Introduction of morphological-generator-ud-mt5-hungarian
Model Details of morphological-generator-ud-mt5-hungarian
Hungarian morphological generator model with mT5
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Pretrained model used: mT5
Prefix: "morph: "
UD-based generation
Limitations
max_source_length = 64
max_target_length = 32
Results
Model
emMorph
UD
mT5
95.53
94.66
Usage with pipeline
from transformers import pipeline
text2text_generator = pipeline(task="text2text-generation", model="NYTK/morphological-generator-ud-mt5-hungarian")
print(text2text_generator("morph: munka NOUN Case=Acc|Number=Sin")[0]["generated_text"])
Citation
If you use this model, please cite the following paper:
@inproceedings {morph-generator,
title = {Neural Morphological Generators for Hungarian},
booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2023)},
year = {2023},
publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
address = {Szeged, Hungary},
author = {Laki, László János and Ligeti-Nagy, Noémi and Vadász, Noémi and Yang, Zijian Győző},
pages = {331--340}
}
Runs of NYTK morphological-generator-ud-mt5-hungarian on huggingface.co
6
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
2
30-day runs
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