6jcAAAAJ&hl=en|Marine Carpuat]]
   * [[https://scholar.google.com/citations?user=dok0514AAAAJ&hl=en|David Chiang]]
   * [[https://scholar.google.com/citations?user=dLaR9lgAAAAJ&hl=en|Orhan Firat]]