Many textbook proofs are essentially human-readable representations of natural deduction proofs. Terms in dependent type theory provide formally checkable representations of natural deduction proofs. We show how the new mathematical assistant system Scunak can be used to verify a textbook proof by translating the LTEX version into a proof term in a dependent type theory. We also show how Scunak...

The majority of the world’s languages have little to no NLP resources or tools. This is due to a lack of training data (“resources”) over which tools, such as taggers or parsers, can be trained. In recent years, there have been increasing efforts to apply NLP methods to a much broader swathe of the worlds languages. In many cases this involves bootstrapping the learning process with enriched or...

Language resources extracted from structured data (e.g. Linked Open Data) have already been used in various scenarios to improve conventional Natural Language Processing techniques. The meanings of words and the relations between them are made more explicit in RDF graphs, in comparison to human-readable text, and hence have a great potential to improve legacy applications. In this paper, we des...

The next phase of the Web, as represented in this book's movement towards the "Semantic Web", lies in encoding properties of and relationships between, objects represented by information stored on the Web. It is envisioned that authors of pages include this semantic information along with human-readable Web content, perhaps with some machine assistance in the encoding. Parsing unstructured natu...

A new Python API, integrated within the NLTK suite, offers access to the FrameNet 1.7 lexical database. The lexicon (structured in terms of frames) as well as annotated sentences can be processed programatically, or browsed with human-readable displays via the interactive Python prompt.

In the paper, we present the latest results of the process of final work on preparing the second stable version of the large lexicon of Czech verb valencies named VerbaLex. VerbaLex lexicon is developed at the Masaryk University NLP Centre for the last three years. The current stage of this unique language resource aims at full interconnection with the pivot world semantic network, the Princeto...