Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …

We present extensions to a continuous-state dependency parsing method that makes it
applicable to morphologically rich languages. Starting with a high-performance transition …

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

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

Hungarian is the stereotype of morphologically rich and free word order languages. Here,
we introduce magyarlanc, a natural language toolkit developed for the linguistic …

In this paper, we present the final version of a publicly available treebank of Finnish, the
Turku Dependency Treebank. The treebank contains 204,399 tokens (15,126 sentences) …

This first joint meeting on Statistical Parsing of Morphologically Rich Languages and
Syntactic Analysis of Non-Canonical English (SPMRL-SANCL) featured a shared task on …

Large-scale morphological databases provide essential input to a wide range of NLP
applications. Inflectional data is of particular importance for morphologically rich …

In the last two years, there has been a surge of word embedding algorithms and research on
them. However, evaluation has mostly been carried out on a narrow set of tasks, mainly …

Abstract e-magyar is a new toolset for the analysis of Hungarian texts. It was produced as a
collaborative effort of the Hungarian language technology community integrating the best …