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In the process of encoding, the sender (i.e. encoder) uses verbal (e.g. words, signs, images, video) and non-verbal (e.g. body language, hand gestures, face expressions) symbols for which he or she believes the receiver (that is, the decoder) will understand. The symbols can be words and numbers, images, face expressions, signals and/or actions.
To coin a word to refer to a thing, the community must agree on a simple meaning (a denotative meaning) within their language, but that word can transmit that meaning only within the language's grammatical structures and codes. Codes also represent the values of the culture, and are able to add new shades of connotation to every aspect of life.
Decoding, in semiotics, is the process of interpreting a message sent by an addresser (sender) to an addressee (receiver). The complementary process – creating a message for transmission to an addressee – is called encoding .
The simple view of reading is that reading is the product of decoding and language comprehension. In this context, “reading” refers to “reading comprehension”, “decoding” is simply recognition of written words [1] and “language comprehension” means understanding language, whether spoken or written.
Aberrant decoding or aberrant reading is a concept used in fields such as communication and media studies, semiotics, and journalism about how messages can be interpreted differently from what was intended by their sender.
The Viterbi algorithm is a dynamic programming algorithm for obtaining the maximum a posteriori probability estimate of the most likely sequence of hidden states—called the Viterbi path—that results in a sequence of observed events. This is done especially in the context of Markov information sources and hidden Markov models (HMM).
Linear A and Cretan hieroglyphs are scripts from an unknown language, one possibility being a yet to be deciphered Minoan language. [1] Several words have been decoded from the scripts, but no definite conclusions on the meanings of the words have been made. Phaistos Disc, c. 2000 BC. Linear A, c. 1800 BC – 1450 BC, partially deciphered ...
The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .