American EnglishAmerican English, sometimes called United States English or U.S. English, is the set of varieties of the English language native to the United States. English is the most widely spoken language in the United States and in most circumstances is the de facto common language used in government, education and commerce. Since the late 20th century, American English has become the most influential form of English worldwide.
English languageEnglish is a West Germanic language in the Indo-European language family. It originated in early medieval England and, today, is the most spoken language in the world and the third most spoken native language, after Mandarin Chinese and Spanish. English is the most widely learned second language and is either the official language or one of the official languages in 59 sovereign states. There are more people who have learned English as a second language than there are native speakers.
English-language learnerEnglish-Language Learner (often abbreviated as ELL) is a term used in some English-speaking countries such as the United States and Canada to describe a person who is learning the English language and has a native language that is not English. Some educational advocates, especially in the United States, classify these students as non-native English speakers or emergent bilinguals.
English as a second or foreign languageEnglish as a second or foreign language is the use of English by speakers with different native languages. Language education for people learning English may be known as English as a foreign language (EFL), English as a second language (ESL), English for speakers of other languages (ESOL), English as an additional language (EAL), or English as a New Language (ENL). The aspect in which EFL is taught is referred to as teaching English as a foreign language (TEFL), teaching English as a second language (TESL) or teaching English to speakers of other languages (TESOL).
PhonicsPhonics is a method for teaching people how to read and write an alphabetic language (such as English or Russian). It is done by demonstrating the relationship between the sounds of the spoken language (phonemes), and the letters or groups of letters (graphemes) or syllables of the written language. In English, this is also known as the alphabetic principle or the alphabetic code. While the principles of phonics generally apply regardless of the language or region, the examples in this article are from General American English pronunciation.
Synthetic phonicsSynthetic phonics, also known as blended phonics or inductive phonics, is a method of teaching English reading which first teaches the letter sounds and then builds up to blending these sounds together to achieve full pronunciation of whole words. Synthetic phonics refers to a family of programmes which aim to teach reading and writing through the following methods: Teaching students the correspondence between written letters (graphemes) and speech sounds (phonemes).
Phonemic orthographyA phonemic orthography is an orthography (system for writing a language) in which the graphemes (written symbols) correspond to the phonemes (significant spoken sounds) of the language. Natural languages rarely have perfectly phonemic orthographies; a high degree of grapheme–phoneme correspondence can be expected in orthographies based on alphabetic writing systems, but they differ in how complete this correspondence is.
Speech recognitionSpeech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.
ReadingReading is the process of taking in the sense or meaning of letters, symbols, etc., especially by sight or touch. For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation. Other types of reading and writing, such as pictograms (e.g., a hazard symbol and an emoji), are not based on speech-based writing systems.
Bengali languageBengali (bɛnˈɡɔːli ), generally known by its endonym Bangla (বাংলা, ˈbaŋla), is an Indo-Aryan language native to the Bengal region of South Asia. With approximately 300 million native speakers and another 50 million as second language speakers, Bengali is the sixth most spoken native language and the seventh most spoken language by the total number of speakers in the world. Bengali is the fifth most spoken Indo-European language. Bengali is the official, national, and most widely spoken language of Bangladesh, with 98% of Bangladeshis using Bengali as their first language.
Facial recognition systemA facial recognition system is a technology potentially capable of matching a human face from a or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. Development began on similar systems in the 1960s, beginning as a form of computer application. Since their inception, facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics.
Voice user interfaceA voice-user interface (VUI) makes spoken human interaction with computers possible, using speech recognition to understand spoken commands and answer questions, and typically text to speech to play a reply. A voice command device is a device controlled with a voice user interface. Voice user interfaces have been added to automobiles, home automation systems, computer operating systems, home appliances like washing machines and microwave ovens, and television remote controls.
Affective computingAffective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper on affective computing and her book Affective Computing published by MIT Press.
