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1906.05506
Cited By
Character n-gram Embeddings to Improve RNN Language Models
13 June 2019
Sho Takase
Jun Suzuki
Masaaki Nagata
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Papers citing
"Character n-gram Embeddings to Improve RNN Language Models"
7 / 7 papers shown
Title
Large Vocabulary Size Improves Large Language Models
Sho Takase
Ryokan Ri
Shun Kiyono
Takuya Kato
133
4
0
24 Jun 2024
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
Qi Li
Ziyi Shen
Qian Li
D. Barratt
T. Dowrick
Matthew J Clarkson
Tom Vercauteren
Yipeng Hu
MedIm
46
5
0
09 Nov 2022
Paradigm Shift in Language Modeling: Revisiting CNN for Modeling Sanskrit Originated Bengali and Hindi Language
C. R. Rahman
Md. Hasibur Rahman
Mohammad Rafsan
S. Zakir
Mohammed Eunus Ali
Rafsanjani Muhammod
32
1
0
25 Oct 2021
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
103
38
0
11 Jun 2021
All Word Embeddings from One Embedding
Sho Takase
Sosuke Kobayashi
96
10
0
25 Apr 2020
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
Faiza Mehmood
M. Ghani
Muhammad Ali Ibrahim
Rehab Shahzadi
Muhammad Nabeel Asim
36
30
0
11 Mar 2020
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
Muhammad Nabeel Asim
M. Ghani
Muhammad Ali Ibrahim
Sheraz Ahmed
Waqar Mahmood
Andreas Dengel
51
19
0
03 Mar 2020
1