Transfer learning, particularly approaches that combine multi-task learning with pre-trained
contextualized embeddings and fine-tuning, have advanced the field of Natural Language …

Given the benefits of syntactically annotated collections of transcribed speech in spoken
language research and applications, many spoken language treebanks have been …

This paper presents the SAGT Turkish–German code-switching treebank, and observations
and annotation challenges we encountered during its development. The treebank consists …

The field of Deep Learning (DL) has undergone explosive growth during the last decade,
with a substantial impact on Natural Language Processing (NLP) as well. Yet, compared to …

This paper presents practical and theoretical guidelines for the development of treebanks for
spoken languages in the UD and SUD annotation schemes. We discuss text-sound …

In this study, we have developed Universal Dependencies (UD) resources for spoken
Japanese in the Corpus of Everyday Japanese Conversation (CEJC). The CEJC is a large …

We present a syntactic dependency treebank for naturalistic child and child-directed spoken
English. Our annotations largely follow the guidelines of the Universal Dependencies project …

Code-switching dependency parsing stands as a challenging task due to both the scarcity of
necessary resources and the structural difficulties embedded in code-switched languages …

Dealing with low-resource languages is a challenging task, because of the absence of
sufficient data to train machine-learning models to make predictions on these languages …

This article aims to present a work in progress that proposes to describe, from the Universal
Dependencies (UD) project, the linguistic contact between the Warao language …