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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

3 December 2018
Yerai Doval
Carlos Gómez-Rodríguez
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
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
384
9
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
312
199
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
151
4
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 RecognitionBritish Machine Vision Conference (BMVC), 2021
Evangelos Kazakos
Jaesung Huh
Arsha Nagrani
Andrew Zisserman
Dima Damen
EgoV
297
54
0
01 Nov 2021
Tokenization Repair in the Presence of Spelling Errors
Tokenization Repair in the Presence of Spelling Errors
Hannah Bast
Matthias Hertel
M. Mohamed
146
6
0
15 Oct 2020
Towards robust word embeddings for noisy texts
Towards robust word embeddings for noisy textsApplied Sciences (AS), 2019
Yerai Doval
Jesús Vilares
Carlos Gómez-Rodríguez
250
8
0
25 Nov 2019
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