[PDF] Top 20 Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings
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Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings
... extend word-level representation to sentence and document level, which allows them to compute the similarity between two sequence of ...document-level embeddings as features and METEOR score as target to ... See full document
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Using Word Embeddings for Improving Statistical Machine Translation of Phrasal Verbs
... the translation table. However, the modifications come from the usage of word embeddings assuming that those allow for a better incorporation of semantic information into ... See full document
5
Quality Estimation and Translation Metrics via Pre trained Word and Sentence Embeddings
... Our method performs sentence-level quality es- timation of machine translation. As other state- of-the-art methods (Kim et al., 2017; Fan et al., 2018), we use a neural-based architecture. How- ever, ... See full document
5
RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation
... WMT18 metrics shared ...or word N-grams. Although train- ing sentence embeddings using small-scale translation datasets with manual evaluation is difficult, sentence ... See full document
8
Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
... sentence-level metrics, BLEU, TER and METEOR, also show strong correlations with each other, especially between BLEU and ...document-level metrics, for instance, ...is word choice oriented, which is ... See full document
9
Machine Translation Evaluation for Arabic using Morphologically enriched Embeddings
... n-gram metrics to obtain state-of-the-art ...for evaluation into other MRL languages to validate our observations for ...morpho-syntactic embeddings, and (ii) there are datasets available (from WMT ... See full document
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Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
... contrastive translation pairs to evaluate various error types, including morpho-syntactic agreement and polarity ...namely word sense er- rors, our approach differs in that we pair a human reference ... See full document
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Automatic Evaluation of Chinese Translation Output: Word Level or Character Level?
... various machine transla- tion evaluation metrics to evaluate the quality of Chinese translation output, and compare their cor- relation with human assessment when the Chinese ... See full document
6
An Investigation of Machine Translation Evaluation Metrics in Cross lingual Question Answering
... Through using knowledge bases, ques- tion answering (QA) systems have come to be able to answer questions accurately over a variety of ...CLQA). Machine translation (MT) is one tool to achieve CLQA, ... See full document
8
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation
... Evaluation metrics are a fundamental compo- nent of machine translation (MT) and other lan- guage generation ...a translation is both adequate and coherent is a challenging text ... See full document
10
Paraphrasing Out of Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation
... out using parts of the HIT Olympic Trilin- gual Corpus (HIT) (Yang et ...the evaluation data sets of previous IWSLT evaluation cam- ...corpus using sub-sentence splitting following (Chu et ... See full document
5
Bilingual Word Embeddings for Phrase Based Machine Translation
... two evaluation metrics: Spear- man Correlation and Kendall’s ...gual embeddings trained with the combined objec- tive defined by Equation 5 perform ...count word co-occurrences in a 10- ... See full document
6
ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
... One advantage of skip-bigram vs. B LEU is that it does not require consecutive matches but is still sensitive to word order. Comparing skip-bigram with LCS, skip-bigram counts all in-order matching word ... See full document
7
Metrics for Evaluation of Word level Machine Translation Quality Estimation
... the metrics’ performance we compute the system distinction coefficient d — the probability of two systems being significantly dif- ferent, which is defined as the ratio between the number of significantly ... See full document
6
Sentence Simplification by Monolingual Machine Translation
... the evaluation of sentence sim- plification, BLEU is a more appropriate metric than Flesch-Kincaid or a similar readability metric, al- though it should be noted that BLEU was found only to correlate significantly ... See full document
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Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... We did our study in the domain of news articles and professions. However, human corpora has a broad spectrum of categories, as an instance: in- dustrial, medical, legal that may rise other biases particular to each area. ... See full document
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When and Why Are Pre Trained Word Embeddings Useful for Neural Machine Translation?
... been using embeddings that have been trained independently in the source and target languages, and as a result there will not nec- essarily be a direct correspondence between the embedding spaces in both ... See full document
7
Accurate Evaluation of Segment level Machine Translation Metrics
... segment-level metrics are also required to output continuous-valued scores, we can now com- pare the scores directly using Pearson’s ...so metrics do not have to produce scores on the same scale as ... See full document
9
Better Evaluation Metrics Lead to Better Machine Translation
... MT evaluation metric to show a high correlation with human judgment is BLEU (Papineni et ...statistical machine transla- tion ...generation metrics can out- perform BLEU in terms of correlation with ... See full document
10
Morphological Word Embeddings for Arabic Neural Machine Translation in Low Resource Settings
... the word A` (AbEAdA, “dimensions”) correctly, while the other systems do ...This word form occurs 7 times in the MT training data and 101 times in the monolin- gual ...the word embedding ...the ... See full document
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