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Still not there? Comparing Traditional Sequence-to-Sequence Models to
  Encoder-Decoder Neural Networks on Monotone String Translation Tasks

Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks

25 October 2016
Carsten Schnober
Steffen Eger
E. Dinh
Iryna Gurevych
ArXivPDFHTML

Papers citing "Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks"

5 / 5 papers shown
Title
A Benchmark and Dataset for Post-OCR text correction in Sanskrit
A Benchmark and Dataset for Post-OCR text correction in Sanskrit
Ayush Maheshwari
Nikhil Singh
Amrith Krishna
Ganesh Ramakrishnan
26
12
0
15 Nov 2022
Text Processing Like Humans Do: Visually Attacking and Shielding NLP
  Systems
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Steffen Eger
Gözde Gül Sahin
Andreas Rucklé
Ji-Ung Lee
Claudia Schulz
Mohsen Mesgar
Krishnkant Swarnkar
Edwin Simpson
Iryna Gurevych
AAML
26
156
0
27 Mar 2019
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised
  Sanskrit
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
Amrith Krishna
Bodhisattwa Prasad Majumder
R. Bhat
Pawan Goyal
16
11
0
06 Sep 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme
  Conversion
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion
Kaisheng Yao
Geoffrey Zweig
37
163
0
31 May 2015
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