Results 81 to 90 of about 7,575 (302)
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
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 +3 more
core +1 more source
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 +10 more
wiley +1 more source
Setswana Part of Speech Tagging
, 2019 Part of speech tagging is one of the basic steps in natural language processing. Although it has been investigated for many languages around the world, very little has been done for Setswana language.
Gabofetswe Malema
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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
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 +2 more
openaire +3 more sources
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 +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
Part of speech tagging of Levantine [PDF]
, 2008 The goal for this project is to explore strategies in adapting a Part of Speech (POS) tagger that was trained on Modern Standard Arabic sentences for tagging Levantine sentences, a dialect of Modern Standard Arabic, leveraged by methods of morphological ...
Monirabbassi, Azadeh
core
Transformer-based part-of-speech tagging and lemmatization for Latin [PDF]
, 2022 The paper presents a submission to the EvaLatin 2022 shared task. Our system places first for lemmatization, part-of-speech and morphological tagging in both closed and open modalities.
Wróbel, Krzysztof, Nowak, Krzysztof
core