After eight years of sustainable growth it was finally time for a delicious Korean lunch again. We chucked ourselves into cabs and headed for LangTec’s preferred Korean restaurant near the Reeperbahn red-light district. The kitchen treated us opulently and no one had to go home hungry …
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More top-notch e-Commerce with Machine Learning and Text Analytics from LangTec
We are pleased to report the continuation and expansion of our consultancy engagement in machine learning and text analytics with one of the leading e-commerce providers worldwide. Starting in March, we will have three senior experts working on semantically complex information extraction from various data streams.
For our Christmas Party 2018 we chose a very special setting this time: The whole team came together for a private screening of one of our favourite French movies. Much fun was had. After this cinematographically intense experience, the party continued in a wonderful near-by French restaurant with exquisite food and wine (alas, no surviving footage of that) …Read More
IT Department of Dax-Listed Corporation Chooses LangTec
Max Planck Society (MPG) selects LangTec
In the context of a recently conducted public tender the Max Planck Society has selected LangTec as their development partner. The objective of this collaboration planned to extend over one year is the development of a browser plugin for the Max Planck Institute for Human Development in Berlin (MPIB). The plugin shall automatically detect, analyse and visualise statistical expressions in web-based content.Read More
LangTec aims for the sky
Celebrating the finale of this beautiful summer, the team from LangTec team went climbing in the shrouds of the museum ship Rickmer Rickmers. Fantastic weather allowed us to admire a beautiful panoramic view over the harbour of Hamburg. After that, we enjoyed Indian-Ayurvedic cuisine in the restaurant Maharaja.
Taking Information Extraction from OCR to the Next Level
We are thrilled to have received the formal commission to expand our machine-learning-based solution for information extraction from scanned-in personal documents. After eliminating major competitors from the bidding process we can now spend all our attention on driving extraction accuracies towards the 100% mark.
Multilingual Text Generation (NLG) for a Google-funded Start-Up
The events in recent years have highlighted the need for accurate and truthful election forecasting. LangTec is therefore extremely pleased to be able to make a contribution in this sector. Partnering with a Google-funded start-up from Munich (Google News Initiative) we will use our powerful NLG engine TextWriter to produce up-to-date reports on pre-election polls and surveys across numerous countries and languages. Our NLG core technology TextWriter not only generates human-like texts, it also provides deep analytical insights instantaneously.
Great to have you join us, Dr. Christian Betz!
We are super-pleased indeed to have Dr. Christian Betz join us as a senior member of staff. Chris holds a PhD in artificial intelligence and brings to the table many years of experice in software engineering, software architecture and machine learning (ML). This is gonna be really great!
Need Massive Amounts of Training Data for Machine Learning? Come and Meet DataGenerator!
Gone are the days when machine learning (ML) was limited by too few training data. Many use cases today require machine learning algorithms to learn complex patterns from huge amounts of training data. In most use cases, however, these training data are hard to come by, especially when dealing with highly personal or confidential document types such as IDs, insurance contracts or social security cards.
To remedy this, LangTec has created DataGenerator, a customised AI solution for generating massively varied amounts of training data based on a very small number of representative sample documents. DataGenerator permits to generate literally hundreds of thousands of unique document instances based on which even the most data-hungry learning algorithms will have enough to munch on.