Each year the Conference on Computational Natural Language Learning (CoNLL) 1
features a shared task, in which participants train and test their systems on exactly the same …

Although there are a couple of open-source language processing pipelines available for
Hungarian, none of them satisfies the requirements of today's NLP applications. A language …

In this paper we introduce a multilingual Named Entity Recognition (NER) system that uses
statistical modeling techniques. The system identifies and classifies NEs in the Hungarian …

The major aim of the Szeged Treebank project was to create a high-quality database of
syntactic structures for Hungarian that can serve as a golden standard to further research in …

In the world of non-proprietary NLP software the standard, and perhaps the best, HMM-
based POS tagger is TnT (Brants, 2000). We argue here that some of the criticism aimed at …

This paper presents a set of industrial-grade text processing models for Hungarian that
achieve near state-of-the-art performance while balancing resource efficiency and accuracy …

A highly accurate Named Entity (NE) corpus for Hungarian that is publicly available for
research purposes is introduced in the paper, along with its main properties. The results of …

Most morphologically rich languages with free word order use case systems to mark the
grammatical function of nominal elements, especially for the core argument functions of a …

Frequency dictionaries play an important role both in psycholinguistic experiment design
and in language technology. The paper describes a new, freely available, web-based …

Owing to the growing need of acquiring medical data from clinical records, processing such
documents is an important topic in natural language processing (NLP). However, for general …