Results 81 to 90 of about 63,855 (324)

Real-Time Statistical Speech Translation

, 2014
This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice ...
A. Radziszewski, D. Cer, F. Holz
core   +1 more source

Endocytic Control of Cell‐Autonomous and Non‐Cell‐Autonomous Functions of p53

Advanced Science, EarlyView.
NUMB Ex3‐containing isoforms localize to the plasma membrane, where they recruit p53 through SNX9 and direct it to multivesicular bodies and exosomes. Exported p53 is taken up by neighboring cells and activates nuclear programs, revealing an intercellular, exosome‐based pathway that might help establish a tumor‐suppressive microenvironment.
Roberta Cacciatore, Andrea Basile, Stefano Freddi, Irene Schiano Lomoriello, Carlo Ribelle Zucca, Giuseppe Ciossani, Luigi Scietti, Alessandro Cuomo, Simona Ronzoni, Simone Pelicci, Mario Faretta, Elena Zaccheroni, Giuliana Pelicci, Vittoria Matafora, Angela Bachi, Rosalind Helen Gunby, Salvatore Pece, Sara Sigismund, Letizia Lanzetti, Ivan Nicola Colaluca, Pier Paolo Di Fiore   +20 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

Parts of Speech Tagging for Kannada

Proceedings of the Student Research Workshop Associated with RANLP 2019, 2019
Parts of speech (POS) tagging is the process of assigning the part of speech tag to each and every word in a sentence. In this paper, we have presented POS tagger for Kannada, a low resource south Asian language, using Condition Random Fields. POS tagger developed in the work uses novel features native to Kannada language.
Swaroop L R, Rakshit Gowda G S, Shriram Hegde, Sourabh U   +3 more
openaire   +1 more source

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

Part-of-Speech-Tagging

, 2021
Im KONDE-Projekt, das aus Hochschulraumstrukturmitteln finanziert wird, beschäftigten sich sieben universitäre Partner und drei weitere Einrichtungen aus unterschiedlichen Blickwinkeln mit theoretischen und praktischen Aspekten der Digitalen Edition. Ein Outcome des Projektes stellt das Weißbuch dar, welches über 200 Artikel zum Thema Digitale Edition ...
openaire   +1 more source

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? [PDF]

, 2022
Xiang Zhou, Shiyue Zhang, Mohit Bansal
openalex   +1 more source

Cryo‐EM Structure Guided Engineering of Botulinum Neurotoxin A With Advanced Receptor Binding Affinity and Therapeutical Benefits

Advanced Science, EarlyView.
The butterfly unfolded wing in an open form structure of botulinum neurotoxin type A (BoNT/A) at physiological‐state was confirmed at 2.85 Å resolution by cryo‐electron microscopy (cryo‐EM). Structure‐guided protein engineering significantly enhanced the receptor‐binding affinity, therapeutic efficacy, and safety of the engineered toxin variants ...
Wenrui Wang, Zhaxi Zerang, Linjin You, Ziye Liu, Rong Nie, Fuwei Qi, Fenfen Gao, Chengmu Zhao, Wantong Ma, Jinghan He, Xiaoru Wang, Shanquan Wu, Bo Liu, Xinyao Liu, Dongsheng Lei, Dejuan Zhi, Dongsheng Wang   +16 more
wiley   +1 more source

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

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

, 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