Results 91 to 100 of about 276,101 (306)

Tokenisation in rule-based machine translation [PDF]

, 2023
Tokenisation is a process, where text is converted into such form, where each item is separated from the rest of the text. Words, for example, are such items, and they must be separated from punctuation marks and diacritics. The most convenient way to do
Hurskainen, Arvi
core  

Functional Characterization and Pathogenicity Classification of PRRT2 Splice Variants in PRRT2‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Paroxysmal kinesigenic dyskinesia (PKD) is the most common hereditary paroxysmal movement disorder. The PRRT2 gene is the first identified causative gene and accounts for the majority of PKD. In this study, we investigated the pathogenicity of PRRT2 variants in the splice regions. Methods Patients with clinically suspected PKD and no
Jiao‐Jiao Xu, Yu‐Lan Chen, Wan‐Bing Sun, Hong‐Fu Li, Zhi‐Ying Wu, Dian‐Fu Chen   +5 more
wiley   +1 more source

Evaluating Translation Quality: A Qualitative and Quantitative Assessment of Machine and LLM-Driven Arabic–English Translations

Information
This study investigates translation quality between Arabic and English, comparing traditional rule-based machine translation systems, modern neural machine translation tools such as Google Translate, and large language models like ChatGPT.
Tawffeek A. S. Mohammed
doaj   +1 more source

Nlp Challenges for Machine Translation from English to Indian Languages [PDF]

, 2013
This Natural Langauge processing is carried particularly on English-Kannada/Telugu. Kannada is a language of India. The Kannada language has a classification of Dravidian, Southern, Tamil-Kannada, and Kannada.
Hanumanthappa, M., Mallamma, V. Reddy.
core  

Expanding Hereditary Spastic Paraplegias Limits: Biallelic SPAST Variants in Cerebral Palsy Mimics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegias (HSP) are rare neurodegenerative disorders marked by spasticity and lower limb weakness. The most common type, SPG4, is usually autosomal dominant and caused by SPAST gene variants, typically presenting as pure HSP.
Gregorio A. Nolasco, Mònica Roldán, Yalda Jamshidi, Ioannis Georvasilis, Rocío Jadraque Rodríguez, Reza Boostani, Ali Shoeibi, Lluís Armengol, Anna Codina, Ehsan Ghayoor Karimiani, Cristina Hernando‐Davalillo, Loreto Martorell, María Luisa Ramírez Almaraz, Jordi Muchart, Carlos Ortez, Andrés Nascimento, Roser Urreizti, Daniel Natera‐de Benito, Mercedes Serrano   +18 more
wiley   +1 more source

Tulu Language Text Recognition and Translation

IEEE Access
Language is a primary means of communication, but it is not the only means; knowing a language does, however, assist speed up the process. Many distinct languages are spoken worldwide, and people use them to communicate.
Prathwini, Anisha P. Rodrigues, P. Vijaya, Roshan Fernandes   +3 more
doaj   +1 more source

Automatic acquisition of Named Entities for Rule-Based Machine Translation [PDF]

, 2010
Este artículo propone enriquecer los diccionarios de traducción automática basada en reglas con nombres de entidades adquiridos automáticamente de Wikipedia. El método se aplica al sistema inglés-español de Apertium y su comportamiento se compara con el de Apertium con o sin nombres de entidades etiquetadas a mano.
Toral, Antonio, Way, Andy
openaire   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

MACHINE TRANSLATION USING SCARCE BILINGUAL CORPORA

TASK Quarterly, 2007
We propose a method for automatic extraction of translation rules suitable for a rule-based machine translation system by using a target language syntactic parser and scarce bilingual resources as linguistic knowledge sources.
KRZYSZTOF JASSEM, TOMASZ KOWALSKI
doaj