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authorTharinduDR <rhtdranasinghe@gmail.com>2020-10-13 22:13:49 +0300
committerTharinduDR <rhtdranasinghe@gmail.com>2020-10-13 22:13:49 +0300
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@@ -87,3 +87,34 @@ Both architectures in TransQuest outperforms OpenKiwi in all the language pairs.
| | SiameseTransQuest | | | |
| | OpenKiwi | 0.5058 | 0.1470 | 0.1814 |
+## [WMT 2019 QE Task 1: Sentence-Level QE](http://www.statmt.org/wmt20/quality-estimation-task.html)
+TThe participating systems are expected to predict the sentence-level HTER score (the percentage of edits needed to fix the translation)
+
+To run the experiments for each language, please run this command from the root directory of TransQuest.
+
+```bash
+python -m examples.wmt_2019.<language-pair>.<architecture>
+```
+
+Language Pair options : en_ru (English-Russian), en_de (English-German)
+
+Architecture Options : trans_quest (MonoTransQuest), siamese_trans_quest (SiameseTransQuest).
+
+As an example to run the experiments on English-Russian with MonoTransQuest architecture, run the following command.
+
+```bash
+python -m examples.wmt_2019.en_ru.trans_quest
+```
+
+### Results
+Both architectures in TransQuest outperforms OpenKiwi in all the language pairs. Furthermore, TransQuest won this task in all the language pairs.
+
+| Language Pair | Algorithm | Pearson | MAE | RMSE |
+|:-----------------------:|--------------------- | -------: | --------:| --------: |
+| English-German |**MonoTransQuest** |**0.4994**|**0.1486**| 0.1842 |
+| | SiameseTransQuest | | | |
+| | OpenKiwi | 0.3916 | 0.1500 | 0.1896 |
+| English-Russian |**MonoTransQuest** |**0.6119**|**0.1351**|**0.1681** |
+| | SiameseTransQuest | | | |
+| | OpenKiwi | 0.5058 | 0.1470 | 0.1814 |
+