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Attentive Sequence-to-Sequence Learning for Diacritic Restoration of
  Yorùbá Language Text
v1v2 (latest)

Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language Text

3 April 2018
Iroro Orife
ArXiv (abs)PDFHTML

Papers citing "Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language Text"

7 / 7 papers shown
Title
NaijaNLP: A Survey of Nigerian Low-Resource Languages
NaijaNLP: A Survey of Nigerian Low-Resource Languages
Isa Inuwa-Dutse
112
0
0
27 Feb 2025
The Low-Resource Double Bind: An Empirical Study of Pruning for
  Low-Resource Machine Translation
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
Orevaoghene Ahia
Julia Kreutzer
Sara Hooker
194
55
0
06 Oct 2021
Diacritics Restoration using BERT with Analysis on Czech language
Diacritics Restoration using BERT with Analysis on Czech language
Jakub Náplava
Milan Straka
Jana Straková
39
11
0
24 May 2021
OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
Bonaventure F. P. Dossou
Chris C. Emezue
72
14
0
13 Mar 2021
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon
  and Nobiin
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
Bonaventure F. P. Dossou
Mohammed Sabry
87
3
0
08 Mar 2021
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model
Kareem Darwish
Ahmed Abdelali
Hamdy Mubarak
Mohamed I. Eldesouki
51
22
0
04 Feb 2020
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The
  Case of Yorùbá and Twi
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
Jesujoba Oluwadara Alabi
Kwabena Amponsah-Kaakyire
David Ifeoluwa Adelani
C. España-Bonet
107
53
0
05 Dec 2019
1