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.
Text preprocess (this preprocess service requires that the input text be in plain text format (file .txt) and UTF-8).
Basically, it carries out: (i) text segmentation into minor structural units (titles, paragraphs, sentences, etc.); (ii) detection of entities not found in dictionaries (numbers, abbreviations, URLs, emails, proper nouns, etc.); and (iii) the keeping of sequences of two or more words in a single block (dates, phrases, proper nouns, etc.).
POS tagger. (The input file must be in plain text format (file.txt) and UTF-8 encoded. The disambiguation process is done by a TreeTagger instance trained by the IULA.)
This package contains data used in the IWPT 2020 shared task. It contains training, development and test (evaluation) datasets. The data is based on a subset of Universal Dependencies release 2.5 (http://hdl.handle.net/11234/1-3105) but some treebanks contain additional enhanced annotations. Moreover, not all of these additions became part of Universal Dependencies release 2.6 (http://hdl.handle.net/11234/1-3226), which makes the shared task data unique and worth a separate release to enable later comparison with new parsing algorithms. The package also contains a number of Perl and Python scripts that have been used to process the data during preparation and during the shared task. Finally, the package includes the official primary submission of each team participating in the shared task.
This package contains data used in the IWPT 2021 shared task. It contains training, development and test (evaluation) datasets. The data is based on a subset of Universal Dependencies release 2.7 (http://hdl.handle.net/11234/1-3424) but some treebanks contain additional enhanced annotations. Moreover, not all of these additions became part of Universal Dependencies release 2.8 (http://hdl.handle.net/11234/1-3687), which makes the shared task data unique and worth a separate release to enable later comparison with new parsing algorithms. The package also contains a number of Perl and Python scripts that have been used to process the data during preparation and during the shared task. Finally, the package includes the official primary submission of each team participating in the shared task.
A tool for statistical corpus exploitation. It offers concordances, counts ngrams, extracts collocations and gives association, distribution and similarity measures.