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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Neural MT and Human Post-editing : a Method to Improve Editorial Quality Barbin, Franck In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022) BASE Show details 2 Human evaluation of three machine translation systems : from quality to attitudes by professional translators Fernández Torné, Ana; Matamala, Anna. - 2021 BASE Show details 3 Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian Sanchez-Cartagena, Victor Manuel; Toral, Antonio; Klubicka, Filip In: Articles (2018) BASE Show details 4 Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation ... Wang, Kun. - : UNSW Sydney, 2013 BASE Show details 5 MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing Man, Hong; Yao, Yu-dong In: DTIC (2013) BASE Show details 6 English → Russian MT evaluation campaign Braslavski, P.; Beloborodov, A.; Khalilov, M.... In: ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (2013) BASE Show details 7 Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation Wang, Kun, Engineering & Information Technology, UNSW Canberra, UNSW. - : University of New South Wales - UNSW Canberra. Engineering & Information Technology, 2013 BASE Show details 8 Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation Bloodgood, Michael; Callison-Burch, Chris. - : Association for Computational Linguistics, 2010 BASE Show details 9 Task muddiness, intelligence metrics, and the necessity of autonomous mental development Prof Juyang Weng In: http://www.cse.msu.edu/~cse841/papers/MuddyTasks.pdf (2009) BASE Show details 10 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details 11 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009 BASE Show details 12 Automating Convoy Training Assessment to Improve Soldier Performance LaVoie, Noelle; Foltz, Peter; Rosenstein, Mark... In: DTIC (2008) BASE Show details 13 Differential Effect of Correct Name Translation on Human and Automated Judgments of Translation Acceptability: A Pilot Study Vanni, Michelle; Walrath, James In: DTIC (2008) Abstract: This study proffers two important findings: (1) automated machine translation (MT) evaluation is insensitive to the cognitive gravitas of proper names, contributing to its weak modeling of human judgments of higher quality MT output, and (2) there is a "new" methodology that produces superior measurement of translation acceptability. Twenty Arabic sentences, each with average name density of 3.7 names in 22 words, were translated into English with a research-grade MT system, to produce a 20-output-sentence Control Stimulus Set. Manual correction of 25% of the name translations resulted in an Enhanced Stimulus Set. A Magnitude Estimation (ME) methodology task had each of two teams of five subjects judge Control and Enhanced Sets against human reference translations. As is customary in ME studies, subjects made direct numerical estimations of the magnitude of the stimuli, in this case the degree to which sentences in the Sets conveyed the meaning in the reference sentences. Average estimates for Control and Enhanced Sets were 4.57 and 6.16, respectively, a 34.8% difference. Automated evaluation with the Metric for Evaluation of Translation with Explicit word ORdering (METEOR) produced scores of .446 and .546, a 22% difference. ME detected a differential effect, a finding which suggests that weighting proper name rendering in automated evaluation systems may improve correlations with human judgments on higher quality output. Keyword: *COMPREHENSION; *HUMANS; *MACHINE TRANSLATION; *MAGNITUDE ESTIMATION; *METRICS; *NAME TRANSLATION; ARABIC LANGUAGE; AUTOMATED EVALUATION; ESTIMATES; FOREIGN LANGUAGES; HUMAN UNDERSTANDING; JUDGEMENT(PSYCHOLOGY); Linguistics; MACHINE TRANSLATION EVALUATION; PROPER NAMES; STIMULI URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA488000 http://www.dtic.mil/docs/citations/ADA488000 BASE Hide details 14 Automatic Computation of . . . Cai-nicolas Ziegler; Kai Simon; Georg Lausen In: http://www.informatik.uni-freiburg.de/~ksimon/papers/CIKM-06-Proximity.pdf (2006) BASE Show details 15 Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings Zimmermann, Matthias; Liu, Yang; Shriberg, Elizabeth... In: DTIC (2005) BASE Show details 16 Symposium on Speech Communication Metrics and Human Performance. Nixon, Charles W. In: DTIC AND NTIS (1995) BASE Show details 17 Structural analysis of hypertexts: Identifying hierarchies and useful metrics Rodrigo A. Botafogo; Ehud Rivlin; Ben Shneiderman In: http://www.cs.technion.ac.il/~ehudr/publications/pdf/BotafogoRS92a.pdf (1992) BASE Show details 18 Natural Language Processing Systems Evaluation Workshop Held in Berkely, California on 18 June 1991 Neal, Jeannette G.; Walter, Sharon M. In: DTIC AND NTIS (1991) BASE Show details 19 Metrics for MT evaluation: Evaluating reordering Alexandra Birch; Miles Osborne; Phil Blunsom In: http://homepages.inf.ed.ac.uk/miles/papers/mt09.pdf BASE Show details

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