[PDF] Top 20 Linguistic Features for Quality Estimation
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Linguistic Features for Quality Estimation
... exploiting linguistic information can achieve sig- nificantly better correlation with human judgments on quality, particularly at the level of sentences (Gim´enez and M`arquez, ...for quality ... See full document
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An Approach Using Style Classification Features for Quality Estimation
... • Pace regression (Wang and Witten, 2002). These learning algorithms are also run with several possible sets of parameters. Eventually the submitted models are chosen among those for which the set of features can ... See full document
6
The UPC Submission to the WMT 2012 Shared Task on Quality Estimation
... SEQ features are computed based on reference translations (ref ) and automatic trans- lations generated by the same Moses (Koehn et ...As features, we encode the perplexity of observed sequences with ... See full document
6
Discriminative Analysis of Linguistic Features for Typological Study
... of estimation of feature val- ues when the other features are used as attributes of the classifier; we are going to answer the first question in Intro- duction ((i) how much predictive power do ... See full document
8
Multi level Translation Quality Prediction with QuEst++
... (black-box) features, which are extracted based on the output of the MT system rather than any of its internal ...System-dependent features can be ex- tracted as long they are represented using a pre- ... See full document
6
Black Box Features for the WMT 2012 Quality Estimation Shared Task
... 2. Translation features model the connection be- tween source and target. While this is very closely related to the general problem of ma- chine translation, the advantage in confidence estimation is that ... See full document
5
Improving Machine Translation Quality Estimation with Neural Network Features
... different features to build the QE ...baseline features that were officially released by the evaluation campaign and only used the sen- tence embedding features extraction by the word2vec toolkits, ... See full document
5
Pronoun Prediction with Linguistic Features and Example Weighing
... For this reason, we needed to simplify the anal- ysis of target texts. The parsers used for source texts do not accept the tagset used by the organiz- ers. There are two possible solutions to fix this disagreement: ... See full document
7
Linguistic Input Features Improve Neural Machine Translation
... linguistic features. Our main empirical question is if providing linguistic features to the encoder improves the translation quality of neu- ral machine translation systems, or if the ... See full document
9
Quality Estimation of Speech Recognition Features for Dynamic Time Warping Classifier
... With the result of experiment, metric Q3 was identified as the best one. The metric identifies ratio of intra-class to inter-class nearest neighbour distances. Particularly, we employed Q3 to determine the highest ... See full document
6
VERTa: Linguistic features in MT evaluation
... translation quality and its tendency to favour statistically-based MT ...specific linguistic level, but other researchers have tried to combine linguistic information, either by combining several ... See full document
7
Linguistic correlates of style: authorship classification with deep linguistic analysis features
... a linguistic perspective this is no surprise: it is clear that matters of linguistic form are those that can be captured by a syntactic and to some extent by a semantic analysis (as long as the se- mantic ... See full document
7
Linguistic Features of Sarcasm and Metaphor Production Quality
... the linguistic features explained more variance in the metaphors when compared to the sarcastic responses, which is most likely a result of the linguistic context in which metaphors oper- ...through ... See full document
10
Quality estimation for Machine Translation output using linguistic analysis and decoding features
... interpret Quality Estimation as a classification problem, we expect to build models that are able to assign a discrete value, as a mea- sure of sentence ...the quality scores were generated; humans ... See full document
7
Error Detection for Statistical Machine Translation Using Linguistic Features
... translation quality. The previous work is largely based on confidence estimation us- ing system-based features, such as word posterior probabilities calculated from N- best lists or word ...of ... See full document
8
Target Centric Features for Translation Quality Estimation
... glass-box features, we ob- tain glass-box features from translating the raw translation back to the source language using the same MT system that we use for the source-side pseudo-reference ...extract ... See full document
6
Spoken Text Difficulty Estimation Using Linguistic Features
... many linguistic features such as vocabulary and grammar, efforts were made to apply readability formula to the difficulty of spoken texts, rending promising results that the listenabil- ity of spoken texts ... See full document
10
Determining Quality of Articles in Polish Wikipedia Based on Linguistic Features
... over 100 linguistic features to determine the quality of Wikipedia articles in Polish language.. We 5.[r] ... See full document
10
Using Deep Linguistic Features for Finding Deceptive Opinion Spam
... To obtain better performance on this task, we optimize it in two parts. Firstly, we test some other machine learning models. We use a support vector machine (SVM) as baseline to compare with the maximum entropy model ... See full document
10
Shallow Parsing with PoS Taggers and Linguistic Features
... various linguistic information to find the chunks; some use PoS only without taking any lexical information under consideration, while some combine the words and their PoS in ... See full document
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