Sentence examples for machine translation strategy from inspiring English sources

These components include a low time consuming text-to-gloss machine translation strategy and LIBRAS dictionaries to minimize the computational resources needed to generate the LIBRAS window in real-time.

LibrasTV also uses strategies, such as a low time consuming text-to-gloss machine translation strategy and SL dictionaries to minimize the computational resources needed to generate the sign language window in real-time.

These works focus on the synthesis of LIBRAS signs [2] or in the presentation of signs in the SignWriting1 language [38], but there is no proposal for investigating strategies for machine translation to LIBRAS.

Google Translate is a server-side machine translation service, which can translate between 80 different languages.

Most implementations of Neural Machine Translation (NMT) models employ a padding strategy when processing a mini-batch to make all sentences in a mini-batch have the same length.

Relatively, typical automatic machine translation system automatically translate given words, phrases, and sentences into another language.

Morrissey [31] proposed an example-based machine translation (EBMT) system for translating text into ISL.

However, the authors think that "the combination of machine-translated text with subsequent post-editing by humans could be another translation strategy that reduces time and produces quality translations".

LibrasTV also uses some strategies, such as low time consuming, text-to-gloss machine translation and LIBRAS dictionaries to minimize the computational resources needed to generate the LIBRAS windows in real-time.

Google Translate is an easily available free online machine translation tool for 80 languages worldwide.

Dakwak's least expensive option is a machine translation, while professional translations are performed by Gengo's translators.