File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/abstr/05/h05-1036_abstr.xml
Size: 1,037 bytes
Last Modified: 2025-10-06 13:44:14
<?xml version="1.0" standalone="yes"?> <Paper uid="H05-1036"> <Title>Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pages 281-290, Vancouver, October 2005. c(c)2005 Association for Computational Linguistics Compiling Comp Ling: Practical Weighted Dynamic Programming and the Dyna Language[?]</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> Weighted deduction with aggregation is a powerful theoretical formalism that encompasses many NLP algorithms. This paper proposes a declarative specification language, Dyna; gives general agenda-based algorithms for computing weights and gradients; briefly discusses Dyna-to-Dyna program transformations; and shows that a first implementation of a Dyna-to-C++ compiler produces code that is efficient enough for real NLP research, though still several times slower than hand-crafted code.</Paragraph> </Section> class="xml-element"></Paper>