Results 81 to 90 of about 48,139 (301)

GENETIC APPROACH FOR ARABIC PART OF SPEECH TAGGING

International Journal on Natural Language Computing, 2013
With the growing number of textual resources available, the ability to understand them becomes critical.An essential first step in understanding these sources is the ability to identify the parts-of-speech in eachsentence. Arabic is a morphologically rich language, which presents a challenge for part of speechtagging.
Bilel Ben Ali, Fethi Jarray
openaire   +2 more sources

Data-Driven Part-of-Speech Tagging of Kiswahili [PDF]

, 2006
In this paper we present experiments with data-driven part-of-speech taggers trained and evaluated on the annotated Helsinki Corpus of Swahili Using four of the current state-of-the-art data-driven taggers, TnT, MBT, SVMTool and MXPOST, we observe the latter as being the most accurate tagger for the Kiswahili dataset.We further improve on the ...
Guy De Pauw, Gilles-Maurice de Schryver, Peter Waiganjo Wagacha   +2 more
openaire   +3 more sources

Chinese legal texts – Quantitative Description

Acta Linguistica Asiatica, 2017
The aim of the paper is to provide a quantitative description of legal Chinese. This study adopts the approach of corpus-based analyses and it shows basic statistical parameters of legal texts in Chinese, namely the length of a sentence, the proportion ...
Ľuboš GAJDOŠ
doaj   +1 more source

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

Advanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang, Qingfei Meng, Hui Jiao, Huixin Liu, Xiangchao Wang, Honglan Zhou, Yishu Wang   +6 more
wiley   +1 more source

Deep Learning Model for Tamil Part-of-Speech Tagging

Part-of-Speech (POS) tagging is one of the popular Natural Language Processing (NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as speech recognition, machine translation, and sentiment analysis.
Alawatugoda, Janaka, Visuwalingam, Hemakasiny, Sakuntharaj, Ratnasingam, Ragel, Roshan   +3 more
core   +1 more source

β‐Elemene Rescues Radiation‐Induced Enteritis by Orchestrating a Host‐Microbiome Circuit That Fuels Epigenetic DNA Repair

Advanced Science, EarlyView.
This study elucidates that β‐elemene promotes cellular uptake of L. gasseri‐derived lactate by enhancing the membrane translocation of MCT1 in a CD147‐dependent manner. Intracellular lactate, through the lactylation of RBBP4 at the K26 site, recruits EP300 to the promoter regions of downstream genes (POLD1/POLD3), catalyzing H3K27ac modification.
Jiancheng He, Jiapeng Bao, Shukang Deng, Weijie Zang, Haoming Yan, Zihao Zhao, Guangze Zhang, Ruiqing Liu, Junjie Chen, Yilin Hu, Wanjiang Xue   +10 more
wiley   +1 more source

Penentuan Kelas Kata Pada Part of Speech Tagging Kata Ambigu Bahasa Indonesia

JISKA (Jurnal Informatika Sunan Kalijaga), 2018
Indonesian hold a fundamental role in the communication. There is ambiguous problem in its machine learning implementation. In the Natural Language Processing study, Part of Speech (POS) tagging has a role in the decreasing this problem.
Ahmad Subhan Yazid, Agung Fatwanto
doaj   +1 more source

CTBPro: A Next‐Generation Cholera Toxin Subunit B‐Based Neuroanatomical Tracer With Superior Brightness, Stability, and Sensitivity for Enhanced Neural Circuit Mapping

Advanced Science, EarlyView.
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan, Yude Lou, Huiqi Xie, Yifei Wang, Yanzhe Zhang, Yiran Ge, Linhe Yang, Xiaoxuan Zhang, Qingmiao Zhou, Huaizong Shen, Longxing Cao, Xin Jin, Jie‐Min Jia   +12 more
wiley   +1 more source

POS tagging for German : how important is the right context?

, 2008
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, many languages require the inclusion of right context for correct ...
Ivanova, Steliana, Kübler, Sandra
core  

A Hybrid Neural-CRF Framework for Assamese Part-of-Speech Tagging

IEEE Access
Natural Language Processing (NLP) involves computational techniques for analyzing and understanding human languages. Part-of-Speech (POS) tagging, a fundamental NLP task, assigns grammatical categories to words in text.
Rituraj Phukan, Nomi Baruah, Mandira Neog, Shikhar KR. Sarma, Darpanjit Konwar   +4 more
doaj   +1 more source