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R-grams: Unsupervised Learning of Semantic Units in Natural Language

R-grams: Unsupervised Learning of Semantic Units in Natural Language

14 August 2018
Ariel Ekgren
Amaru Cuba Gyllensten
Magnus Sahlgren
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Papers citing "R-grams: Unsupervised Learning of Semantic Units in Natural Language"

2 / 2 papers shown
Title
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,748
0
26 Sep 2016
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,981
0
04 Mar 2010
1