The goal of this paper is to provide an overview of the structure and contents of the soon-to-be available ORAL corpus, which combines previously published corpora (ORAL2006, ORAL2008 and ORAL2013) with newly transcribed material into a single conveniently accessible and more richly annotated resource, about 6 million running words in length. The recordings and corresponding transcripts span a decade between 2002 and 2011; most of them capture interactions of mutually well-acquainted speakers, in informal situations and natural settings. The corpus is complemented by amarginal portion of more formal data, mostly public talks. It is tagged and lemmatized, and an effort was made to adapt existing tools (targeted at written language) to yield better results on spoken data. We hope the availability of such a resource will spawn further discussions on the morphological and syntactic analysis of spoken language, perhaps resulting in more radical departures in the future from the part-of-speech classification inherited from the linguistic analysis of written language.
MorphoDiTa: Morphological Dictionary and Tagger is an open-source tool for morphological analysis of natural language texts. It performs morphological analysis, morphological generation, tagging and tokenization and is distributed as a standalone tool or a library, along with trained linguistic models. In the Czech language, MorphoDiTa achieves state-of-the-art results with a throughput around 10-200K words per second. MorphoDiTa is a free software under LGPL license and the linguistic models are free for non-commercial use and distributed under CC BY-NC-SA license, although for some models the original data used to create the model may impose additional licensing conditions.