Recently, artificial gene networks have been developed in synthetic biology to control gene expression and make organisms as controllable as robots. Here, I present an artificial posttranslational gene-silencing system based on the codon usage bias and low tRNA content corresponding to minor codons. I engineered the green fluorescent protein (GFP) gene to inhibit translation indirectly with the...

Maintenance of optimal rates of protein synthesis in both liver and skeletal muscle requires a continuous supply of essential amino acids is a prerequisite for. Deprivation of even a single essential amino acid causes a decrease in the synthesis of essentially all cellular proteins through an inhibition of the initiation phase of mRNA translation. However, the synthesis of all proteins is not r...

Machine translation of a source language sentence involves selecting appropriate target language words and ordering the selected words to form a well-formed target language sentence. Most of the previous work on statistical machine translation relies on (local) associations of target words/phrases with source words/phrases for lexical selection. In contrast, in this paper, we present a novel ap...

Le travail de la traduction orale Bible (OBT) s’effectuant principalement en Afrique, conférence intitulée Oral Translation Global Gathering 2023 s’est tenue du 10 au 12 janvier à Entebbe, Ouganda. Plus 140 participants, issus 43 pays, représentant des organisations telles que Faith Comes by Hearing, SIL, Seed Company, Wycliffe Alliance, United Societies, Word for the World, ETEN et YWAM, pour ...

(MT) technology at Ford Motor Company since the late 1990s. Our initial goal was to utilize MT to translate vehicle build instructions from English to the native languages in the countries and regions where our assembly plants are located. The source text utilized a controlled language that we developed, called Standard Language, and we initially thought that applying MT technology would be a s...

Statistical Machine Translation has come a long way improving the translation quality of a range of different linguistic phenomena. With negation however, techniques proposed and implemented for improving translation performance on negation have simply followed from the developers’ beliefs about why performance is worse. These beliefs, however, have never been validated by an error analysis of ...