[PDF] Top 20 Statistical Significance Tests for Machine Translation Evaluation
Has 10000 "Statistical Significance Tests for Machine Translation Evaluation" found on our website. Below are the top 20 most common "Statistical Significance Tests for Machine Translation Evaluation".
Statistical Significance Tests for Machine Translation Evaluation
... As in the previous section, we use a bootstrap re- sampling method for this: Given a small collection of translated sentences, we repeatedly (say, 1000 times) create new virtual test sets by drawing sen- tences with ... See full document
8
On Statistical Machine Translation and Translation Theory
... both translation and evaluation. At translation time, domain adaptation techniques increase the likelihood of correct translations on average, but they do not provide the MT system with any inform- ... See full document
5
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
... Table 2: Performance on the WMT12 corpus The official evaluation scores of the testing re- sults on WMT 13 corpus are shown in Table 3. The testing results show similar scores as com- pared to the training scores ... See full document
8
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
... full translation process, it does not make sense to define an a-priori gold standard or correct phrasal segmentation for a given sentence independently of the ...the translation lexicons as resources, we ... See full document
8
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- guistic ... See full document
10
Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation
... current evaluation metrics for MT, is that they do not take grammar into ...the translation results on three crude measures based on the grammar checker with the results on two stan- dard metrics: Bleu ... See full document
7
Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation
... the translation with high frequency words from the same word ...the translation step, the surrogate words are replaced with the original ...rect translation of the original ... See full document
5
Improving Translation Quality by Discarding Most of the Phrasetable
... of Statistical Machine Translation as well as those of testing sig- nificance of associations in two by two contingency tables departing from ... See full document
9
An Empirical Evaluation of Stop Word Removal in Statistical Machine Translation
... After applying relaxed SMT, the resulting null tokens in the translated sentences have to be replaced by the corresponding words from the set of relaxed words. As relaxed words are chosen from the top ranked words, which ... See full document
8
Continuous Measurement Scales in Human Evaluation of Machine Translation
... the significance threshold of p < ...tical tests to automatically accept/reject HITs and we believe this would be rather harsh on ...the significance threshold would still have been working in ... See full document
9
AN OVERVIEW OF COMPUTATIONAL LINGUISTICS AND MALAYALAM
... few machine translation systems are also developed in Malayalam for translating Malayalam to English and vice versa but these are not offered to the ...Based Machine Translation (RBMT) ... See full document
6
Randomized Significance Tests in Machine Translation
... MT evaluation. We carry out evaluation over a range of MT systems, not only including pairs of systems that perform equally well, but also pairs of systems for which one system performs marginally better ... See full document
9
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates ... See full document
8
Statistical machine translation based on translation rules
... complete statistical machine translation system by integrating the advantages of string-tree model and hierarchical phrase ...of translation rules and the property of translation ...the ... See full document
8
Improving Pronoun Translation for Statistical Machine Translation
... An analysis of the judgements on the remain- ing three evaluation criteria (outlined in Section 4.4) for the 31 differences provides further infor- mation. The Baseline system appears to be more accurate, with 19 ... See full document
10
Post Editing System For Statistical Machine Translation
... Here in this example two corrections are made by SPE i.e. ਯਤਨ and ਿਹੱਿਸਆਂ with improved BLEU Score 0.8249 which was 0.7846 earlier in SMT system. But one error is still present in the post-edited sentence. So the words ... See full document
6
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... automatic evaluation of machine translation (MT) has proven to be a very significant research ...automatic evaluation methods focus on the evalua- tion of the output of MT as they compute ... See full document
9
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... We run ParFDA SMT experiments for all lan- guage pairs in both directions in the WMT15 translation task (Bojar et al., 2015), which include English-Czech (en-cs), English-German (en-de), English-Finnish (en-fi), ... See full document
5
Stacking for Statistical Machine Translation
... in machine learning with the aim of reduc- ing the instability of classifiers and regressors and/or increase their ...tical machine translation community in various work (Xiao et ... See full document
6
NAVER Machine Translation System for WAT 2015
... We used 1 million sentence pairs that are con- tained in train-1.txt of ASPEC-JE corpus for training the translation rule tables and NMT models. We also used 3 million Japanese sen- tences that are contained in ... See full document
5
Related subjects