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  2. Data entry - Wikipedia

    en.wikipedia.org/wiki/Data_entry

    Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [ 1 ] and is "one of the important basic" [ 2 ] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.

  3. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    Word count is commonly used by translators to determine the price of a translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]

  4. Diploma in Teaching English to Speakers of Other Languages

    en.wikipedia.org/wiki/Diploma_in_Teaching...

    The written examination, which previously consisted of a number of essay questions, now uses pieces of data (such as samples of students’ work, authentic texts and published ELT materials) for analysis, comment and evaluation. Candidates of the current qualification are not required to write traditional academic essays.

  5. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

  6. Automated essay scoring - Wikipedia

    en.wikipedia.org/wiki/Automated_essay_scoring

    Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a form of educational assessment and an application of natural language processing. Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding ...

  7. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    Skip-Thought trains an encoder-decoder structure for the task of neighboring sentences predictions; this has been shown to achieve worse performance than approaches such as InferSent or SBERT. An alternative direction is to aggregate word embeddings, such as those returned by Word2vec , into sentence embeddings.

  8. Encoding/decoding model of communication - Wikipedia

    en.wikipedia.org/wiki/Encoding/decoding_model_of...

    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.

  9. Data Matrix - Wikipedia

    en.wikipedia.org/wiki/Data_Matrix

    A Data Matrix on a Mini PCI card, encoding the serial number 15C06E115AZC72983004. The most popular application for Data Matrix is marking small items, due to the code's ability to encode fifty characters in a symbol that is readable at 2 or 3 mm 2 (0.003 or 0.005 sq in) and the fact that the code can be read with only a 20% contrast ratio. [1]