| |
| |
| |
| |
| """ |
| English-Thai Machine Translation |
| |
| from VISTEC-depa Thailand Artificial Intelligence Research Institute |
| |
| Website: https://airesearch.in.th/releases/machine-translation-models/ |
| """ |
| import os |
|
|
| from fairseq.models.transformer import TransformerModel |
| from sacremoses import MosesTokenizer |
|
|
| from pythainlp.corpus import download, get_corpus_path |
|
|
| _EN_TH_MODEL_NAME = "scb_1m_en-th_moses" |
| |
| _EN_TH_FILE_NAME = "SCB_1M-MT_OPUS+TBASE_en-th_moses-spm_130000-16000_v1.0" |
|
|
| _TH_EN_MODEL_NAME = "scb_1m_th-en_spm" |
| |
| _TH_EN_FILE_NAME = "SCB_1M-MT_OPUS+TBASE_th-en_spm-spm_32000-joined_v1.0" |
|
|
|
|
| def _get_translate_path(model: str, *path: str) -> str: |
| return os.path.join(get_corpus_path(model, version="1.0"), *path) |
|
|
|
|
| def _download_install(name: str) -> None: |
| if get_corpus_path(name) is None: |
| download(name, force=True, version="1.0") |
|
|
|
|
| def download_model_all() -> None: |
| """ |
| Download all translation models in advance |
| """ |
| _download_install(_EN_TH_MODEL_NAME) |
| _download_install(_TH_EN_MODEL_NAME) |
|
|
|
|
| class EnThTranslator: |
| """ |
| English-Thai Machine Translation |
| |
| from VISTEC-depa Thailand Artificial Intelligence Research Institute |
| |
| Website: https://airesearch.in.th/releases/machine-translation-models/ |
| |
| :param bool use_gpu : load model using GPU (Default is False) |
| """ |
|
|
| def __init__(self, use_gpu: bool = False): |
| self._tokenizer = MosesTokenizer("en") |
|
|
| self._model_name = _EN_TH_MODEL_NAME |
|
|
| _download_install(self._model_name) |
| self._model = TransformerModel.from_pretrained( |
| model_name_or_path=_get_translate_path( |
| self._model_name, |
| _EN_TH_FILE_NAME, |
| "models", |
| ), |
| checkpoint_file="checkpoint.pt", |
| data_name_or_path=_get_translate_path( |
| self._model_name, |
| _EN_TH_FILE_NAME, |
| "vocab", |
| ), |
| ) |
| if use_gpu: |
| self._model = self._model.cuda() |
|
|
| def translate(self, text: str) -> str: |
| """ |
| Translate text from English to Thai |
| |
| :param str text: input text in source language |
| :return: translated text in target language |
| :rtype: str |
| |
| :Example: |
| |
| Translate text from English to Thai:: |
| |
| from pythainlp.translate import EnThTranslator |
| |
| enth = EnThTranslator() |
| |
| enth.translate("I love cat.") |
| # output: ฉันรักแมว |
| |
| """ |
| tokens = " ".join(self._tokenizer.tokenize(text)) |
| translated = self._model.translate(tokens) |
| return translated.replace(" ", "").replace("▁", " ").strip() |
|
|
|
|
| class ThEnTranslator: |
| """ |
| Thai-English Machine Translation |
| |
| from VISTEC-depa Thailand Artificial Intelligence Research Institute |
| |
| Website: https://airesearch.in.th/releases/machine-translation-models/ |
| |
| :param bool use_gpu : load model using GPU (Default is False) |
| """ |
|
|
| def __init__(self, use_gpu: bool = False): |
| self._model_name = _TH_EN_MODEL_NAME |
|
|
| _download_install(self._model_name) |
| self._model = TransformerModel.from_pretrained( |
| model_name_or_path=_get_translate_path( |
| self._model_name, |
| _TH_EN_FILE_NAME, |
| "models", |
| ), |
| checkpoint_file="checkpoint.pt", |
| data_name_or_path=_get_translate_path( |
| self._model_name, |
| _TH_EN_FILE_NAME, |
| "vocab", |
| ), |
| bpe="sentencepiece", |
| sentencepiece_model=_get_translate_path( |
| self._model_name, |
| _TH_EN_FILE_NAME, |
| "bpe", |
| "spm.th.model", |
| ), |
| ) |
| if use_gpu: |
| self._model.cuda() |
|
|
| def translate(self, text: str) -> str: |
| """ |
| Translate text from Thai to English |
| |
| :param str text: input text in source language |
| :return: translated text in target language |
| :rtype: str |
| |
| :Example: |
| |
| Translate text from Thai to English:: |
| |
| from pythainlp.translate import ThEnTranslator |
| |
| then = ThEnTranslator() |
| |
| then.translate("ฉันรักแมว") |
| # output: I love cat. |
| |
| """ |
| return self._model.translate(text) |
|
|
