has been possible before. This ‘universal ’ treebank is made freely available in order to facilitate research on multilingual dependency parsing. 1 1

The paper introduces an ongoing project for the development of a parallel treebank for Italian, English and French annotated in the pure dependency format of the Turin University Treebank, i.e. Parallel–TUT. We hypothesize that the major features of this annotation format can be of some help

Abstract: We present a new collection of treebanks for the Portuguese language, comprising five datasets that cover major types of grammatically annotated corpora: TreeBankPT, PropBankPT, DependencyBankPT, LogicalFormBankPT and DeepBankPT. This collection is the Portuguese part of a broader

The paper introduces an ongoing project for the development of a parallel treebank for Italian, English and French, i.e. Parallel–TUT, or simply ParTUT. For the development of this resource, both the dependency and constituency-based formats of the Italian Turin University Treebank (TUT) have been

This paper introduces the Prague Czech-English Dependency Treebank (PCEDT), a new Czech-English parallel resource suitable for experiments in structural machine translation. We describe the process of building the core parts of the resources – a bilingual syntactically annotated corpus

Abstract We present HamleDT 2.0 (HArmonized Multi-LanguagE Dependency Treebank). HamleDT 2.0 is a collection of 30 existing treebanks harmonized into a common annotation style, the Prague Dependencies, and further transformed into Stanford Dependencies, a treebank annotation style that became

We describe here our construction of lexical resources, tool creation, building of an aligned parallel corpus, and an approach to automatic treebank creation that we have been developing using Spanish data, based on projection of English syntactic dependency information across a parallel corpus.

english. Furthermore, the desired display language of each piece of information depends on the languages that each individual user can understand, the languages in which the documents and their metadata are available, and the locally available resources (fonts). DIENST 1 is a digital library search tool

. The desired display language of each piece of information depends on the languages that the user can understand, the languages in which the documents and their metadata are available, as well as the locally available resources (fonts). DIENST 1 is a digital library search tool developed at Cornell

into the new UD formalism, which we accomplish by taking a test-driven approach. We present parsing experiments with both formalisms. Additionally, we quantitatively compare the resulting Danish UD treebank to the other languages available in the UD project (v1.2), discussing construc-tions that are specific