---
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	|