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The New Living Translation used translators from a variety of Christian denominations.The method combined an attempt to translate the original texts simply and literally with a dynamic equivalence synergy approach used to convey the thoughts behind the text where a literal translation may have been difficult to understand or even misleading to modern readers.
Featuring a brand new set of notes and features put together by what Tyndale calls "a dream team of today's top Bible scholars", [1] the NLT Study Bible "focuses on the meaning and message of the text as understood in and through the original historical context." [2] In print form, the NLT Study Bible contains 2528 pages of material. It is also ...
In 1996, a new revision of Taylor's Living Bible was published. This New Living Translation is a full translation from the original languages rather than a paraphrase of the Bible. Another project aimed to create something in between the very literal translation of the King James Bible and the more informal Good News Bible.
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A literal translation tries to remain as close to the original text as possible, without adding the translators' ideas and thoughts into the translation. Thus, the argument goes, the more literal the translation is, the less danger there is of corrupting the original message.
NLT may refer to: NLT (band), an American boy band (active 2006–2009) National Literacy Trust, a British charity (formed 1992) New Living Translation of the Bible (published 1996) New Looney Tunes, a television show (aired 2015–2020) Northolt Park railway station, Greater London, England (opened 1926)
MTBF—Mean Time Between Failures; MTU—Maximum Transmission Unit; MT—Machine Translation; MUA—Mail User Agent; MUD—Multi-User Dungeon; MU—Memory Unit; MVC—Model-View-Controller; MVP—Most Valuable Professional; MVS—Multiple Virtual Storage; MWC—Mobile World Congress; MXF—Material Exchange Format; MX—Mail exchange
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
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