873 resultados para Spanish language -- To 1500 -- Participle -- Congresses
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This document written in English and Spanish discusses the problem of babies spitting up.
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This Spanish language sheet explains SC regulation 61-25 dealing with retail food establishments and shellfish. It also has a daily shellstock receiving record that can be used by restaurants for record keeping.
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This document printed in English and Spanish tells the kinds of items that can be recycled in Georgetown County.
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This Spanish language fact sheet cites SC Regulation 61-25 dealing with food inspection.
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This Spanish language document cites Regulation 61-25 giving regulations for cooking sushi rice.
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This Spanish language document cites Regulation 61-25 dealing with restaurant permits.
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This sheet printed in Spanish and English shows how you may get free cervical and breast exams for cancer if you meet certain conditions.
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This paper written in Spanish gives information about radioactive materials and safety during a nuclear power plant emergency.
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This paper, written in English and Spanish, tells what a pap test is and what the test results mean.
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This sheet written in Spanish answers the questions: why does my child need vaccines now?, what vaccines does my child need?, when should my child be vaccinated?, what else should I know about these vaccines?, how can I get help paying for these vaccines? and where can I learn more?
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This brochure written in Spanish gives personal hygiene tips for women.
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This Spanish language sheet tells about mammograms.
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Written in Spanish, this document explains embryonic and fetal development.
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In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human design or engineering interventions. In addition, DL approaches have achieved some remarkable results. In this paper, we have surveyed major recent contributions that use DL techniques for NLP tasks. All these reviewed topics have been limited to show contributions to text understand-ing, such as sentence modelling, sentiment classification, semantic role labelling, question answering, etc. We provide an overview of deep learning architectures based on Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Recursive Neural Networks (RNNs).
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Sin lugar a dudas, el inglés se ha convertido en las últimas décadas en la lingua franca de la comunidad científica internacional, desplazando incluso a otras lenguas que tuvieron una gran importancia en otras épocas, caso del francés o del alemán. El lenguaje científico español también ha sucumbido a esta entrada masiva del inglés en las distintas disciplinas científico-técnicas, y presenta desde hace unas décadas ciertas características que no son propias de las reglas gramaticales del español y que son el fruto de una contaminación lingüística derivada de la penetración del inglés. El objetivo del presente artículo es analizar las características del lenguaje médico tal y como lo podemos encontrar en las publicaciones españolas actuales. Para ello, el artículo se divide en tres apartados: en primer lugar, haremos un breve recorrido por la historia del lenguaje médico como punto de partida para comprender la evolución de este lenguaje. En segundo lugar, analizaremos las características principales dentro de los niveles léxicosemántico, morfosintáctico y fonético-fonológico del lenguaje médico español y veremos la influencia que ha tenido el inglés en el proceso de evolución del mismo. En tercer lugar, examinaremos los procedimientos de creación y formación de términos médicos y cómo afectan al desarrollo lingüístico de la terminología.