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If the dictionary is intended to help translate texts, it will need to include not only equivalents but also collocations and phrases translated into the relevant target language. It has also been shown that specialized translation dictionaries for learners should include data that help users translate difficult syntactical structures as well ...
Since its founding Reverso has provided machine translation tools for automated translation of texts in various languages, including neural machine translation. Reverso Context is an online and mobile application combining big data from large multilingual corpora to allow users to search for translations in context.
For example, a Latinate word might enter English by way of Old French, but enter Spanish directly from Latin. Such differences can introduce changes in spelling and meaning. Although most of the cognates have at least one meaning shared by English and Spanish, they can have other meanings that are not shared.
For example, if we translate a cleft sentence such as "It was Juan who lost the keys", we get Fue Juan el que perdió las llaves. Whereas the English sentence uses a special structure, the Spanish one does not. The verb fue has no dummy subject, and the pronoun el que is not a cleaver but a nominalising relative pronoun meaning "the [male] one ...
It offers paid subscription DeepL Pro, which has been available since March 2018 and includes application programming interface access and a software plug-in for computer-assisted translation tools, including SDL Trados Studio. [11] Unlike the free version, translated texts are stated to not be saved on the server; also, the character limit is ...
The "Alternatives to Detention" program is tracking more than 25,000 migrants using ankle and wrist-worn monitors, which costs taxpayers an average of nearly $80,000 each day, according to ICE data.
Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .
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