[PDF] Top 20 Evaluation Metrics for Knowledge Based Machine Translation

... Evaluation Metrics for Knowledge Based Machine Translation Evahmtion Metrics t'oi Knowledge Based Machine Translation E r i c I1 N y b e r g , 3 r d T e r u k o M i t a m u r a J a i m c G C a r b o n[.] ... See full document

... the geometric distance between their vectors. On this basis, Le and Mikolov (2014) extend word-level representation to sentence and document level, which allows them to compute the similarity between two sequence of ... See full document

... its machine translations, and its reference translations, we compute the average rank of the reference translations within the combined machine and reference translation ...statistical machine ... See full document

... all metrics identify them well. All metrics are sorted by dis- criminative power from best to worst, ...i.e. metrics at the top of the table require less samplings to tell one synthetic dataset from ... See full document

... uation as a substitute for human assessment. Subsequently, the performance of a given met- ric is measured by its strength of correlation with human judgment. When a newly pro- posed metric achieves a stronger ... See full document

... Given phrases, our metric evaluates translations with three key parts, including calculating phrase similarity, allocating weight to each phrase, and finding a maximum similarity map. For the first part, we not only ... See full document

... In the TAC summarization track, human judges scored each model and candidate summary with a readability score from 1 to 5 (5 means most read- able). Thus in our setting, instead of a pair of texts, the training input ... See full document

... representation based metric associates hypothesis 2 with a much higher score than that of hypothesis 1, namely ...RAE based metric considers this translation is almost identical to the ... 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

... these metrics on STS task and on the paraphrase recognition task: while MT metrics show acceptable performance distinguish- ing the border regions, ...4.2 Evaluation of Metric Combination We examine ... See full document

... Sometimes, we cannot give exact answers to superlative questions like what is the first book Sherlock Holmes appeared in?. For this example, we can give all book names where Sherlock Holmes appeared in, but we cannot ... See full document

... embedding, based on which, correspond- ing semantic tuples are generated with a neural- network-based hierarchical ...the knowledge base is organized in a tree structure, the tuples can be seen as ... See full document

... Thirdly, it is the n-gram based position differ- ence penalty (NPosPenal). This factor is de- signed to achieve the penalty for the different order of successfully matched words in reference sentence and ... See full document

... a translation model trained using a parallel corpus without function words achieved higher accuracy than a model trained us- ing full sentences on CLQA using documents or web pages, although it is not clear ... See full document

... MT evaluation methods are grounded on the following key idea: the closer an MT is to a professional Human Translation (HT), the higher its ...Thus, metrics typ- ically calculate evaluation ... 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

... other evaluation metrics for MT evalua- tion at the document and system ...ation metrics, namely BLEU, TER and METEOR, 2 are selected for ...of evaluation metrics: n-gram, edit- ... See full document

... the evaluation of sentence sim- plification, BLEU is a more appropriate metric than Flesch-Kincaid or a similar readability metric, al- though it should be noted that BLEU was found only to correlate significantly ... 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 ...learning based approach and target language ... See full document

... Machine translation (MT), which is a field of NLP, can be employed for the translation of speech or text in a source language (SL) into the target language ...optimal translation devoid of any ... See full document