Who is the book for?
This book has been written for people whose first language is not English, and who use or
are going to use computers and other information technology in an English-speaking
environment. It covers the language needed to use information technology equipment,
work with computer programs, discuss problems and plan projects. It does not cover
advanced technical vocabulary for computer programmers or electronic engineers. All the
language in the book is intended to be accessible to intermediate level students and above....
information technology industry is the application of technology management and information processing
IT industry to use computers and computer software to convert, store, protect, process, transmit, and gather information. This book is for those materials and specialized information technology and computers, including the words, English grammar information technology industry.
Fully updated in line with the latest developments in Information Communications Technology (ICT), this course teaches students the language and skills they need to understand and work in the world of computers. A focus on terminology is combined with vocabulary and grammar practice to give students the tools to use English in areas such as describing features and functions, applying for jobs and discussing the world of ICT.
This book can really help you to increase your English vocabulary while having fun. Most of the tests cover a particular vocabulary area - for example, tools, shapes, computers, musical instruments and so on. Others are based on word types - for example, preposition, phrasal verbs or collective nouns.
Preparing Students for the Computer-Based Test has been created for ESL/EFL instructors
and educational advisors so they can help students prepare for the computer-based TOEFL® test. It has been
prepared by Educational Testing Service (ETS), which develops and scores the TOEFL test. TOEFL Tips
can help students do their best on the test. However, it is not meant to replace the TOEFL Information
Bulletin for Computer-Based Testing, which contains information students need to make appointments
for and become familiar with the test.
A course for people studying computer science or working with computers. It covers a wide range of computing areas, giving practice in all four language skills. Particular emphasis is placed on the vocabulary and grammar of the English used in computer science.
We are becoming increasingly dependent on computers. They are used in businesses,
hospitals, crime detection and even to fly planes.
What things will they be used for in the future? Is this dependence on computers a good
thing or should we he more auspicious of their benefits?
Fully updated in line with the latest developments in Information Communications Technology (ICT), this course teaches students the language and skills they need to understand and work in the world of computers. The 30 topic-based units cover everything from computer essentials through to programming, web design, job hunting, and future technologies. A focus on terminology is combined with vocabulary and grammar practice to give students the tools to use English in areas such as describing features and functions, applying for jobs and discussing the world of ICT.
English for Information Technology is designed to: Provide students with vocabulary related to different major topics in the field of Computing Information Technology, introduce students to some basic knowledge in several areas of Computing and Information Technology, provide students with opportunities to practice and develop their language skills in general as well as Information Technology contexts,... This curriculum include 10 lesson, part 1 from lesson 1 to lesson 6.
A program for the mechanical translation of a limited French vocabulary into English was constructed for operation on the computer APEXC. Its principal features were an improved routine for dictionary look-up, and an organization permitting systematic incorporation of additional subroutines.
Style in language is more than just surface appeaxance, on the contrary, it is an essential part of the meaning conveyed by the writer. A computational theory of style could be of great use in many computational linguistics applications. A system that is 'stylistically aware' could analyze the writer's stylistic intent and understand the complex interaction of choices that produce a certain effect. In applications such as machine translation, a computational theory of stylistics would allow the preservation or modification of stylistic effects across languages.
This paper describes a set of interactive routines that can be used to create, maintain, and update a computer lexicon. The routines are available to the user as a set of commands resembling a simple operating system. The lexicon produced by this system is based on lexical-semantic relations, but is compatible with a variety of other models of lexicon structure. The lexicon builder is suitable for the generation of moderate-sized vocabularies and has been used to construct a lexicon for a small medical expert system.
This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary, LDOCE (Long-man Dictionary of Contemporary English). Spreading activation on the network can directly compute the similarity between any two words in the Longman Defining Vocabulary, and indirectly the similarity of all the other words in LDOCE.
Although this GRE Practice General Test is in the
paper-based format, it is a valuable practice exercise
for the computer-based General Test because
question types are the same for both formats.
The information on page 3 does not pertain to the
computer-based General Test. For a description of
the test and suggested test-taking strategies, see the
current GRE Bulletin or visit the GRE Web site at
Our domestic partners must always get a special thank you for being so tolerant of the long hours we spend away from them in the company of our computer keyboards. Whatever faults and shortcomings remain in the book must be laid entirely at our door.
Students need a strong digital vocabulary to interact professionally with
colleagues, vendors, potential employers, clients, and industry. Understanding
vocabulary allows the student to read and understand books and articles on the
subject more fully. In addition, this jargon is found in the project process. Using
vocabulary correctly and giving vocabulary exams are the most successful
methods for grasping vocabulary.
Robotics and computer vision are interdisciplinary subjects at the intersection of engineering and computer science. By their nature, they deal with both computers and the physical world. Although the former are in the latter, the workings of computers are best described in the black-and-white vocabulary of discrete mathematics, which is foreign to most classical models of reality, quantum physics notwithstanding. This class surveys some of the key tools of applied math to be used at the interface of continuous and discrete. It is not on robotics or computer vision.
Again, many pub¬lic libraries and institutions will allow you to use the Internet and computers at no extra cost. This is also usually the case with univer¬sity libraries, especially if you explain that you are researching a topic and would like to use their Internet search engines for academic rea¬sons.
Provide a vocabulary to describe complex resource
bundles. In any system, be it administrative or market-
based, users need a mechanism to express their resource
holdings and desires. Markets, which have been used for
decades to capture difﬁcult resource allocation problems
(e.g. energy markets, wireless spectrum auctions, airline
landing slot exchanges), can also be used to capture the
intricacies of systems problems.
Common approaches to assessing document quality look at shallow aspects, such as grammar and vocabulary. For many real-world applications, deeper notions of quality are needed. This work represents a ﬁrst step in a project aimed at developing computational methods for deep assessment of quality in the domain of intelligence reports. We present an automated system for ranking intelligence reports with regard to coverage of relevant material.