... 4a and 4b, evaluationmetrics al-ways correlate better on the initial task than on theupdate task. This suggests that there is much room for improvement for readability metrics, and metrics need ... DICOMER – a DIscourse COherenceModel forEvaluating Readability.LIN outperforms all metrics on all correlations onboth tasks. On the initial task, it outperforms thebest scores by 3.62%, 16.20%, ... Explicit/Non-Explicitinformation, and demonstrate that they improve theoriginal model.There are parallels between evaluations of ma-chine translation (MT) and summarization with re-spect to textual content. For...
... offering a rich set of metrics and meta -metrics for assessing MT quality (Gim´enez and M`arquez,2010a). Although automatic MTevaluation is stillfar from manual evaluation, it is indeed ... Association for Computational Linguistics, pages 139–144,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsA Graphical Interface forMTEvaluation and ... existing evaluation measuresand to support the development of further improve-ments or even totally new evaluation metrics. Thisinformation can be gathered both from the experi-139Figure 1: MT...
... word alignment information. 3 Experiments 3.1 PORT as an Evaluation Metric We studied PORT as an evaluation metric on WMT data; test sets include WMT 2008, WMT 2009, and WMT 2010 all-to-English, ... Birch and M. Osborne. 2011. ReorderingMetricsfor MT. In Proceedings of ACL. C. Callison-Burch, C. Fordyce, P. Koehn, C. Monz and J. Schroeder. 2008. Further Meta -Evaluation of Machine Translation. ... and 22.0% ties). 1 Introduction Automatic evaluationmetricsfor machine translation (MT) quality are a key part of building statistical MT (SMT) systems. They play two 1 PORT: Precision-Order-Recall...
... human assessment are higher than stan-dard automatic evaluation metrics. 2 MT Evaluation Recent automatic evaluationmetrics typically framethe evaluation problem as a comparison task: howsimilar ... in-valuable resource for measuring the reliability of au-tomatic evaluation metrics. In this paper, we showthat they are also informative in developing better metrics. 3 MTEvaluation with Machine ... Meeting of the Association for Computa-tional Linguistics, July.Chin-Yew Lin and Franz Josef Och. 2004b. Orange: amethod forevaluating automatic evaluationmetricsfor ma-chine translation....
... these metrics cor-relate highly with human judgments.1 IntroductionMachine paraphrasing has many applications for natural language processing tasks, including ma-chine translation (MT) , MT evaluation, ... Paraphrase Evaluation Metrics One of the limitations to the development of ma-chine paraphrasing is the lack of standard metrics like BLEU, which has played a crucial role in driv-ing progress in MT. ... for what constitutes a high-quality para-phrase. In addition to the lack of standard datasets for training and testing, there are also no standard metrics like BLEU (Papineni et al., 2002) for...
... Similarity Metrics We begin by defining a set of 22 similarity metrics taken from the list of standard evaluation metrics in Subsection 2.1. Evaluationmetrics can be tunedinto similarity metrics ... familiesof similarity metrics form a set of 104 metrics. Ourgoal is to obtain the subset of metrics with highestdescriptive power; for this, we rely on the KINGprobability. A brute force exploration ... references:ORANGE was introduced by Lin and Och(2004b)6 for the meta -evaluation of MT evalua-tion metrics. Themeasure providesinformation about the average behavior of auto-matic and manual...
... R2 for the family of metrics AEv(α,N), for correctness scores, second QA evaluation A Unified Framework for Automatic Evaluation using N-gram Co-Occurrence Statistics Radu SORICUT Information ... penalized). Another evaluation we consider in this paper, the DUC 2001 evaluationfor Automatic Summarization (also performed by NIST), had specific guidelines for coverage evaluation, which ... Unified Framework for Automatic Evaluation In this section we propose a family of evaluation metrics based on N-gram co-occurrence statistics. Such a family of evaluationmetrics provides...
... used in the vec-tor-space model for Information Retrieval (Salton and Leck, 1968) and the S-score proposed for evaluating MT output corpora for the purposes of Information Extraction (Babych ... scores for both runs were compared using a standard deviation measure. 3. The results of the MTevaluation with frequency weights With respect to evaluatingMT systems, the cor-relation for ... for translation: MT systems that have no means for prioritising this information often in-troduce excessive information noise into the tar-get text by literally translating structural information,...
... 9000 factors for an evaluation and a strategic university planning. For the implementation, a Web-based DSS is based on ISO 9000 factors for the evaluation and strategic planning for a case study ... alternatives for an evaluation model / a strategic university planning. 3. DSS model application for an evaluation and a strategy planning 3.1. Application model using ISO 9000 factors for a strategic ... The forth step is to analyze the hierarchy model using ISO 9000 factors for an evaluation and a strategic planning. The final step is to build a Web-based DSS application based on AHP model for...
... onoverall driving forces for education reforms be consid-ered (Figure 5).IndicatorsFinally, we d educe ten core indicators from the aboveframework for the purpose of monitoring and evaluation via ... higher policyand decision-making fora, but equally - and potentiallymore important - they can be bottom-up, that is promotedand enforced by the health workforce, for instance bymeans of addressing ... the evaluation of educational interventions or the monitoring of curri-culum development during education reforms. It furthersuggests comprehensive consideration of the drivingforces for education...
... tabular form CN, andEi(k) to denote the cell at the k-th row and thei-th column. W(k ) is the weight for E(k), andWi(k) = W (k) is the weight for Ei(k). pi(k)is the normalized weight for ... newsgroup sections of MT0 6,whereas the test set is the entire MT0 8. The 10-best translations for every source sentence in thedev and test sets are collected from eight MT sys-tems. Case-insensitive ... Open MT evaluation. 1 IntroductionWord-level combination using confusion network(Matusov et al. (2006) and Rosti et al. (2007)) is awidely adopted approach for combining MachineTranslation (MT) ...
... 2006.c2006 Association for Computational LinguisticsAn Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method Hidetsugu Nanba Faculty of Information Sciences, ... section, are necessary for a more accurate summary evaluation. 3 Investigation of an Automatic Method using Multiple Manual Evaluation Results 3.1 Overview of Our Evaluation Method and ... Consortium. 2 http://www.nist.gov/speech/tests /mt/ mt2001/resource/ 604tested ROUGE and cosine distance, both of which have been used for summary evaluation. If a score by Yasuda’s method exceeds...
... is, therefore, how to find informative metrics, and then how to combine them into an op-timal single quality estimation for automatic sum-maries. The most immediate way of combining metrics is ... and (iii) test whether evaluating with that test-bed is reliable (JACKmeasure).2 Formal constraints on any evaluation framework based on similarity metrics We are looking for a framework to evaluate ... Lin. 2004. Orange: a Method forEvaluating Au-tomatic Metricsfor Machine Translation. In Pro-ceedings of the 36th Annual Conference on Compu-tational Linguisticsion for Computational Linguis-tics...
... whole corpus (BNC). C is the total number ofcategories. W stands for Written, S for Spoken. C1, C2,DE, UN are demographic classes for the spontaneousconversations, nocat is the BNC undefined category.ples ... toinvestigate how the choice of the biased samplingmethod affects the performance of our procedureand its relations to uniform sampling.3.1 Corpora as unigram distributionsA compact way of representing ... collections of doc-uments is closely related to the similarity of the218A Figure of Merit for the Evaluation of Web-Corpus RandomnessMassimiliano CiaramitaInstitute of Cognitive Science and...