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---
language:
- ca
- en
tags:
- translation
library_name: opennmt
license: mit
metrics:
- bleu
---
### Introduction
English - Catalan translation models based on OpenNMT.
### Usage
```pip3 install ctranslate2 pyonmttok```
Simple translation using Python:
```python
import ctranslate2
translator = ctranslate2.Translator("ctranslate2/")
translator.translate_batch([["▁Hello", "▁world", "!"]])
[[{'tokens': ['▁Hola', '▁món', '!']}]]
```
Simple tokenization & translation using Python:
```python
import pyonmttok
tokenizer=pyonmttok.Tokenizer(mode="none", sp_model_path = "tokenizer/sp_m.model")
tokenized=tokenizer.tokenize("Hello world!")
import ctranslate2
translator = ctranslate2.Translator("ctranslate2/")
translated = translator.translate_batch([tokenized[0]])
print(tokenizer.detokenize(translated[0][0]['tokens']))
Hola món!
```
## Benchmarks
| testset | BLEU |
|-----------------------|-------|
| Tatoeba-test.zho.eng | 45.2 |
|