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| author | TharinduDR <rhtdranasinghe@gmail.com> | 2021-05-08 13:19:00 +0300 |
|---|---|---|
| committer | TharinduDR <rhtdranasinghe@gmail.com> | 2021-05-08 13:19:00 +0300 |
| commit | c048d7107e0ba2db503cf54360059fcc3350241a (patch) | |
| tree | 37cbe16f5d39b832254e903bd63c926b79cd7fe6 | |
| parent | b4669691b13849caa8a04f27268eb56e13cd0065 (diff) | |
057: Code Refactoring - Siamese Architectures
| -rw-r--r-- | README.md | 2 | ||||
| -rw-r--r-- | examples/sentence_level/wmt_2018/common/util/draw.py | 2 | ||||
| -rw-r--r-- | examples/sentence_level/wmt_2020_task2/common/util/draw.py | 6 |
3 files changed, 6 insertions, 4 deletions
@@ -8,7 +8,7 @@ With TransQuest, we have opensourced our research in translation quality estimat - Sentence-level translation quality estimation on both aspects: predicting post editing efforts and direct assessment. - Word-level translation quality estimation capable of predicting quality of source words, target words and target gaps. - Perform significantly better than current state-of-the-art quality estimation methods like DeepQuest and OpenKiwi in all the languages experimented. -- Pre-trained quality estimation models for fifteen language pairs. +- Pre-trained quality estimation models for fifteen language pairs are available in [HuggingFace.](https://huggingface.co/TransQuest) ## Table of Contents 1. **[Installation](https://tharindudr.github.io/TransQuest/install/)** - Install TransQuest locally using pip. diff --git a/examples/sentence_level/wmt_2018/common/util/draw.py b/examples/sentence_level/wmt_2018/common/util/draw.py index 3e91099..69ed48c 100644 --- a/examples/sentence_level/wmt_2018/common/util/draw.py +++ b/examples/sentence_level/wmt_2018/common/util/draw.py @@ -2,7 +2,7 @@ import matplotlib.pyplot as plt import pandas as pd from sklearn.metrics import mean_absolute_error -from examples.sentence_level.wmt_2018 import fit +from examples.sentence_level.wmt_2018.common.util.normalizer import fit from transquest.algo.sentence_level.monotransquest.evaluation import pearson_corr, spearman_corr, rmse diff --git a/examples/sentence_level/wmt_2020_task2/common/util/draw.py b/examples/sentence_level/wmt_2020_task2/common/util/draw.py index 9bab846..12c4238 100644 --- a/examples/sentence_level/wmt_2020_task2/common/util/draw.py +++ b/examples/sentence_level/wmt_2020_task2/common/util/draw.py @@ -1,11 +1,13 @@ import pandas as pd from sklearn.metrics import mean_absolute_error -from examples.sentence_level.wmt_2020_task2.common.util import fit -from transquest.algo.monotransquest.evaluation import pearson_corr, spearman_corr, rmse + import matplotlib.pyplot as plt +from examples.sentence_level.wmt_2020_task2.common.util.normalizer import fit +from transquest.algo.sentence_level.monotransquest.evaluation import pearson_corr, spearman_corr, rmse + def draw_scatterplot(data_frame, real_column, prediction_column, path, topic): data_frame = data_frame.sort_values(real_column) |