Results 41 to 50 of about 149,894 (279)

An efficient, font independent word and character segmentation algorithm for printed Arabic text

Journal of King Saud University: Computer and Information Sciences, 2022
Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush, Bassam Jaber, Khader Mohammad, Mahdi Washaha, Eman Maali, Nibal Nayef   +5 more
doaj   +1 more source

Radical-Enhanced Chinese Character Embedding

, 2014
We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and ...
Ji, Zhenzhou, Lin, Lei, Sun, Yaming, Tang, Duyu, Wang, Xiaolong, Yang, Nan   +5 more
core   +1 more source

Segmentation and Recognition for Historical Tibetan Document Images

IEEE Access, 2020
As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received extensive attention from historians, linguists and Buddhist scholars.
Longlong Ma, Congjun Long, Lijuan Duan, Xiqun Zhang, Yanxing Li, Quanchao Zhao   +5 more
doaj   +1 more source

Detection of Algorithmically Generated Malicious Domain Names with Feature Fusion of Meaningful Word Segmentation and N-Gram Sequences

Applied Sciences, 2023
Domain generation algorithms (DGAs) play an important role in network attacks and can be mainly divided into two types: dictionary-based and character-based.
Shaojie Chen, Bo Lang, Yikai Chen, Chong Xie   +3 more
doaj   +1 more source

Text segmentation with character-level text embeddings [PDF]

, 2013
Learning word representations has recently seen much success in computational linguistics. However, assuming sequences of word tokens as input to linguistic analysis is often unjustified.
Chrupała, Grzegorz
core   +2 more sources

Fast and Accurate Neural Word Segmentation for Chinese

, 2017
Neural models with minimal feature engineering have achieved competitive performance against traditional methods for the task of Chinese word segmentation.
Cai, Deng, Huang, Feiyue, Wu, Yongjian, Xin, Yuan, Zhang, Zhisong, Zhao, Hai   +5 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

2kenize: Tying Subword Sequences for Chinese Script Conversion

, 2020
Simplified Chinese to Traditional Chinese character conversion is a common preprocessing step in Chinese NLP. Despite this, current approaches have poor performance because they do not take into account that a simplified Chinese character can correspond ...
A, Pranav, Augenstein, Isabelle
core   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Towards Neural Machine Translation with Latent Tree Attention

, 2017
Building models that take advantage of the hierarchical structure of language without a priori annotation is a longstanding goal in natural language processing.
Bradbury, James, Socher, Richard
core   +1 more source