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German sentence structure is the structure to which the German language adheres. The basic sentence in German follows SVO word order. [1] Additionally, German, like all west Germanic languages except English, [note 1] uses V2 word order, though only in independent clauses. In dependent clauses, the finite verb is placed last.
German declension is the paradigm that German uses to define all the ways articles, adjectives and sometimes nouns can change their form to reflect their role in the sentence: subject, object, etc. Declension allows speakers to mark a difference between subjects, direct objects, indirect objects and possessives by changing the form of the word—and/or its associated article—instead of ...
A famous example for lexical ambiguity is the following sentence: "Wenn hinter Fliegen Fliegen fliegen, fliegen Fliegen Fliegen hinterher.", meaning "When flies fly behind flies, then flies fly in pursuit of flies." [40] [circular reference] It takes advantage of some German nouns and corresponding verbs being homonymous. While not noticeable ...
The following example can illustrate the general frame of RBMT: A girl eats an apple. Source Language = English; Demanded Target Language = German. Minimally, to get a German translation of this English sentence one needs: A dictionary that will map each English word to an appropriate German word.
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).
instead of the regular [SOV] sentence "John Mary'yi terk etti" (Lit. John/Mary/left). German, Dutch, and Kashmiri display the order subject-verb-object in some, especially main clauses, but really are verb-second languages, not SVO languages in the sense of a word order type. [7] They have SOV in subordinate clauses, as given in Example 1 below.
Example-based machine translation systems are trained from bilingual parallel corpora containing sentence pairs like the example shown in the table above. Sentence pairs contain sentences in one language with their translations into another. The particular example shows an example of a minimal pair, meaning that the sentences vary by just one ...
In the English examples, the verb roll agrees in number with cars, implying that the latter is still the syntactic subject of the sentence, despite being in a noncanonical subject position. However, in the Zulu example of locative inversion, it is the noun isikole , "school" that controls subject-verb agreement, despite not being the semantic ...
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