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Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Yerai Doval
Carlos Gómez-Rodríguez
ArXiv (abs)PDFHTML

Papers citing "Comparing Neural- and N-Gram-Based Language Models for Word Segmentation"

4 / 4 papers shown
Title
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
Qingyang Wu
Ying Xu
Tingsong Xiao
Yunze Xiao
Yitong Li
...
Yichi Zhang
Shanghai Zhong
Yuwei Zhang
Wei Lu
Yifan Yang
186
3
0
17 Jan 2025
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke
Zaid Alyafeai
Elizabeth Salesky
Colin Raffel
Manan Dey
...
Arun Raja
Chenglei Si
Wilson Y. Lee
Benoît Sagot
Samson Tan
97
151
0
20 Dec 2021
Zero-shot hashtag segmentation for multilingual sentiment analysis
Zero-shot hashtag segmentation for multilingual sentiment analysis
Ruan Chaves Rodrigues
M. Inuzuka
Juliana Resplande SantÁnna Gomes
A. S. Rocha
Iacer Calixto
H. A. D. D. Nascimento
VLM
55
3
0
06 Dec 2021
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
Evangelos Kazakos
Jaesung Huh
Arsha Nagrani
Andrew Zisserman
Dima Damen
EgoV
110
46
0
01 Nov 2021