| tech,0-1-C04-1103,bq | <term> referring expressions </term> . <term> | Machine | transliteration/back-transliteration </term> | #5729 The evaluation using another 23 subjects showed that the proposed method could effectively generate proper referring expressions.Machine transliteration/back-transliteration plays an important role in many multilingual speech and language applications. |
| tech,4-1-I05-2014,bq | <term> evaluation metrics </term> for <term> | Machine | Translation ( MT ) systems </term> , such | #7682 Automatic evaluation metrics forMachine Translation (MT) systems, such as BLEU or NIST, are now well established. |
| tech,15-1-E06-1004,bq | considerable importance to <term> Statistical | Machine | Translation ( SMT ) </term> but which have | #9938 In this paper we study a set of problems that are of considerable importance to Statistical Machine Translation (SMT) but which have not been addressed satisfactorily by the SMT research community. |
| tech,19-1-C88-1007,bq | <term> Isomorphic Grammars </term> for <term> | Machine | Translation </term> pioneered by Landsbergen | #15019 This paper discusses the application of Unification Categorial Grammar (UCG) to the framework of Isomorphic Grammars forMachine Translation pioneered by Landsbergen. |
| tech,4-1-C88-2160,bq | </term> . A new approach for <term> Interactive | Machine | Translation </term> where the <term> author | #15643 A new approach for Interactive Machine Translation where the author interacts during the creation or the modification of the document is proposed. |
| tech,7-3-A94-1017,bq | proposed a model , <term> TDMT ( Transfer-Driven | Machine | Translation ) </term> , that translates a | #20238 We have already proposed a model, TDMT (Transfer-Driven Machine Translation), that translates a sentence utilizing examples effectively and performs accurate structural disambiguation and target word selection. |
