Datasets:
practical message
Browse files
README.md
CHANGED
|
@@ -205,6 +205,8 @@ This dataset pairs UniMorph inflectional features with UniSegments segmentations
|
|
| 205 |
**This resource is a necessary component for evaluating Tokenizer Morphological Plausibility**, as introduced in *Tokenizer Morphological Plausibility* (https://arxiv.org/abs/2601.18536). The data generation process follows the implementation provided in the official repository of the paper:
|
| 206 |
https://github.com/abishekjs/morph-tok-eval/blob/main/data.py
|
| 207 |
|
|
|
|
|
|
|
| 208 |
## Sources
|
| 209 |
|
| 210 |
- UniMorph: https://unimorph.github.io/
|
|
|
|
| 205 |
**This resource is a necessary component for evaluating Tokenizer Morphological Plausibility**, as introduced in *Tokenizer Morphological Plausibility* (https://arxiv.org/abs/2601.18536). The data generation process follows the implementation provided in the official repository of the paper:
|
| 206 |
https://github.com/abishekjs/morph-tok-eval/blob/main/data.py
|
| 207 |
|
| 208 |
+
⚠️ Some language files are very large, so morphological plausibility evaluation can take a long time. This is an intrinsic limitation of the metric because it involves training IBM Models. You can reduce runtime by using fewer iterations or by down‑sampling the data (we don’t have a recommended down‑sampling strategy).
|
| 209 |
+
|
| 210 |
## Sources
|
| 211 |
|
| 212 |
- UniMorph: https://unimorph.github.io/
|