Syntactic disfluencies in Arabic-to-English phrase-based SMT output are often due to incorrect verb reordering in Verb-Subject-Object sentences. As a solution, we propose a chunk-based reordering ...

"Things changed around 15 years, from a previous concentration on rule based, linguistic methods, looking at the syntax, morphology (patterns of word formation) and so on, to the statistical methods, ...

Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know—that the best translation of a word often ...

We offer a perspective on EBMT from a statistical MT standpoint, by developing a three-dimensional MT model space based on three pairs of definitions: (1) logical versus statistical MT, (2) ...

As one of the most well known providers of global information content management, SDL spends a lot of time and energy ensuring their solution meets the needs of today's market. According to SDL CEO ...

Dublin, Dec. 18, 2023 (GLOBE NEWSWIRE) -- The "Machine Translation Market Size, Share & Trends Analysis Report By Application (Automotive, Military & Defense, Electronics, IT, Healthcare, Others), By ...

Scientists have been trying to automatically translate languages for almost as long as computers have been in existence. So why is it so hard? Earlier this year, the Malaysian Ministry of Defence ...

TOKYO, Jan. 24, 2023 (GLOBE NEWSWIRE) -- The Global Machine Translation Market Size gathered USD 812.6 Million in 2021 and is set to garner a market size of USD 4,069.5 Million by 2030 growing at a ...