In the international scientific community, DFKI is recognized as one of the most important "Centers of Excellence" in the world for its proven ability to rapidly bring leading edge research to commercially relevant application solutions. DFKI GmbH has established a reputation for proactive and customer oriented work and is known both nationally and internationally as a competent and reliable partner for commercial innovation. Because of the increasingly short cycles of innovation in the field of information technology, the lines between research, application related development, and conversion to products are becoming blurred. This is why DFKI projects typically include the entire spectrum from basic application-based research to market and customer oriented development of product functions.
DFKI GmbH's Marketplace Listings
LangID - a tool for language identification in SMILA 0.7
The LangID tool provides as main functionality the automatic language identification of any text provided as input. It is based on an n-gram approach to language identification and therefore it is very quick. It can distinguish among a number of 26 l...
MDParser - a tool for dependency parsing in SMILA 0.7
MDParser stands for multilingual dependency parser and is a data-driven system, which can be used to parse text of an arbitrary language for which training data is available. The parser is able to create both unlabeled and labeled dependency structur...
KeeWee - a tool for keyphrase extraction in SMILA 0.7
KeeWee is a keyphrase extraction tool from abstract-like text paragraphs. It is based on an unsupervised learning approach and supports two different implementations: one using k-means clustering and another one using spectral clustering. Two baselin...
ConExt - a tool for conceptul hierarchy extraction in SMILA 0.7
ConExt is a tool for extraction of concept hierarchies between a certain number of terms refering to concepts relevant for a specific domain. It is based on the Formal Concept Analysis (FCA) approach to structure information into categories based on ...