[PDF] Top 20 Semantic Evaluation of Machine Translation

... or semantic level. Within those, a light semantic resource, WordNet, is widely adopted by different metrics as a thesaurus to allow matching of synonyms, for instances, METEOR (Banerjee & Lavie, 2005), ... See full document

... improve translation performance, we evaluate the impact of training the PBSMT system on more than the Europarl data used for controlled comparison with ...combine translation, reordering and language models ... See full document

... Our proposed KBSE relies on the knowledge base. To get the semantic vector of source sentence, our semantic space should be able to represent any necessary information in the sentence. For ex- ample, since ... See full document

... using semantic relationships ...i.e. Semantic mapper where the English semantic word is mapped to the Sanskrit semantic word (Sanskrit word in English) ... See full document

... and machine evaluation of machine translation; using NLP, automatic tools and techniques to study and extract meaningful patterns from interpreting, human translation, and manual ... See full document

... In this paper, we use semantic role labels to en- rich a string-to-tree translation system, and show that this approach can increase the BLEU (Pap- ineni et al., 2002) score of the translations. We extract ... See full document

... of semantic reasoning” under just one ...specific semantic phenomena for two ...the semantic pheno- mena considered here. Second, we believe these semantic phenomena might be relevant for ... See full document

... EVALUATION OF MACHINE TRANSLATION E V A L U A T I O N O F M A C H I N E T R A N S L A T I O N John S White, Theresa A O'Connell P R C Inc M c L e a n , V A 2 2 1 0 2 a n d Lynn M Carlson D o D A B S T[.] ... See full document

... Phrase information has been used in several evaluation methods. In the work of Giménez and Màrquez (2007), overlapping is calculated on the set of words within a same phrase type, and sequences of phrase types are ... See full document

... MT evaluation techniques have found appli- cation in the field of entailment recognition, a close relative of semantic equivalence determina- tion that seeks methods for deciding whether the information ... See full document

... Corpus based annotated test set for Machine Translation evaluation by an Industrial User Corpus based annotated test set for Machine Translation evaluation by an Industrial User Eva DAUPHIN and V~roni[.] ... See full document

... shallow semantic analysis, such as semantic role labeling and word-sense disam- ...of semantic parsing, which is the con- struction of a complete, formal, symbolic, mean- ing representation (MR) of a ... See full document

... Parsing with W ASP requires a set of SCFG rules. These rules are learned using a word alignment model, which finds an optimal mapping from words to MR predicates given a set of training sentences and their correct MRs. ... See full document

... entirely machine- translated into French and post-edited by several ...an evaluation of NMT is precisely the aim of the present research ...raw translation output and the post-edited version was ... See full document

... by combining sentence- and document-level met- rics. The table shows that the two ratios LC and RC highly correlate with each other, as if they are two variants of quantifying lexical cohesion devices. The three ... See full document

... MTness instances in the use of words are NO-L2 and STR- CHAR instances; that is, lexical items that are not recog- nised as language words by the intuitive knowledge of na- tive speakers. The typed dependency tree is ... See full document

... adequate translation than tuning against BLEU or TER, as measured across all other commonly used metrics and human subjec- tive ...by semantic frames right in the training process, an MT system is ... See full document

... Evaluation in the ARPA Machine Translation Program 1993 Methodology Evaluation in the ARPA Machine Translation Program John S White, Theresa A O'Connell PRC Inc M c L e a n , VA 22102 1993 Methodology[.] ... See full document

... a semantic role based Tree-to-String (TTS) transducer by adding semantic roles to the TTS ...the semantic roles of different predicates, and did not always improve the TTS transducer’s ...the ... See full document

... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document