Results 41 to 50 of about 63,855 (326)
A Part-of-Speech Tagset for Morphosyntactic Tagging of Amharic
The aim of the article is to propose a tagset for the morposyntactic tagging of Amharic and to discuss those issues which may seem problematic. The tagset contains forty-seven tags grouped into twelve parts of speech.
Magdalena Krzyżanowska
doaj +1 more source
Finite State Transducers Approximating Hidden Markov Models
This paper describes the conversion of a Hidden Markov Model into a sequential transducer that closely approximates the behavior of the stochastic model.
Kempe, Andre
core +2 more sources
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Automatic grammatical tagger for a Spanish–Mixtec parallel corpus
In this work, we developed the first intelligent automatic grammatical tagger for a Spanish–Mixtec parallel corpus in Mexico. The proposed tagger consists of multiple phases.
Hermilo Santiago-Benito +5 more
doaj +1 more source
Towards a standard Part of Speech tagset for the Arabic language
Part of Speech (PoS) tagging is still not very well investigated with respect to the Arabic language. Determining the PoS tags of a word in a particular context is difficult, primarily because there is no use of diacritics in most of contemporary texts ...
Imad Zeroual +2 more
doaj +1 more source
Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language [PDF]
This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in ...
Cocks, John
core +1 more source
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Adversarial training (AT) is a powerful regularization method for neural networks, aiming to achieve robustness to input perturbations. Yet, the specific effects of the robustness obtained from AT are still unclear in the context of natural language ...
Kasai, Jungo +2 more
core +1 more source
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada +5 more
wiley +1 more source
What can we learn from Semantic Tagging?
We investigate the effects of multi-task learning using the recently introduced task of semantic tagging. We employ semantic tagging as an auxiliary task for three different NLP tasks: part-of-speech tagging, Universal Dependency parsing, and Natural ...
Abdou, Mostafa +4 more
core +1 more source

