Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models Stephan Peitz1 and David Vilar2 and Hermann Ney1 1 Lehrstuhl f¨ur Informatik 6 2

First Page		Document Content
Machine translation Linguistics Formal languages Applied linguistics Computational linguistics Statistical machine translation Synchronous context-free grammar Parsing Language model Natural language processing Statistical natural language processing Science		Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models Stephan Peitz1 and David Vilar2 and Hermann Ney1 1 Lehrstuhl f¨ur Informatik 6 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Download Document from Source Website File Size: 166,54 KB Share Document on Facebook

	Increasing Usability of Spin-based C Code Verification Using a Harness Definition Language Leveraging Model-driven Code Checking to Practitioners Daniel Ratiu Andreas Ulrich DocID: 1xVPm - View Document
	Unbounded Model-Checking with Interpolation for Regular Language Constraints Graeme Gange, Jorge A. Navas, Peter J. Stuckey, Harald Søndergaard, and Peter Schachte The University of Melbourne {ggange,jnavas,pjs,harald,s DocID: 1xVMq - View Document
	Universal Language Model Fine-tuning for Text Classification Jeremy Howard∗ fast.ai University of San Francisco DocID: 1xVLw - View Document
	Language-level Symmetry Reduction for Probabilistic Model Checking Alastair F. Donaldson Alice Miller David Parker Computing Laboratory Department of Computing Science DocID: 1xVun - View Document
	Indian Education for All Model Teaching Units Language Arts - Elementary Level Volume One DocID: 1vpGj - View Document