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Use AI matching to instantly find and hire professional notarized translation specialists for any language pair on the Smartcat Marketplace.

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Rakibul Hasan

Notarized translation specialist
from Dhaka

rating

10.0

(9)

Greetings, I am Rakibul Hasan, from Bangladesh, a native Bengali speaker with 4 years of experience in the localization industry. Currently working with Amazon. Still looking forward to improving my experiences with you. Feel free to reach me. Thanks & Regards, Rakibul Hasan

Hanna Zysnarska

Notarized translation specialist
from Watsonia

rating

10.0

(1)

I am a freelance German/English <> Polish translator specialising in technical, marketing and community translations. I also hold credentials of a NAATI Certified Translator (English to Polish) and a NAATI Recognised Practising Translator (German to Polish), for the latter as the only translator with such credentials in Australia. I am a member of POLSiT (the Australian Institute of the Polish Language Interpreters and Translators) and AUSIT (the Australian Institute of Interpreters and Translators).

Andreea Stancu

Notarized translation specialist
from Timisoara

rating

10.0

(1)

Experienced Translator and Interpreter with a demonstrated history in the translation and localization industry. Strong information technology professional with post graduate studies, focused also in Business Management (lead a team of 20+) and Market Research (both as Project Manager and as Outsourcer).

Manuel Jesus Munoz Gomez

Notarized translation specialist
from Sevilla

rating

10.0

(5)

I consider myself a perfectionist who likes to do his job optimally and punctually. I am friendly, optimistic, and above all, a good partner in whom you can trust. I also enjoy multitasking and working as a team, as cooperation is essential for a company to thrive.

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Smartcat Marketplace FAQ

How does Smartcat AI translation work?
Smartcat AI translation works by utilizing a combination of machine learning algorithms and neural networks to automatically translate text from one language to another. Here is a simplified explanation of the process: 1. Training the AI: The AI model is trained using a large amount of bilingual data, including parallel texts and previously translated documents. This helps the AI learn the patterns and structures of different languages. 2. Preprocessing: Before translation, the text is preprocessed to remove any unnecessary elements, such as formatting tags or special characters. This ensures that the AI focuses on the actual content. 3. Sentence segmentation: The text is divided into individual sentences, as the AI translates one sentence at a time. This helps maintain context and improves translation accuracy. 4. Word alignment: The AI aligns the words in the source sentence with their corresponding words in the target language. This alignment helps the AI understand the relationships between words and phrases. 5. Neural network translation: The AI uses a neural network model, such as an encoder-decoder architecture, to generate the translation. The encoder processes the source sentence and converts it into a numerical representation, while the decoder generates the translated sentence based on this representation. 6. Post-processing: After translation, the text goes through post-processing steps to improve the quality. This may involve fixing grammar, adjusting word order, or applying language-specific rules. 7. Quality assessment: The translated text is evaluated using various metrics and quality checks to ensure accuracy and fluency. This helps identify any errors or areas that need improvement. 8. Continuous learning: The AI model is constantly updated and refined based on user feedback and new training data. This iterative process helps improve the translation quality over time. It's important to note that while AI translation has made significant advancements, it may still have limitations and may not always produce perfect translations. Human review and editing are often necessary to ensure the highest quality translations.