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Utilizing Character and Word Embeddings for Text Normalization with
  Sequence-to-Sequence Models

Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models

5 September 2018
Daniel Watson
Nasser Zalmout
Nizar Habash
ArXivPDFHTML

Papers citing "Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models"

6 / 6 papers shown
Title
Exploiting Dialect Identification in Automatic Dialectal Text
  Normalization
Exploiting Dialect Identification in Automatic Dialectal Text Normalization
Bashar Alhafni
Sarah Al-Towaity
Ziyad Fawzy
Fatema Nassar
Fadhl Eryani
Houda Bouamor
Nizar Habash
45
3
0
03 Jul 2024
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine
  Learning
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning
Gheith A. Abandah
Ashraf Suyyagh
M. Z. Khedher
17
12
0
02 Aug 2021
A Multitask Learning Approach for Diacritic Restoration
A Multitask Learning Approach for Diacritic Restoration
Sawsan Alqahtani
Ajay K. Mishra
Mona T. Diab
18
17
0
07 Jun 2020
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect
  Morphological Modeling
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
Nasser Zalmout
Nizar Habash
VLM
24
24
0
28 Oct 2019
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
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
7,929
0
17 Aug 2015
1