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SPEKTROSKOPIK USULLAR

Darslikda kimyo, biologiya, geografiya, geologiya, neft va gaz kimyosi, tabiiy va fiziologik faol birikmalar kimyosi, agrokimyo va agrotuproqshunoslik, ekologiya va atrof-muhit muhofazasi, oziq-ovqat texnologiyasi, mahsulotlarning kimyoviy tahlili yo‘nalishlari, mutaxassisliklari va ixtisosliklari bo‘yicha ta’lim olayotgan bakalavrlar, magistrlar hamda doktorantlar va ilmiy izlanuvchilar uchun

Философия

Учебник «Философия» для группы вечерних курсов обучения составлен на основе учебных программ и стандартов Министерства Высшего и среднего специального образования. Учебник охватывает все основные направления философии. Учебник предназначен для студентов и специалистов по философии.

Machine Learning in Translation

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator's unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era

Turar joy va jamoat binolarini loyihalashning tipologik asoslari

Darslikda zamonaviy qurilish tajribasi tahlil qilingan, asosiy turar joy va jamoat binolari arxitekturasini shakllantirish qonuniyatlari aks ettirilgan. Asosiy e’tibor 0‘zbekiston sharoitida shunday binolarni qurish tajribasiga qaratilgan

Machine Translation: Technologies and Applications

This book is a contribution to the research community towards thinking and reflecting on what Responsible Machine Translation really means. It was conceived as an open dialogue across disciplines, from philosophy to law, with the ultimate goal of providing a wide spectrum of topics to reflect on. It covers aspects related to the development of Machine translation systems, as well as its use in different scenarios, and the societal impact that it may have. This text appeals to students and researchers in linguistics, translation, natural language processing, philosophy, and law as well as professionals working in these fields.

Клиническая фармакология

Учебник "клиническая фармакология" предназначен для студентов бакалаврията, направления образования 5510100-"Лечебное дело" в соответствии с учебным планом и учебной программой

Математическое моделирование как наука и искусство

В учебнике рассказывается о разнообразных конкретных математических эволюционных моделях и их исследовании в механике, физике, биологии, технике и управлении, моделях игр и поиска решения, волновых явлениях, фундаментальных законах макромира и микромира, пространстве и времени и др. Для студентов, аспирантов, преподавателей, инженеров и всех интересующихся математическим моделированием.

Machine Translation and Foreign Language Learning

The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers.

Turar joy va jamoat binolarini loyihalash

Ushbu darslik ikki qismdan iborat bo‘lib, darslikning birinchi qismida turar-joy binolari loyihalashning umumiy qoidalari, arxitektura bilan uzviy bog‘lanish jarayoni ko‘rsatib berilgan. Turar-joy binolarining tipologiyasi, ularning umumiy muammolari, uy-joy qurish masalalari, uy-joylarning turlari (klassifikatsiyasi), xonadon va uning tarkibi hamda funksional-texnologik bog‘liqligi yoritilgan bo‘lib, bunda jamiyat taraqiyoti, iqlim sharoiti, aholining demografiyasi, funksional joylashish vazifasi, yechimi, tashqi ko‘rinishiga ta’siri ko‘rsatilib va ularni asoslab berilgan

Nazariy mexanika

Darslikda statika, kinematika, dinamika, analitik mexanika elementlari va kichik tebranishlar nazariyasi bayon etilgan. Kitobda yassi fermalami hisoblash, o‘zgaruvchan massali jismlar mexanikasi, ustuvor muvozanat va harakat nazariyasi ham keltirilgan

Экология и устойчивое развитие

В учебном пособии изложены вопросы, касающиеся понятий общей и ауто-, дем-, синэкологии, биосферы и ее устойчивости, устойчивого развития, его концепции и стратегии, промышленной экологии и охраны окружающей среды. Раскрыты вопросы, касающиеся взаимодействия человека и окружающей среды, экологических кризисов и путей их преодоления, охраны природы, устойчивого развития Республики

Machine translation for everyone. Empowering users in the age of artificial intelligence

Multilingualism is a foundational value of the European Union. In practice, it depends on multiple pillars, including language learning and translation. In recent years, both of these pillars have been profoundly affected by the continued development of machine translation. Machine translation, if used wisely, can serve to support language learning efforts. It can provide access to more texts, originally written in more languages, to more users than ever before. And it can help professional human translators to work more productively, given the right circumstances. There is a danger, however, that uncritical use of the technology could set back individual efforts to learn languages. It could also be used in ways that gloss over potential problems with the output it produces, so that consumers don’t realize when texts they are reading contain machine-translation induced inaccuracies or biases. And if excessively hyped, it could discourage new blood from entering the translation profession.

Umumiy pedagogika

Ushbu darslikda «Umumiy pedagogika» fam nm g umumiy asoslan ta'litn nazariyasi, tarbiya nazariyasi, ta ’hm tizim m i boshqarish, korreksion pedagogika, pedagogika tanxi hamda pcdagogik m ahoral y o 'n a l i s h l a n g a oid pedagogik qarashlar, nazanyalar ilmiy va am aliv jihatdan asoslab benlgan. Darslik pedagogika oliy o ‘quv yurtlarm m g barcha bakalavriat ta’lim yo‘nalishi talabalan uehun m o‘ljallangan.

Biofizika qism

Ushbu darslik - Biofizika I - qism, oliy ta’lim muassasalari tabiiy fanlar va tibbiyot yo'nalishlari talabalari uchun mo'ljallangan. Darslik biofizika fanining quyidagi mavzularini o‘z ichiga olgan biologik jarayonlarning termodinamikasi

Bolalarning ijtimoiy moslashuvi

Mazkur darslikda maktabgacha ta'lim yo'nalishi bakalavryat talabalarini maktabgacha ta'lim tashkilotlarida ijtimoiy tarbiyani tashkil etishdagi kasbiy kompenentligini shakllantirishga oid ma'lumotlar bayon etilgan.

Neural Machine Translation

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.