This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

We consider large margin estimation in a broad range of prediction models where inference
involves solving combinatorial optimization problems, for example, weighted graph-cuts or …

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

This article describes a number of log-linear parsing models for an automatically extracted
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …

The statistical modelling of language, together with advances in wide-coverage grammar
development, have led to high levels of robustness and efficiency in NLP systems and made …

Estimating probability distribution is one of the core issues in the NLP field. However, in both
deep learning (DL) and pre-DL eras, unlike the vast applications of linear-chain CRF in …

This paper shows how to construct semantic representations from the derivations produced
by a wide-coverage CCG parser. Unlike the dependency structures returned by the parser …

Probabilistic modeling of lexicalized grammars is difficult because these grammars exploit
complicated data structures, such as typed feature structures. This prevents us from applying …

The book will appeal to scholars and advanced students of morphology, syntax,
computational linguistics and natural language processing (NLP). It provides a critical and …