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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.
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 ...
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 ...
Repetition is the simple repeating of a word, within a short space of words (including in a poem), with no particular placement of the words to secure emphasis.It is a multilinguistic written or spoken device, frequently used in English and several other languages, such as Hindi and Chinese, and so rarely termed a figure of speech.
An alternative direction is to aggregate word embeddings, such as those returned by Word2vec, into sentence embeddings. The most straightforward approach is to simply compute the average of word vectors, known as continuous bag-of-words (CBOW). [9] However, more elaborate solutions based on word vector quantization have also been proposed.
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]