This dictionary is a curated list of Italian function words in a JSON Lines format text file, particularly useful for tasks such as POS-Tagging or Syntactic Parsing. It contains 999 single-word forms and 2501 multi-words forms. Each entry may have the following grammatical features: lemma, pos, mood, tense, person, number, gender, case, degree.
This dictionary is the second version of 11372/LRT-2288, a curated list of Italian function words in a JSON Lines format text file, particularly useful for tasks such as POS-Tagging or Syntactic Parsing. It contains 999 single-word forms and 2501 multi-words forms. Each entry may have the following grammatical features: lemma, pos, mood, tense, person, number, gender, case, degree. Compared to the first release, this version has a more clear JSON structure.
This dictionary is the third version of 11372/LRT-2288, a curated list of Italian function words in a JSON Lines format text file, particularly useful for tasks such as part of speech tagging or syntactic parsing. Compared to the previous release, this version includes some minor improvements.
KAMOKO is a structured and commented french learner-corpus. It addresses the central structures of the French language from a linguistic perspective (18 different courses). The text examples in this corpus are annotated by native speakers. This makes this corpus a valuable resource for (1) advanced language practice/teaching and (2) linguistics research.
The KAMOKO corpus can be used free of charge. Information on the structure of the corpus and instructions on how to use it are presented in detail in the KAMOKO Handbook and a video-tutorial (both in german). In addition to the raw XML-data, we also offer various export formats (see ZIP files – supported file formats: CorpusExplorer, TXM, WebLicht, TreeTagger, CoNLL, SPEEDy, CorpusWorkbench and TXT).
KAMOKO is a structured and commented french learner-corpus. It addresses the central structures of the French language from a linguistic perspective (18 different courses). The text examples in this corpus are annotated by native speakers. This makes this corpus a valuable resource for (1) advanced language practice/teaching and (2) linguistics research.
The KAMOKO corpus can be used free of charge. Information on the structure of the corpus and instructions on how to use it are presented in detail in the KAMOKO Handbook and a video-tutorial (both in german). In addition to the raw XML-data, we also offer various export formats (see ZIP files – supported file formats: CorpusExplorer, TXM, WebLicht, TreeTagger, CoNLL, SPEEDy, CorpusWorkbench and TXT).
KUK 0.0 is a pilot version of a corpus of Czech legal and administrative texts designated as data for manual and automatic assessment of accessibility (comprehensibility or clarity) of Czech legal texts.
The LatinISE corpus is a text corpus collected from the LacusCurtius, Intratext and Musisque Deoque websites. Corpus texts have rich metadata containing information as genre, title, century or specific date.
This Latin corpus was built by Barbara McGillivray.
In the version 4 of the corpus the high frequency lemmas have been manually corrected and sentence boundaries have been added.
GeCzLex 1.0 is an online electronic resource for translation equivalents of Czech and German discourse connectives. It contains anaphoric connectives for both languages and their possible translations documented in bilingual parallel corpora (not necessarily anaphoric). The entries have been interlinked via semantic annotation of the connectives (taken from monolingual lexicons of connectives CzeDLex and DiMLex) according to the PDTB 3 sense taxonomy and translation possibilities aquired from the Czech and German parallel data of the Intercorp project. The lexicon is the first bilingual inventory of connectives with linkage on the level of individual pairs (connective + discourse sense).
This package provides an evaluation framework, training and test data for semi-automatic recognition of sections of historical diplomatic manuscripts. The data collection consists of 57 Latin charters issued by the Royal Chancellery of 7 different types. Documents were created in the era of John the Blind, King of Bohemia (1310–1346) and Count of Luxembourg. Manuscripts were digitized, transcribed, and typical sections of medieval charters ('corroboratio', 'datatio', 'dispositio', 'inscriptio', 'intitulatio', 'narratio', and 'publicatio') were manually tagged. Manuscripts also contain additional metadata, such as manually marked named entities and short Czech abstracts.
Recognition models are first trained using manually marked sections in training documents and the trained model can then be used for recognition of the sections in the test data. The parsing script supports methods based on Cosine Distance, TF-IDF weighting and adapted Viterbi algorithm.
Migrant Stories is a corpus of 1017 short biographic narratives of migrants supplemented with meta information about countries of origin/destination, the migrant gender, GDP per capita of the respective countries, etc. The corpus has been compiled as a teaching material for data analysis.