Results 91 to 100 of about 28,490,308 (324)
A n-grams collection extracted from the Portuguese Web
, 2022 The n-grams collection was extracted from the collected documents whose identified language was Portuguese. We extracted word n-grams up to the fifht order (5-grams). A set of regular expressions to tokenize the text were applied.
Batista, David
core +1 more source
FEBS Open Bio, EarlyView.Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
Developing a Corpus-Based Academic Word List for Welding Metallurgy ESP/EAP Courses [PDF]
Issues in Language TeachingEmploying reliable evidence-based academic word lists has been a noticeable concern for numerous educators, students, and researchers in English for Academic/Specific Purposes (EAP/ESP) courses.
Mohammad Hossein Afsharipoor +3 more
doaj +1 more source
Semantic N-Gram Topic Modeling [PDF]
ICST Transactions on Scalable Information Systems, 2018 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase-based vector space, where critical measure like point wisemutual information (PMI) and log frequency ...
Pooja Kherwa, Poonam Bansal
openaire +2 more sources
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights
IEEE AccessThe rapid advancements in large language models (LLMs) have led to the generation of sophisticated AI-produced texts, posing significant challenges in distinguishing machine-generated content from authentic human writing.
Nazar Zaki +5 more
doaj +1 more source
Workshop on NLP for Similar Languages, Varieties and Dialects, 2017 This paper presents the cic_ualg’s system that took part in the Discriminating between Similar Languages (DSL) shared task, held at the VarDial 2017 Workshop.
Helena Gómez-Adorno +4 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
LanguagesDifferent methods and sources of information have been proposed in the literature to study the processing of language and, in particular, instances of formulaic language such as multiword units.
Gaëtanelle Gilquin
doaj +1 more source
From N-grams to collocations [PDF]
Proceedings of the 29th annual meeting on Association for Computational Linguistics -, 1991 In previous papers we presented methods for retrieving collocations from large samples of texts. We described a tool, Xtract, that implements these methods and able to retrieve a wide range of collocations in a two stage process. These methods as well as other related methods however have some limitations.
openaire +2 more sources