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Semantic Machine Translation Engine – solving major NLP problems empowered by semantics

  • Stage Product In Development
  • Industry IT Services
  • Location Seattle, WA, USA
  • Currency USD
  • Founded November 2012
  • Employees 2

Company Summary

LYLO does not research generic AI approaches for NLP. Instead, we use all NLP legacy (e.g. POS and Dependency parsing from Stanford, phrasal translation from Google, FrameNet from Berkeley, WordNet from Princeton) combined with proprietary grammar induction and semantic pattern building mechanisms. Our approach brings English - German pilot translation to best in class within 21 months. Customers - Google, Apple or as API for end users.


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    Vasyl Harasymiv

    MS in Quant Finance (University of St. Gallen), Statistics, fluent in 6 languages, software and software development management experience

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    Orin Hargraves

    Research Consultant at University of Colorado.

    Lexicographic Research: Large-scale NLP projects involving ontologies, paraphrasing, machine translation, and artificial intelligence. I have expert knowledge of English grammar, syntax and language patterns, WordNet, VerbNet, PropBank, and FrameNet.

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    Hiram Calvo

    Doctor in Computer Science at the National Polytechnic Institute of Mexico.

    Specialize in:

    • Automatic semantic correction
    • Parallel management of large sets of text
    • Tuning of Machine Learning