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Muhammed Demir

Translation project manager
from İstanbul

10.0

(53)

As a passionate linguist, I made my debut in the translation and localization world in 2014, when I was only a freshman in the university. I started as an intern and ended up to be freelance translator at SDL Turkey for 2 years. During this period of time, I gained immense amount of experience and I learned how to use multiple translation tools. Following that, I worked for a transcription company and made transcriptions of voice records both in English and Turkish. Finally, I started working with Localex in 2017 and that was one of the best decisions I made regarding my profession. During my time in SDL plc. and Localex I made translations, reviews and proof-reading in a wide variety of fields such as law, IT, marketing, legal, medical, gaming. During my time in the university, I took translation classes on many different fields and I also added knowledge of German and Spanish to my arsenal. Verified by Localex.

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Anthony Wong

Translation project manager
from Hong Kong

10.0

(9)

Looking for a bilingual and multicultural translator with over 20 years of professional experience? Look no further! With expertise in IT and a native proficiency in Traditional Chinese (used in Hong Kong, Taiwan), as well as fluency in Simplified Chinese (Mandarin in China) acquired through over a decade of living in Beijing, I offer top-quality human translation services. Never miss a deadline with my commitment to 100% human translation, interpretation and post-editing, all while supporting English, Traditional Chinese, and Simplified Chinese. My portfolio speaks for itself, having worked on various subjects such as movies, games and marketing materials. Trust me to provide you with the highest quality translation services you deserve. I am the translator of the IT professional Using Docker book published by O'Reilly. I also volunteer to translate open source software in my free time. IELTS score: Reading: 9 (Highest) Listening: 9 (Highest) Writing: 7 Speaking: 7

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xtofnz

Translation project manager
from Auckland

10.0

(7)

Freelance translator and localization consultant, full member of the New Zealand Society of Translators and Interpreters (NZSTI) since 2002

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April Ann Stines

Translation project manager
from Riga

10.0

(136)

Hello! My name is Dr. April Stines and I am a seasoned Russian-English & German-English translator/proofreader. I've been working in the translation industry for many years. My specialization is in academic texts, legal documents and literature, but I cover many areas of translation: from blockchain to video games. A little about myself. I'm from the US, but now reside in Riga, Latvia and have a PhD in Slavic & East European Studies.

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Rachel Kremer

Translation project manager
from Kfar Saba

10.0

(320)

I'm a localization expert, involved in numerous localization projects for global companies. I've been doing localization for the past 15 years, and incorporate the principles of readability, transcreation and micro-copy in my work. I recently opened a new school for localization - Versio Academy, to teach and train the next generation of Hebrew localizators. I am a Google certified translator, Lead Linguist for Airbnb, Microsoft, Google and Yandex.Taxi.

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Anna Lagattolla

Translation project manager
from Florence

10.0

(4)

Bilingual Italian-German, I was defined a walking cat-tool by many colleagues. I speak English, German,Spanish, Portuguese,Dutch and of course Italian fluently, plus Arabic and French. What I adore most about languages, is that they allow you to define yourself in many ways and never miss a word to describe feelings and experiences. As Calvino said, without translation I would be limited to the borders of my country...

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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.