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Milena Lakic

English to Serbian (Latin) Conference translator
from Novi Sad

10.0

(21)

A freelance translator and interpreter with experience in localization as well as translating law, marketing, and finance texts from English and German into Serbian. Expected to finish MA in Conference Interpreting by the end of 2020. Open to exploring new fields and especially interested in transcreation.

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Manuel Miguel

Portuguese to Russian Conference translator
from

10.0

(1)

working with translations since 2014. I am fluent in Russian, French, English

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FRANCISCO JR JUAN

Tagalog to English Conference translator
from Bulacan

10.0

(1)

I am a Bookkeeper by profession, but I am also excellent with Data Entry and Internet Research. I have more than 8 years of work experience in a Financial Services Institution that provides microfinancing and financial assistance to SMEs. I also possess a variety of skills and knowledge in “product improvisation and description, marketing content strategy, and ability to create a data quality solution”. I always perform and adhere transparency, compliance, and truthfulness. But I am also an excellent English, Spanish and Tagalog Translator/Proofreader. I have more than 3 years of experience translating documents and conversations in proz.com and translated.net. My Native Tongue is Tagalog(Filipino) but I have an extensive knowledge of English communication, literature, idioms, expressions, written, verbal and understanding. My expertise in translating and proofreading documents mainly in Business, Financial, Legal, Websites, Product Manuals, etc.

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Iris Hernandez Zetter

English to Spanish Conference translator
from Adelaide

10.0

(1)

More than 15 years' experience multilingual professional and exceptional communicator. Lived in 4 continents, learnt 9 languages and travelled around the world. CERTIFIED LANGUAGES, STUDIES ABROAD AND PROFESSIONAL EXPERIENCE  Languages: Spanish (native speaker); advanced English (NAATI Certified Translator and Interpreter English-Spanish, practitioner ID CPN9DY87V), French and Italian. Intermediate German and Russian; basic Mandarin, Portuguese and Serbian. Studied in France, Italy and Russia. Stays in Ireland, UK, USA, South Africa and Australia.

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Jesus Maroto

English to Spanish Conference translator
from Granada

10.0

(2)

Translator (English, Spanish, Italian, Portuguese, French, Catalan, Russian into Spanish), Transcreator, Copywriter (award-winning), SEO specialist & Marketing Consultant with more than 20 years of experience working for top clients around the world. With a BA (Hons) in Translation, multiple courses in computer science, eMarketing and Intercultural studies, as well as Google-certified. Member of ASETRAD, TILP, IoL & IPA.

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Jie Ren

English to Chinese (simplified) Conference translator
from Shanghai/Hangzhou

10.0

(1)

simultaneous interpreter, consecutive interpreter, professional translator/editor, transcreator and copywriter

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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.