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The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models

3 May 2018
Noah Weber
L. Shekhar
Niranjan Balasubramanian
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Papers citing "The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models"

3 / 3 papers shown
Title
Data-driven Model Generalizability in Crosslinguistic Low-resource
  Morphological Segmentation
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Zoey Liu
Emily Tucker Prudhommeaux
25
4
0
05 Jan 2022
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Neural versus Phrase-Based Machine Translation Quality: a Case Study
L. Bentivogli
Arianna Bisazza
Mauro Cettolo
Marcello Federico
179
327
0
16 Aug 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
211
7,687
0
17 Aug 2015
1