Annotate is a web and desktop application that should simplify the process of transforming photos of manuscripts to a browsable collection. It also allows users to annotate parts of the displayed images.
In NLP Centre, dividing text into sentences is currently done with
a tool which uses rule-based system. In order to make enough training
data for machine learning, annotators manually split the corpus of contemporary text
CBB.blog (1 million tokens) into sentences.
Each file contains one hundredth of the whole corpus and all data were
processed in parallel by two annotators.
The corpus was created from ten contemporary blogs:
hintzu.otaku.cz
modnipeklo.cz
bloc.cz
aleneprokopova.blogspot.com
blog.aktualne.cz
fuchsova.blog.onaidnes.cz
havlik.blog.idnes.cz
blog.aktualne.centrum.cz
klusak.blogspot.cz
myego.cz/welldone
We present the Czech Court Decisions Dataset (CCDD) -- a dataset of 300 manually annotated court decisions published by The Supreme Court of the Czech Republic and the Constitutional Court of the Czech Republic.
The package contains Czech recordings of the Visual History Archive which consists of the interviews with the Holocaust survivors. The archive consists of audio recordings, four types of automatic transcripts, manual annotations of selected topics and interviews' metadata. The archive totally contains 353 recordings and 592 hours of interviews.
This editor was developed especially for the needs of the KAMOKO project (https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-3261). The editor allows the quick entry of example sentences and sentence variants as well as the corresponding speaker ratings.
KUKY is a curated selection of 224 Czech administrative and legal documents for readability research, stored in two JSON files.
The documents come partly from public databases (Office of the Ombudsman, courts) and from private sources (letters, public local administration announcements). Some documents come in documented draft-revision pairs.
They are manually enriched with a two-level annotation: "Relevance Stoplight" and "Speech Acts". This annotation mimics the way a plain-language expert scrutinizes a document before redesigning it for better readability: first, they closely read the entire document and detect problematic passages ("Relevance Stoplight"), classifying them as either incomprehensible or superfluous, or approving them as relevant.
In a second step, the editor works with the relevant text according to a genre-specific template ("Speech Acts").
At the metadata level, the documents are graded with respect to their readability, as perceived by experienced plain legal writing teachers.
The valency lexicon PDT-Vallex has been built in close connection with the annotation of the Prague Dependency Treebank project (PDT) and its successors (mainly the Prague Czech-English Dependency Treebank project, PCEDT). It contains over 11000 valency frames for more than 7000 verbs which occurred in the PDT or PCEDT. It is available in electronically processable format (XML) together with the aforementioned treebanks (to be viewed and edited by TrEd, the PDT/PCEDT main annotation tool), and also in more human readable form including corpus examples (see the WEBSITE link below). The main feature of the lexicon is its linking to the annotated corpora - each occurrence of each verb is linked to the appropriate valency frame with additional (generalized) information about its usage and surface morphosyntactic form alternatives.
The valency lexicon PDT-Vallex 4.0 has been built in close connection with the annotation of the Prague Dependency Treebank project (PDT) and its successors (mainly the Prague Czech-English Dependency Treebank project, PCEDT, the spoken language corpus (PDTSC) and corpus of user-generated texts in the project Faust). It contains over 14500 valency frames for almost 8500 verbs which occurred in the PDT, PCEDT, PDTSC and Faust corpora. In addition, there are nouns, adjectives and adverbs, linked from the PDT part only, increasing the total to over 17000 valency frames for 13000 words. All the corpora have been published in 2020 as the PDT-C 1.0 corpus with the PDT-Vallex 4.0 dictionary included; this is a copy of the dictionary published as a separate item for those not interested in the corpora themselves. It is available in electronically processable format (XML), and also in more human readable form including corpus examples (see the WEBSITE link below, and the links to its main publications elsewhere in this metadata). The main feature of the lexicon is its linking to the annotated corpora - each occurrence of each verb is linked to the appropriate valency frame with additional (generalized) information about its usage and surface morphosyntactic form alternatives. It replaces the previously published unversioned edition of PDT-Vallex from 2014.
The valency lexicon PDT-Vallex 4.5 is a part of the PDT-C 2.0 release https://hdl.handle.net/11234/1-5813. It is a slightly modified version of PDT-Vallex 4.0 from 2020 (as a part of PDT-C 1.0 corpus) for full compatibility with PDT-C 2.0 annotation, including a completely reworked reference IDs for the word and frame entries. PDT-Vallex has been built in close connection with the annotation of the Prague Dependency Treebank project (PDT) and its successors (mainly the Prague Czech-English Dependency Treebank project, PCEDT, the spoken language corpus (PDTSC) and corpus of user-generated texts in the project Faust). It contains over 14500 valency frames for almost 8500 verbs which occurred in the PDT, PCEDT, PDTSC and Faust corpora. In addition, there are nouns, adjectives and adverbs, linked from the PDT part only, increasing the total to over 20000 valency frames for almost 13000 words. All the corpora have been published in 2024 as the PDT-C 2.0 corpus with the PDT-Vallex 4.5 dictionary included; this is a copy of the dictionary published as a separate item for those not interested in the corpora themselves. It is available in electronically processable format (XML), and also in more human readable form including corpus examples (see the project and web browser links below, and the links to its main publications elsewhere in this metadata). The main feature of the lexicon is its linking to the annotated corpora - each occurrence of each verb is linked to the appropriate valency frame with additional (generalized) information about its usage and surface morphosyntactic form alternatives.
Annotation of discourse relations is a project related to the Prague Dependency Treebank 2.5. It represents a new manually annotated layer of language description, above the existing layers of the PDT, and it portrays linguistic phenomena from the perspective of discourse structure and coherence. and GACR P406/12/0658, GACR P406/2010/0875, GACR 405/09/0729, Ministry of Education ME10018, Ministry of Education LM2010013