[PDF] Top 20 A New Syntactic Metric for Evaluation of Machine Translation
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A New Syntactic Metric for Evaluation of Machine Translation
... candidate translation, if it does not share a certain number of words with the set of ...MT evaluation that go beyond the lexical level of the phrases ... See full document
6
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
... small-scale translation datasets with manual evaluation, sentence representa- tions trained from large-scale data in other tasks can improve the automatic evaluation of machine ... See full document
6
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... domain machine translation tool developed specifically for ...Urdu Machine translation ...Bilingual Evaluation Understudy (BLEU) and the guidelines are proposed for future directions in ... See full document
8
Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length
... automatic evaluation metrics for ma- chine translation have been proposed through the metrics task on the Workshop on statis- tical Machine Translation ...automatic evaluation metrics ... See full document
7
Designing a Frame Semantic Machine Translation Evaluation Metric
... in translation. This entails that even if an original and a translation do not match very well on the formal side, they can still be related to each other in terms of semantic ...Current machine ... See full document
8
Machine Translation Evaluation using Recurrent Neural Networks
... our metric (UoW- LSTM) submitted in the WMT-15 met- rics ...state-of-the-art Machine Translation (MT) evaluation metrics are complex, involve extensive external re- sources ...a metric ... See full document
5
MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation
... automatic machine translation (MT) evaluation metric that calculates a sim- ilarity score (based on precision and recall) of a pair of ...proposed metric achieves higher correlation ... See full document
8
Meteor++ 2 0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation
... Accurate evaluation of machine translation (MT) plays an important role in measuring improvement in system ...human evaluation is time-consuming and expensive, automatic met- rics for MT have ... See full document
6
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors
... better evaluation metrics will be helpful to leading to better machine translations (Liu et ...automatic evaluation metric LEPOR, which employs rich and augmented evaluation factors ... See full document
10
Edit Distance: A Metric for Machine Translation Evaluation
... coordinated machine translation (MT) evaluations for several years using an automatic and repeatable evaluation ...edit-distance-based evaluation of ...system translation such that the ... See full document
6
Character Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
... automatic machine translation (MT) eval- uation has received a lot of research ...Statistical Machine Transla- tion (WMT) hosts regular campaigns comparing different machine translation ... See full document
9
LAYERED: Metric for Machine Translation Evaluation
... Machine Translation Evaluation is an exciting field that is attracting the researchers from the past few years and the work in this field is ...layer metric com- pared to the lexical layer ... See full document
7
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 Corpus based annotated test set for Machine Translation evaluation by an Industrial User Eva DAUPHIN and V~roni[.] ... See full document
5
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
Chinese Syntactic Reordering for Statistical Machine Translation
... Syntactic reordering approaches are an ef- fective method for handling word-order dif- ferences between source and target lan- guages in statistical machine translation (SMT) systems. This paper ... See full document
9
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... and Machine Translation (MT) make use of the knowledge and expertise of professional translators and interpreters in order to build and improve models for automatic translation or for developing more ... See full document
10
Artificial Error Generation with Machine Translation and Syntactic Patterns
... We construct a neural sequence labeling model for error detection, following the previous work (Rei and Yannakoudakis, 2016; Rei, 2017). The model receives a sequence of tokens as input and outputs a prediction for each ... See full document
6
Syntactic Category Prediction for Improving Translation Quality in English-Korean Machine Translation
... of translation evaluation by seven ...two translation results by marking ...two translation results have the same meaning or it is difficult to identify the superior ...of syntactic ... See full document
8
Targeted Paraphrasing on Deep Syntactic Layer for MT Evaluation
... In this paper, we present a method of im- proving quality of machine translation (MT) evaluation of Czech sentences via targeted paraphrasing of reference sen- tences on a deep syntactic ... See full document
8
Proceedings of the Third Conference on Machine Translation: Research Papers
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document
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