Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

In this article, we describe a novel approach to sequence tagging for languages that are rich
in (eg orthographic) surface variation. We focus on lemmatization, a basic step in many …

This article deals with the lemmatization of Middle Dutch literature. This text collection—like
any other medieval corpus—is characterized by an enormous spelling variation, which …

In this paper, a lexicalized probabilistic graphical lemmatiser for isiXhosa, XGL, is presented.
An overview of isiXhosa lemmatisation issues is given, followed by a discussion on previous …

We consider the statistical lemmatization problem in which lemmatizers are trained on (word
form, lemma) pairs. In particular, we consider this problem for ancient Latin, a language with …

About half a century ago, artificial intelligence (AI) pioneers like Marvin Minsky embarked on
the ambitious project of emulating how the human mind encodes and decodes meaning …

Human language resources (HLR) and applications currently available in South Africa are of
a very basic nature, with lemmatisation being one of the basic. South African languages …

In any linguistic community certain conventions arise that regulate the language use of the
members within that community to a certain degree. These conventions readily pertain to …

Sentiment mining has been a popular and active NLP research topic for almost two decades
since commercialized enterprise and data-driven marketing ourished along with the …

We consider the statistical lemmatization problem in which lemmatizers are trained on (word
form, lemma) pairs. In particular, we consider this problem for ancient Latin, a language with …