Statistical parsers are e ective but are typically limited to producing projective dependencies
or constituents. On the other hand, linguisti-cally rich parsers recognize non-local relations …

We introduce a new method for incremental shift-reduce parsing of discontinuous
constituency trees, based on the fact that discontinuous trees can be transformed into …

Less-configurational languages such as German often show not just morphological variation
but also free word order and nonprojectivity. German is not exceptional in this regard, as …

The combined use of neural scoring systems and BERT fine-tuning has led to very high
results in many natural language processing (NLP) tasks. These high results raise two …

Syntactic parsing is essential in natural-language processing, with constituent structure
being one widely used description of syntax. Traditional views of constituency demand that …

Automatic dependency annotations have been used in all kinds of language applications.
However, there has been much less exploitation of dependency annotations for the linguistic …

This thesis applies the Data-Oriented Parsing framework in two areas: parsing & literature.
The data-oriented approach rests on the assumption that re-use of chunks of training data …

to-Japanese translation, BLEU (Papineni et al., 2002), the de facto standard evaluation
metric for machine translation (MT), has very weak correlation with human judgments (Goto …

Human language processing is incremental. In this dissertation, I explore how an
incremental perspective can help us clarify our understanding of transformational syntax …

Cet article propose d'analyser les apports d'un modèle de langue pré-entraîné de type
BERT (bidirectional encoder representations from transformers) à l'analyse syntaxique en …