[PDF] Top 20 Combining Outputs from Multiple Machine Translation Systems
Has 10000 "Combining Outputs from Multiple Machine Translation Systems" found on our website. Below are the top 20 most common "Combining Outputs from Multiple Machine Translation Systems".
Combining Outputs from Multiple Machine Translation Systems
... In machine translation, aligning hypotheses is more complicated compared to speech recognition since the target words do not necessarily appear in the same ... See full document
8
Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... of translation memory software, translation companies and freelance translators have been accumulating translated text for various languages and ...domain-specific machine translation ... See full document
11
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
... of combining translation outputs provided from different research ...Each translation system corresponds to a primary system submitted to the NIST MT06 evaluation 3 ...primary ... See full document
10
Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
... combination systems assume that the input systems provide some internal informa- tion about the system, such as phrases used by the system, and the task is to re-decode the source sen- tence using this ... See full document
8
Building a Non Trivial Paraphrase Corpus Using Multiple Machine Translation Systems
... using machine translation and Quality ...differ from ours in that they aim to ac- quire phrase level paraphrase rules and carry out word alignment instead of machine ... See full document
7
Mixing Multiple Translation Models in Statistical Machine Translation
... differs from the model combina- tion approach of DeNero et ...ple systems, in that model combination uses forest of derivations of all component models to do the ...expectations from each component ... See full document
10
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... translations from the systems used in system combina- ...other systems meant that it was hard to improve on when combining ...component systems more often than last year. • Fewer ... See full document
37
Automatic Evaluation Method for Machine Translation Using Noun Phrase Chunking
... As described in this paper, we propose a new automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly deter- mines the matching words between two sentences using ... See full document
10
Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features
... assume that we partially address this problem by us- ing ratios of source to target features (length, syn- tactic constituents), which means that in order for a sentence to trick the metric, it would need a com- parable ... See full document
6
Combining Outputs of Multiple Japanese Named Entity Chunkers by Stacking
... for combining outputs of (Japanese) named entity chunkers, which belongs to the family of stacking ...on machine learning ...right from the current ... See full document
8
A machine translation system combining rule based machine translation and statistical post editing
... baseline translation is perfectly equal to the reference ...EIWA’s translation is more literal than baseline ...evaluation. Multiple references by additional translation or scrambling of ... See full document
5
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
... affect machine translations systems that train on mined parallel ...structured outputs and apply it to the outputs of a statistical machine translation system with the goal of ... See full document
10
Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
... SMT systems extract translation rules from word aligned parallel training ...SMT systems use unsupervised algorithms ...the translation gram- mars extracted from different ...by ... See full document
7
Combining Translation Memory with Neural Machine Translation
... overall translation accuracy of each NMT system and production system on the concatenated data ...NMT systems and the production systems without translation ...NMT systems and online ... See full document
8
Combining Multiple Alignments to Improve Machine Translation
... alignments from a single alignment ...WAMs from alignments generated by different models (includ- ing MBR-based and refined ...obtained from the same model, and a higher weight denotes that the ... See full document
12
Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis Alignment
... multi-engine machine trans- lation has also been performed in recent ...of translation, language, and other mod- els (Nomoto, 2004; Paul et ...lists from several different MT systems ... See full document
8
Using Language and Translation Models to Select the Best among Outputs from Multiple MT Systems
... ????? ??????? ?? ????? ????? ?? ? ?? ? ?? ?? ? ?? ????? ??????? ???? ?? ??? ?? ???? ?? ???????? ???? ??? ???????? ??? ???????? ?????? ??? ?? ?? ??? ?? ? ????????? ? ???????? ??? ??? ???? ????? ?? ????[.] ... See full document
7
Comparative Quality Estimation: Automatic Sentence Level Ranking of Multiple Machine Translation Outputs
... the machine learning question in a much simplified ...many machine learning algorithms for the classification, including those which only operate on a binary ...tied outputs with the other ... See full document
18
Indirect HMM based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
... indirectly from a variety of sources including word semantic similarity, word surface similarity, and a distance- based distortion penalty, without using large amount of training ... See full document
10
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation
... Table 6 shows performance as we append the top-k ranked translations for each OOV word and vary k. With the exception of Bengali, using a k greater than 1 does not increase performance. In the case of Bengali, and ... See full document
9
Related subjects