Lingvanex Tranalator

Lingvanex Translator

Translate: Text, Voice, Camera

Follow these steps to complete your Lingvanex installation:

  • 1

    Run the Lingvanex installer

    Save the Lingvanex file

    Open the Lingvanex file to install

    Click the downloaded file on the bottom-left corner of your browser.

    Click Save File when prompted. Go to Downloads on the top-right corner to open the setup file.

    Choose Save File when prompted, then click OK.

    Go to Downloads on the top-right corner and click on the downloaded file.

    Go to your Downloads folder and click on the downloaded file.

  • 2

    Confirm the installation

    Open the Lingvanex file to install

    Click Allow on the system dialog window to approve the start of your Lingvanex installation.

    Go to Downloads on the top-right corner to open the setup file and approve the installation.

    Click Yes on the system dialog window to approve the start of your Lingvanex installation.

  • 3

    Follow setup instructions

    Click the button in the installer window to begin installation.

Click this file to start installing Lingvanex
Click this file to start installing Lingvanex

Карьера

Сложные задачи с хорошей зарплатой. Команда профессионалов

  • Специалист по анализу данных (Data Scientist)

    Requirements

     

    • Опыт работы с алгоритмами обработки естественного языка и машинного обучения
    • Понимание концепций и этапов работы с большими данными в реальном мире, от понимания проблем, связанных с конкретной областью, подготовки данных, обработки данных, связанных с поездками, интеграции данных, структур данных для машинного обучения, моделирования данных и алгоритмов AI/ML; сильные знания и навыки в области разработки программного обеспечения и науки о данных.
    • Опыт кодирования и отладки нейронных сетей глубокого обучения для обработки текста в PyTorch, Keras и/или TensorFlow
    • Опыт работы с Perl, Python или другим скриптовым языком; использование командной строки
    • Знание на высоком уровне различных методов машинного обучения и ключевых параметров, влияющих на их эффективность
    • Экспертные знания различных аналитических инструментов и методов с умением их использовать
    • Выдающиеся навыки программирования и статистического моделирования
    • Понимание распределенных файловых систем, масштабируемых хранилищ данных, распределенных вычислений и связанных с ними технологий (Spark, Hadoop и др.); опыт внедрения методов MapReduce, обработки данных в памяти и др.

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  • Computational Linguist

    Requirements

    • Degree in Computational linguistics
    • Fluent in one of the following languages: Chinese Traditional, Cantonese, Mandarin, Italian, Japanese, Portuguese, German, French, English
    • Excellent knowledge of structural aspects of the language (syntax, semantics, phonology, phonetics)
    • Strong linguistic comprehension
    • Experience in some of the following areas: text processing and construction of corpora in unfamiliar languages; processing of large text collections with standard NLP tools for parsing, entity extraction, POS tagging, topic discovery and classification (such as sentiment analysis), and natural language understanding; tuning hyper-parameters of existing NLP models for domain-specific data sets; computational manipulation and analysis of natural language documents using statistical models; experimenting with large corpora for developing and testing advanced NLP algorithms
    • Previous  working experience with language data (e.g. research, analysis, translation, review)
    • Ability to program in Python, Perl, or other scripting language; comfort with work in a Linux environment
    • Familiarity with common NLP and ML toolkits such as Stanford CoreNLP, OpenNLP, NLTK, scikit-learn, and Tensorflow
    • Experience using OS X or iOS software is a plus
    • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions
    • Good organizational and analytical skills
    • Excellent English language skills, other language skills are appreciated
    • Strong communication skills, attention to details, and proven ability to manage priorities
    • An ideal candidate has experience and passion for working with language data and developing natural language processing code specific to the native language

    What you will do:

    • Develop new applications of natural language processing
    • Collect, curate, and analyze natural language corpora for a variety of NLP and text analytic tasks
    • Perform metrics-based evaluations of new technologies from research organizations to determine potential contributions
    • Work closely with software developers,  senior investigators, program managers, researchers, and data analysts to design and optimize a software platform to produce and analyze results, disseminate findings, and contribute to publications and presentations

    Apply CV

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