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1
Better Neural Machine Translation by Extracting Linguistic Information from BERT ...
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2
Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation ...
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3
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing ...
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4
Analysis of Semi-Supervised Learning with the Yarowsky Algorithm ...
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5
Separating Dependency from Constituency in a Tree Rewriting System ...
Sarkar, Anoop. - : arXiv, 1998
Abstract: In this paper we present a new tree-rewriting formalism called Link-Sharing Tree Adjoining Grammar (LSTAG) which is a variant of synchronous TAGs. Using LSTAG we define an approach towards coordination where linguistic dependency is distinguished from the notion of constituency. Such an approach towards coordination that explicitly distinguishes dependencies from constituency gives a better formal understanding of its representation when compared to previous approaches that use tree-rewriting systems which conflate the two issues. ... : 7 pages, 6 Postscript figures, uses fullname.sty ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; D.3.1
URL: https://arxiv.org/abs/cs/9809028
https://dx.doi.org/10.48550/arxiv.cs/9809028
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6
Coordination in Tree Adjoining Grammars: Formalization and Implementation ...
Sarkar, Anoop; Joshi, Aravind. - : arXiv, 1996
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