pythainlp.translate
The pythainlp.translate module is dedicated to machine translation capabilities for the PyThaiNLP library. It provides tools for translating text between different languages, making it a valuable resource for natural language processing tasks.
Modules
- class pythainlp.translate.Translate(src_lang: str, target_lang: str, engine: str = 'default', use_gpu: bool = False)[source]
Machine Translation
The Translate class is the central component of the module, offering a unified interface for various translation tasks. It acts as a coordinator, directing translation requests to specific language pairs and models.
- __init__(src_lang: str, target_lang: str, engine: str = 'default', use_gpu: bool = False) None[source]
- Parameters:
- **Options for engine*
default - The default engine for each language.
small100 - A multilingual machine translation model (covering 100 languages)
- Options for source & target language
th - en - Thai to English
en - th - English to Thai
th - zh - Thai to Chinese
zh - th - Chinese to Thai
th - fr - Thai to French
th - xx - Thai to xx (xx is language code). It uses small100 model.
xx - th - xx to Thai (xx is language code). It uses small100 model.
- Example:
Translate text from Thai to English:
from pythainlp.translate import Translate th2en = Translate('th', 'en') th2en.translate("ฉันรักแมว") # output: I love cat.
- pythainlp.translate.en_th.download_model_all() None[source]
Download all translation models in advance
This function facilitates the download of all available English to Thai translation models. It ensures that the required models are accessible for translation tasks, enhancing the usability of the module.
- class pythainlp.translate.en_th.EnThTranslator(use_gpu: bool = False)[source]
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)
The EnThTranslator class specializes in translating text from English to Thai. It offers a range of methods for translating sentences and text, enabling accurate and meaningful translations between these languages.
- translate(text: str) str[source]
Translate text from English to Thai
- Parameters:
text (str) – input text in source language
- Returns:
translated text in target language
- Return type:
- Example:
Translate text from English to Thai:
from pythainlp.translate import EnThTranslator enth = EnThTranslator() enth.translate("I love cat.") # output: ฉันรักแมว
- class pythainlp.translate.en_th.ThEnTranslator(use_gpu: bool = False)[source]
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)
Conversely, the ThEnTranslator class focuses on translating text from Thai to English. It provides functionality for translating Thai text into English, contributing to effective language understanding and communication.
- translate(text: str) str[source]
Translate text from Thai to English
- Parameters:
text (str) – input text in source language
- Returns:
translated text in target language
- Return type:
- Example:
Translate text from Thai to English:
from pythainlp.translate import ThEnTranslator then = ThEnTranslator() then.translate("ฉันรักแมว") # output: I love cat.
- class pythainlp.translate.zh_th.ThZhTranslator(use_gpu: bool = False, pretrained: str = 'Lalita/marianmt-th-zh_cn')[source]
Thai-Chinese Machine Translation
from Lalita @ AI builder
:param bool use_gpu : load model using GPU (Default is False)
The ThZhTranslator class specializes in translating text from Thai to Chinese (Simplified). This class is valuable for bridging language gaps between these two languages, promoting cross-cultural communication.
- translate(text: str) str[source]
Translate text from Thai to Chinese
- Parameters:
text (str) – input text in source language
- Returns:
translated text in target language
- Return type:
- Example:
Translate text from Thai to Chinese:
from pythainlp.translate import ThZhTranslator thzh = ThZhTranslator() thzh.translate("ผมรักคุณ") # output: 我爱你
- class pythainlp.translate.zh_th.ZhThTranslator(use_gpu: bool = False, pretrained: str = 'Lalita/marianmt-zh_cn-th')[source]
Chinese-Thai Machine Translation
from Lalita @ AI builder
:param bool use_gpu : load model using GPU (Default is False)
The ZhThTranslator class is designed for translating text from Chinese (Simplified) to Thai. It assists in making content accessible to Thai-speaking audiences by converting Chinese text into Thai.
- translate(text: str) str[source]
Translate text from Chinese to Thai
- Parameters:
text (str) – input text in source language
- Returns:
translated text in target language
- Return type:
- Example:
Translate text from Chinese to Thai:
from pythainlp.translate import ZhThTranslator zhth = ZhThTranslator() zhth.translate("我爱你") # output: ผมรักคุณนะ
- class pythainlp.translate.th_fr.ThFrTranslator(use_gpu: bool = False, pretrained: str = 'Helsinki-NLP/opus-mt-th-fr')[source]
Thai-French Machine Translation
Trained by OPUS Corpus
Model is from Language Technology Research Group at the University of Helsinki
BLEU 20.4
:param bool use_gpu : load model using GPU (Default is False)
Lastly, the ThFrTranslator class specializes in translating text from Thai to French. It serves as a tool for expanding language accessibility and promoting content sharing in French-speaking communities.
- translate(text: str) str[source]
Translate text from Thai to French
- Parameters:
text (str) – input text in source language
- Returns:
translated text in target language
- Return type:
- Example:
Translate text from Thai to French:
from pythainlp.translate.th_fr import ThFrTranslator thfr = ThFrTranslator() thfr.translate("ทดสอบระบบ") # output: "Test du système."