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The word-based translation is not widely used today; phrase-based systems are more common. Most phrase-based systems are still using GIZA++ to align the corpus [citation needed]. The alignments are used to extract phrases or deduce syntax rules. [11] And matching words in bi-text is still a problem actively discussed in the community.
Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.
Paraphrase can also be generated through the use of phrase-based translation as proposed by Bannard and Callison-Burch. [6] The chief concept consists of aligning phrases in a pivot language to produce potential paraphrases in the original language. For example, the phrase "under control" in an English sentence is aligned with the phrase "unter ...
Predictive text could allow for an entire word to be input by single keypress. Predictive text makes efficient use of fewer device keys to input writing into a text message, an e-mail, an address book, a calendar, and the like. The most widely used, general, predictive text systems are T9, iTap, eZiText, and LetterWise/WordWise. There are many ...
Gramogram: a word or sentence in which the names of the letters or numerals are used to represent the word; Lipogram: a writing in which certain letter is missing Univocalic: a type of poetry that uses only one vowel; Palindrome: a word or phrase that reads the same in either direction; Pangram: a sentence which uses every letter of the ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.
The Postmodernism Generator is a computer program that automatically produces "close imitations" of postmodernist writing. It was written in 1996 by Andrew C. Bulhak of Monash University using the Dada Engine, a system for generating random text from recursive grammars. [1] A free version is also hosted online.
An English language pangram being used to demonstrate the Bitstream Vera Sans typeface. The best-known English pangram is "The quick brown fox jumps over the lazy dog". [1]It has been used since at least the late 19th century [1] and was used by Western Union to test Telex/TWX data communication equipment for accuracy and reliability. [2]
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