Referential Translation Machines for Predicting Translation Performance
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Summary
Referential translation machines achieve to become 1st in documentlevel, 4th system at sentence-level according to mean absolute error, and 4th in phrase-level prediction of translation quality in quality estimation task.
- Type
- article
- Published
- 2016-01-01
- Cited by
- 5
- References
- 19
- Access
- Open access
- OpenAlex
- https://openalex.org/W2513945636
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8787879
Keywords
Machine translation, Computer science, Task (project management), Natural language processing, Artificial intelligence
References
- Referential Translation Machines for Predicting Translation Quality
- A tutorial on support vector regression
- Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
- Extremely randomized trees
- Moses: Open Source Toolkit for Statistical Machine Translation
- Referential Translation Machines for Quality Estimation
- Scalable Modified Kneser-Ney Language Model Estimation
- Gene Selection for Cancer Classification using Support Vector Machines
- A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION
- Estimating the Sentence-Level Quality of Machine Translation Systems
- ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
- Referential Translation Machines for Predicting Translation Quality and Related Statistics
- Referential translation machines for predicting semantic similarity
- RTM at SemEval-2016 Task 1: Predicting Semantic Similarity with Referential Translation Machines and Related Statistics
- A Study of Translation Edit Rate with Targeted Human Annotation
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