Back to Results
First PageMeta Content
Syntax / Statistical natural language processing / Grammar / Parse tree / Statistical machine translation / Parsing / Lexical item / Natural language processing / B-tree / Linguistics / Computational linguistics / Machine translation


Using Dependency Order Templates to Improve Generality in Translation Arul Menezes and Chris Quirk Microsoft Research One Microsoft Way, Redmond, WA 98052, USA {arulm, chrisq}@microsoft.com
Add to Reading List

Document Date: 2007-05-18 09:55:43

Open Document

File Size: 148,86 KB

Share Result on Facebook

City

Prague / /

Company

Microsoft / /

/

Event

Product Issues / Product Recall / /

IndustryTerm

phrasal and treelet systems / order template systems / search space leads / search space restriction / approximate beam search moving bottom-up / large search space / machine translation systems / transduction systems / phrasal systems / search error / search space / search time / reduced search error / drastic search space reduction / search algorithms / statistical machine translation systems / /

NaturalFeature

Dale et al. / /

Organization

VB RB / European Parliament / Association for Computational Linguistics / /

Person

Abdessamad Echihabi / David Chiang / Liang Chiang / Arul Menezes / Christof Monz / Todd Ward / Marcel Dekker / Salim Roukos / Colin Cherry / Daniel Marcu / Chris Quirk / Richard Ney / Wei-Jing Zhu / Michel / Aravind Joshi / Kristina Toutanova / Wei Wang / Huang / Mark Hopkins / Hermann Ney / Franz Josef / Philipp Monz / Jonathan Knight / Kevin Knight / Franz Josef Och / /

Position

Pharaoh / representative / Forward / hierarchical phrase-based model for statistical machine translation / domains Pharaoh / /

Product

0.17 0.20 0.20 4gm 0.15 0.15 0.16 0.10 0.12 0.13 Table / Europarl / Further insight / /

ProgrammingLanguage

VB / /

PublishedMedium

Computational Linguistics / /

Technology

Natural Language Processing / machine translation / search algorithms / /

SocialTag