Errors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems development using HTER methods to identify errors and human a...
Sherri L. Condon, Dan Parvaz, John S. Aberdeen, Ch...
Expert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input...
Marc Carmen, Paul Felt, Robbie Haertel, Deryle Lon...
In this paper I present the CLARIN-NL project, the Dutch national project that aims to play a central role in the European CLARIN infrastructure, not only for the preparatory phas...
In this paper we present LX-Parser, a probabilistic, robust constituency parser for Portuguese. This parser achieves ca. 88% f-score in the labeled bracketing task, thus reaching ...
Natural language processing technology has developed remarkably, but it is still difficult for computers to understand contextual meanings as humans do. The purpose of our work ha...