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In the last example, it is highly unlikely that fish is the subject and so that word order can be used. In some languages, auxiliary rules of word order can provide enough disambiguation for an emphatic use of OVS. For example, declarative statements in Danish are ordinarily SVnO, with "n" being is the position of negating or modal adverbs ...
In linguistic typology, subject–verb–object (SVO) is a sentence structure where the subject comes first, the verb second, and the object third. Languages may be classified according to the dominant sequence of these elements in unmarked sentences (i.e., sentences in which an unusual word order is not used for emphasis).
In German, word order can be used as a means to emphasize a constituent in an independent clause by moving it to the beginning of the sentence. This is a defining characteristic of German as a V2 (verb-second) language, where, in independent clauses, the finite verb always comes second and is preceded by one and only one constituent.
For example, the German sentence Ich esse oft Rinderbraten (I often eat roast beef) is in the standard SVO word order, with the adverb oft (often) immediately after the verb. However, if that adverb is moved to the beginning of the sentence for emphasis, the subject ich (I) is moved to the third position, which places the sentence in VSO order ...
OSV is rarely used in unmarked sentences, which use a normal word order without emphasis. Most languages that use OSV as their default word order come from the Amazon basin, such as Xavante, Jamamadi, Apurinã, Warao, Kayabí and Nadëb. [1] Mizo language also uses OSV in unmarked sentences. Here is an example from Apurinã: [1]
A sentence outline is a tool for composing a document, such as an essay, a paper, a book, or even an encyclopedia. It is a list used to organize the facts or points to be covered, and their order of presentation, by section.
An n-gram is a sequence of n adjacent symbols in particular order. [1] The symbols may be n adjacent letters (including punctuation marks and blanks), syllables , or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome.
In 1987, Robert B. Allen demonstrated the use of feed-forward neural networks for translating auto-generated English sentences with a limited vocabulary of 31 words into Spanish. In this experiment, the size of the network's input and output layers was chosen to be just large enough for the longest sentences in the source and target language ...