UD_Italian-VIT

Treebank card from UD release 2.18: metadata and texts come from UD_Italian-VIT/README.md; size is counted by streaming the .conllu files and checked against the release stats.xml. Generated by tools/treebanks build; do not edit by hand. Papers: Papers: UD_Italian-VIT; seeds: seeds/; converter: convert.md.

Annotation layers

UD scale: manual native — annotated by hand directly in UD; converted from manual — converted from manual annotation in another scheme; converted with corrections — converted and partly corrected by hand; automatic with corrections — automatic, with partial manual corrections; automatic — automatic; not available — the layer is absent.

Size

Tokens are surface tokens (Spanish vámonos is one), words are syntactic words (vamos + nos); multiword tokens are those split into several words; empty nodes are the N.M nodes of the enhanced graph.

Summary

The UD_Italian-VIT corpus was obtained by conversion from VIT (Venice Italian Treebank), developed at the Laboratory of Computational Linguistics of the Università Ca' Foscari in Venice (Delmonte et al. 2007; Delmonte 2009; rondelmo.it/resource/VIT/Browser-VIT/index.htm).

Introduction

The VIT is the effort of the collaboration of people working at the Laboratory of Computational Linguistics (LCL) of the University of Venice in the years 1995-2005. It is partly the result of annotation carried out and partly related to the development of a lexicon, a morphological analyzer, a tagger, a deep parser of Italian. All these resources were finally ready at the beginning of the 90s when the LCL got involved in the first Italian national projects.

VIT originated as a constituency based treebank following the theoretical framework described in (Delmonte et al. 2007), and was later converted into a dependency representation in ConLL-X format (Delmonte 2009). The annotation follows general X-bar criteria with 29 constituency labels and 102 PoS tags. VIT is also made available in a broad annotation version with 10 constituency labels and 22 PoS tags for machine learning purposes. The format is plain text with square bracketing and a UPenn style version which is readable by the open source query language has been also provided. The VIT contains about 272,000 words distributed over six different domains, and this is what makes it so relevant for the study of the structure of Italian language. VIT includes linguistic materials of diverse nature, extracted from five different text genres: news (170,000 words), burocratic (20,000 words), political (40,000 words), Economic and financial (12,000 words), scientific (20,000 words) and literary (10,000 words) genres (Delmonte et al. 2007). In addition, some 60,000 tokens of spoken dialogues in different Italian varieties were annotated.

Similarly to what we did for other Italian treebanks, the UD version of the VIT treebank was obtained by first converting to an unriched version of the MIDT (Merged Italian Dependency Treebank) scheme (Bosco, Montemagni, Simi 2012). Then a further conversion step from MIDT+ to UDv2 was performed. Conversion was followed by a series of semi-automatic harmonization steps, in order to compensate for several differences in the use of the target annotation scheme with respect to the other Italian treebanks. The splitting into training, devel and test was done maintaining as much as possible the original sequence and respecting the proportions indicated in the guidelines (80%, 10%, 10%).

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/it/vit/