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Japanese is an agglutinative, synthetic, mora-timed language with simple phonotactics, a pure vowel system, phonemic vowel and consonant length, and a lexically significant pitch-accent. Word order is normally subject–object–verb with particles marking the grammatical function of words, and sentence structure is topic–comment.
O'odham is a language that is spoken in southern Arizona and Northern Sonora, Mexico. It has free word order, with only the auxiliary bound to one spot. Here is an example in literal translation: [15] "Wakial 'o g wipsilo ha-cecposid." [Cowboy is the calves them branding.] (The cowboy is branding the calves.) "Wipsilo 'o ha-cecposid g wakial."
BES (Basic English Sentence) Search is a non-commercial tool for finding beginner-level English sentences for use in teaching materials. [31] It has over 1 million sentences, most of them from Tatoeba. [32] Reverso uses Tatoeba parallel corpora in its commercial bilingual concordancer. [33] Example sentences are also used as a base for exercises.
Kaqchikel's basic structure is VOS, but the language allows for other word orders such as SVO. Since the language is head-marking, a sentence focuses on the subject that is before the verb. A sentence may be either VOS or VSO if switching the subject and the object semantically changes the meaning, but VOS is more common.
A sentence diagram is a pictorial representation of the grammatical structure of a sentence. The term "sentence diagram" is used more when teaching written language, where sentences are diagrammed. The model shows the relations between words and the nature of sentence structure and can be used as a tool to help recognize which potential ...
A DMT system is designed for a specific source and target language pair and the translation unit of which is usually a word. Translation is then performed on representations of the source sentence structure and meaning respectively through syntactic and semantic transfer approaches. A transfer-based machine translation system involves three ...
The translation then proceeds by converting sentences from the first language into sentences closer to the target language through two stages. The system may also be set up such that the second interlingua uses a more specific vocabulary that is closer, or more aligned with the target language, and this could improve the translation quality.
The main approach of RBMT systems is based on linking the structure of the given input sentence with the structure of the demanded output sentence, necessarily preserving their unique meaning. The following example can illustrate the general frame of RBMT: A girl eats an apple. Source Language = English; Demanded Target Language = German