Dependency grammar is a descriptive and theoretical tradition in linguistics that can be
traced back to antiquity. It has long been influential in the European linguistics tradition and …

Parsing unrestricted text is useful for many language technology applications but requires
parsing methods that are both robust and efficient. MaltParser is a language-independent …

Conditional maximum entropy (ME) models provide a general purpose machine learning
technique which has been successfully applied to fields as diverse as computer vision and …

This book introduces formal grammar theories that play a role in current linguistic theorizing
(Phrase Structure Grammar, Transformational Grammar/Government & Binding, Generalized …

We present a stochastic parsing system consisting of a Lexical-Functional Grammar (LFG), a
constraint-based parser and a stochastic disambiguation model. We report on the results of …

Reflecting an increased need for stochastic parse selection models over hand-built linguistic
grammars and a lack of appropriately detailed training material, we present the Linguistic …

Crowdsourcing allows users to offload tedious work to an on-demand workforce. However,
the time saved by the requesters is often offset by the time they must spend preparing …

Abstract The LinGO Redwoods initiative is a seed activity in the design and development of
a new type of treebank. While several medium-to large-scale treebanks exist for English …

In this paper we present FoLiA, a Format for Linguistic Annotation, and conduct a
comparative study with other annotation schemes, including the Linguistic Annotation …

Analysis of political communication is an important aspect of political research. Thematic
content analysis has yielded considerable success both with manual and automatic coding …