Our service-based multi-lingual NLG engine for the generation of continuous text is in productive use again. This time, we generate over 400 regionally specific reports about the local developments on the labour market for a large publishing group in Germany based on continually updated statistics. In addition to the reports about the most recent figures, this also includes context-related analyses of trend developments and year-over-year comparisons.

Since the beginning of this year, LangTec consults and supports one of the leading providers of structured domain data in the feasibility analysis for the implementation of a fully automated text generation solution. Strategic objective is the creation of a globally integrated solution for the automated generation of reports in several languages. This project underlines the strategic focus, which the automated generation of texts (NLG) has for LangTec in the new year.

We are very pleased about the contract for the development of a speech recognition solution for humanoid robots. The robots are supposed to be able to recognise spoken customer requests at the point of sale, semantically understand inquiries and subsequently process them correctly. LangTec contributes to this project many years of experience in linguistic analysis as well as in the automated generation of natural language.

We are happy to welcome Sebastian Beschke as part of our team. Sebastian brings along experience in Linux-related software development, machine learning and semantic parsing and will be supporting LangTec starting in January. Welcome, Sebastian!

We are looking forward to Marco Lengua, who will be supporting our team as an intern! Marco will be completing his compulsory internship in the area of software development with us bringing along versatile experience in different frontend and backend technologies. Welcome to LangTec, Marco!

We are very happy to welcome aboard our team Dr. Yannick Versley as a Senior Computational Linguist! Yannick brings along comprehensive experience in the areas of dependence parsing, machine learning and distributional semantics. Great that you are along for the ride, Yannick!

We are pleased with the continuation of the exciting collaboration with Otto GmbH. In a data science project, we will be supporting Otto GmbH in the comprehensive and systematic analysis of their data collections.

In this interview from May 2016, Dr. Patrick McCrae and Sebastian Metzner from TrendOne talk about automatic processing of linguistic data and about the possible applications that LangTec deals with.

http://blog.trendone.com/2016/05/24/kuenstliche-intelligenz-sprache-interview/