Image annotation tool is a web application that allows users to mark zones of interest in an image. These zones are then converted to TEI P5 code snippet that can be used in your document to connect the image and the text. This tool was developed to help students and teachers at the Faculty of Arts, Charles University to mark and annotate images of manuscripts.
Environmental impact assessment (EIA) is the formal process used to predict the environmental consequences of a plan. We present a rule-based extraction system to mine Czech EIA documents. The extraction rules work with a set of documents enriched with morphological information and manually created vocabularies of terms supposed to be extracted from the documents, e.g. basic information about the project (address, ID company, ...), data on the impacts and outcomes (waste substances, endangered species, ...), a final opinion. The documents Notice of Intent contains the section BI2 with the information on the scope (capacity) of the plan.
This toolkit comprises the tools and supporting scripts for unsupervised induction of dependency trees from raw texts or texts with already assigned part-of-speech tags. There are also scripts for simple machine translation based on unsupervised parsing and scripts for minimally supervised parsing into Universal-Dependencies style.
Source code of the first full and running version for the Malach Center User Interface, does not contain data or metadata fo the digital objects and resources.
This tool is the first morphological analyzer ever for this language.
The analyzer is a FST that produces all possible segmentations and tagging sequences in a word-by-word fashion.
This is a set of MSTperl parser configuration files and scripts for delexicalized parser transfer. They were used in the work reported in arXiv:1506.04897 (http://arxiv.org/abs/1506.04897), as well as several related papers. The MSTperl parser is available at http://hdl.handle.net/11234/1-1480
Netgraph is a graphically oriented client-server application for searching in linguistically annotated treebanks. The query language of Netgraph is simple and intuitive, yet powerful enough for treebanks with complex annotations schemes. The primary purpose of Netgraph is searching in the Prague Dependency Treebank 2.0, nevertheless it can be used for other treebanks as well.
Omorfi is free and open source project containing various tools and data for handling Finnish texts in a linguistically motivated manner. The main components of this repository are:
1) a lexical database containing hundreds of thousands of words (c.f. lexical statistics),
2) a collection of scripts to convert lexical database into formats used by upstream NLP tools (c.f. lexical processing),
3) an autotools setup to build and install (or package, or deploy): the scripts, the database, and simple APIs / convenience processing tools, and
4) a collection of relatively simple APIs for a selection of languages and scripts to apply the NLP tools and access the database
The SQAD database consists of 3301 records obtained from Czech Wikipedia articles. The record structure is following:
- the original sentence(s) from Wikipedia
- a question that is directly answered in the text
- the expected answer to the question as it appears in the original text
- the URL of the Wikipedia web page from which the original text was extracted
- name of the author of this SQAD record
Simple question answering database (SQAD) created from Czech Wikipedia. Each record of SQAD consist of four files (in vertical form provided with lemmatization and POS tagging) and two metadata files.