Rank table by POS accuracy
diff --git a/README.md b/README.md
index 50c5093..03c99ab 100644
--- a/README.md
+++ b/README.md
@@ -173,7 +173,7 @@
We evaluate the models for Accuracy and Macro F1 as well as processing speed
-1. Whole TIGER Corpus (50,472 sentences) - to test speed...
+1. TIGER Corpus (50,472 sentences) - to test speed...
| System | Lemma Acc | POS Acc | POS F1 | sents/sec |
|-------------------------------|-----------|-------------|------------|-----------|
@@ -203,11 +203,11 @@
| System | Lemma Acc | POS Acc | POS F1 |
|-----------------------|-----------|---------|--------|
+| Turku NLP | 81.97 | 97.07 | 86.58 |
| RNNTagger* | 93.87 | 95.89 | 82.86 |
-| TreeTagger* | 90.91 | 93.64 | 75.70 |
| SpaCy + Germalemma | 90.59 | 95.43 | 83.63 |
| SpaCy | 85.92 | 95.43 | 83.63 |
-| Turku NLP | 81.97 | 97.07 | 86.58 |
+| TreeTagger* | 90.91 | 93.64 | 75.70 |
| RNNTagger (original) | 93.87 | 90.41 | 80.97 |
| TreeTagger (original) | 79.65 | 88.17 | 73.83 |
@@ -248,7 +248,7 @@
python -m spacy convert -c json /path/to/Tiger.train.json out_dir_only/
```
- 3. Create a basic config file following [SpaCy API](https://nightly.spacy.io/usage/training#config-custom)
+ 3. Create a basic config file following [SpaCy API](https://nightly.spacy.io/usage/training#config-custom). An example is provided here in `ids-projects/DeReKo/spacy_train/basic_config_newOrth.cfg`.
4. Create the final Config file with:
```
python -m spacy init fill-config basic_config.cfg final_config.cfg