@MISC{Weese10the, author = {Jonathan Weese and Chris Callison-burch}, title = {The}, year = {2010} }
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Abstract
As machine translation (MT) systems grow more complex and incorporate more linguistic knowledge, ������� � it becomes more difficult to evaluate independent pieces of the MT pipeline. Being able� � to������� � inspect�many ������� � of ������ � the intermediate �� � ������������ � data structures ������ � ����������� � used during ��MT ������ � decoding � � ������ � allows �� a��� � more ���fine-grained ��������� � �� � evaluation �� � �������� � of MT ��������� � performance, ���������helping � � ������� � to determine ���� � �� � which �� � ���parts ��������� � of the current ������ � ������������� � process are effective n���� � ������� � and which ���� � are����������� � not. In this ���� � article, �� � we ������������ � present an�� � overview k���� � ������ � of the visualization ���� � ������������ � tools������� � that are ���currently ���������� � distributed ���������with ��������� � the Joshua �� � �������� � (Li et al., � � 2009) ��� � � � MT �������� � decoder. �� We ���������� � explain ������������� � their use and��� � present �� � ������ � an example � � ����of ��� � how � � visually ���� � ����� � inspecting ��� � � ������� � the decoder’s ������ � ������ � data