[PDF] Top 20 Knowledge Representation and Machine Translation

... KNOWLEDGE REPRESENTATION AND MACHINE TRANSLATION COLING 82, J Horeck?) fed ) North Holland Publishing Company (~ Arademia 1982 KNOWLEDGE REPRESENTATION AND MACHINE TP~ANSLATION Susumu Sawai, Hiromichi[.] ... See full document

... a knowledge representation theory al- lowing the reusability of some properties through computa- tion ...in translation is a complementary task, and part of a complex module computing the proper ... See full document

... In order to evaluate the performance of the different systems, we used BLEU (Papineni et al., 2002), an automatic evaluation that boasts high correlation with human judgements, and translation error rate (TER) ... See full document

... statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the basic unit of translation is the morpheme, but word boundaries are ... See full document

... IBM Models (Brown et al., 1993) depict- ed the word reordering knowledge as position- al relations between source and target word- s. Koehn et al. (2003) proposed a distortion model for phrase-based SMT based on ... See full document

... word representation models into two types of at- tentional machine translation ...their translation performance as well as their abil- ity to recover synonyms for the rare ...end ... See full document

... Beside speech translation, the presented phrase- table data structure has other interesting applica- tions. One of them is online MT, i.e. an MT sys- tem that is able to translate unseen sentences with- out ... See full document

... put language directly at training time, thus, avoid- ing the burden of a separate and sub-optimal word segmentation step. We compare our approach against conventional embedding-based represen- tations learned from ... See full document

... The Meteor metric has been shown to have high correlation with human judgments in eval- uation such as the 2010 ACL Workshop on Sta- tistical Machine Translation and NIST Metrics MATR (Callison-Burch et ... See full document

... Neural Machine Translation (NMT) (Sutskever, Vinyals, and ...to machine translation that has shown remarkable superiority over conventional statisti- cal machine translation ... See full document

... The annotations are placed in a “n” tag that has the attribute “translation” to hold the translation recommendation for the corresponding source word. The decoder parses the XML input and creates two ... See full document

... Another Stride Towards Knowledge Based Machine Translation A n o t h e r St ride T o w a rds K n o w l e d g e B a s e d M a c h i n e T r a n s l a t i o n Masaru Tomita Jaime G Carbonell Computer Sc[.] ... See full document

... for translation directions where the target language is morphologically rich and where the surrounding context is essential to accurately predicting a word’s case and agree- ... See full document

... Asian Translation (WAT) is an open machine translation evaluation campaign focusing on Asian ...and knowledge of Asian language translation to understand the problems to be solved for ... See full document

... a knowledge-intensive process, which must take into account all variable information about the speech communication process, from acoustics to semantics and ...based machine translation technique ... See full document

... The semantic representation of spatial configurations a conceptual motivation for generation in Machine Translation The semantic representation of spatial configurations a conceptual motivation for ge[.] ... See full document

... ON KNOWLEDGE BASED MACHINE TRANSLATION O N K N O W L E D G E B A S E D M A C H I N E TRANSLATION Sergei Nirenburg*, Victor Raskin** az/d Alien Tucker* ABSTRACT This paper describes the design of tile[.] ... See full document

... dependency representation to improve translation ...Dependency Representation (SDR) to compute dependency context vectors and alignment matrices in a more sophisticated manner, which has the ... See full document

... Portable Knowledge Sources for Machine Translation P o r t a b l e K n o w l e d g e S o u r c e s for M a c h i n e T r a n s l a t i o n K o i < ' h i ']~ake d a T o k y o R e s e a r c h L a l > o[.] ... See full document

... Using this feature, sentences were divided into literal parts and non-literal parts, and transfer rules that could be applied with strong conditions were generated from the non-literal p[r] ... See full document