File size: 1,526 Bytes
14d59f4 983bde2 14d59f4 983bde2 008b5c0 983bde2 008b5c0 983bde2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
---
license: cc-by-nc-sa-4.0
language:
- en
- de
- fr
- zh
- ja
- ro
tags:
- word alignment
- multilingual
- translation
---
# Model Description
Refer to [https://github.com/qiyuw/WSPAlign](https://github.com/qiyuw/WSPAlign) and [https://github.com/qiyuw/WSPAlign.InferEval](https://github.com/qiyuw/WSPAlign.InferEval) for details.
# Qucik Usage
First clone inference repository:
```
git clone https://github.com/qiyuw/WSPAlign.InferEval.git
```
Then install the requirements following [https://github.com/qiyuw/WSPAlign.InferEval](https://github.com/qiyuw/WSPAlign.InferEval). For inference only `transformers`, `SpaCy` and `torch` are required.
Finally, run the following example:
```
python inference.py --model_name_or_path qiyuw/WSPAlign-ft-kftt --src_lang ja --src_text="私は猫が好きです。" --tgt_lang en --tgt_text="I like cats."
```
Check `inference.py` for details usage.
# Citation
Cite our paper if WSPAlign helps your work:
```bibtex
@inproceedings{wu-etal-2023-wspalign,
title = "{WSPA}lign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction",
author = "Wu, Qiyu and Nagata, Masaaki and Tsuruoka, Yoshimasa",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.621",
pages = "11084--11099",
}
``` |