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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 Page: 1 2 3 Hits 1 – 20 of 46 1 Filtering Tweets for Social Unrest ... Mishler, Alan; Wonus, Kevin; Chambers, Wendy. - : Digital Repository at the University of Maryland, 2017 BASE Show details 2 Using Global Constraints and Reranking to Improve Cognates Detection ... Bloodgood, Michael; Strauss, Benjamin. - : arXiv, 2017 BASE Show details 3 Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords ... Bloodgood, Michael; Strauss, Benjamin. - : arXiv, 2017 BASE Show details 4 Filtering Tweets for Social Unrest Mishler, Alan; Wonus, Kevin; Chambers, Wendy. - : IEEE, 2017 BASE Show details 5 Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection ... Bloodgood, Michael; Strauss, Benjamin. - : Digital Repository at the University of Maryland, 2016 BASE Show details 6 Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection Bloodgood, Michael; Strauss, Benjamin. - : IEEE, 2016 BASE Show details 7 Translation Memory Retrieval Methods ... Bloodgood, Michael; Strauss, Benjamin. - : arXiv, 2015 BASE Show details 8 Statistical modality tagging from rule-based annotations and crowdsourcing ... Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : arXiv, 2015 BASE Show details 9 Use of Modality and Negation in Semantically-Informed Syntactic MT ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.. - : arXiv, 2015 BASE Show details 10 Annotating Cognates and Etymological Origin in Turkic Languages ... Mericli, Benjamin S.; Bloodgood, Michael. - : arXiv, 2015 BASE Show details 11 Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language ... Zajic, David; Maxwell, Michael; Doermann, David. - : arXiv, 2014 BASE Show details 12 A random forest system combination approach for error detection in digital dictionaries ... Bloodgood, Michael; Ye, Peng; Rodrigues, Paul. - : arXiv, 2014 BASE Show details 13 Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation ... Bloodgood, Michael; Callison-Burch, Chris. - : arXiv, 2014 BASE Show details 14 An Approach to Reducing Annotation Costs for BioNLP ... Bloodgood, Michael; Vijay-Shanker, K.. - : arXiv, 2014 BASE Show details 15 Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ... Bloodgood, Michael; Vijay-Shanker, K.. - : arXiv, 2014 BASE Show details 16 Rapid Adaptation of POS Tagging for Domain Specific Uses ... Miller, John E.; Bloodgood, Michael; Torii, Manabu. - : arXiv, 2014 BASE Show details 17 Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling ... Rodrigues, Paul; Zajic, David; Doermann, David. - : arXiv, 2014 BASE Show details 18 A Modality Lexicon and its use in Automatic Tagging ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.; Filardo, Nathaniel W.; Levin, Lori; Piatko, Christine. - : arXiv, 2014 Abstract: This paper describes our resource-building results for an eight-week JHU Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically-Informed Machine Translation. Specifically, we describe the construction of a modality annotation scheme, a modality lexicon, and two automated modality taggers that were built using the lexicon and annotation scheme. Our annotation scheme is based on identifying three components of modality: a trigger, a target and a holder. We describe how our modality lexicon was produced semi-automatically, expanding from an initial hand-selected list of modality trigger words and phrases. The resulting expanded modality lexicon is being made publicly available. We demonstrate that one tagger---a structure-based tagger---results in precision around 86% (depending on genre) for tagging of a standard LDC data set. In a machine translation application, using the structure-based tagger to annotate English modalities on an English-Urdu ... : 6 pages, 5 figures; appeared in Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), May 2010 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7 URL: https://dx.doi.org/10.48550/arxiv.1410.4868 https://arxiv.org/abs/1410.4868 BASE Hide details 19 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ... Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : arXiv, 2014 BASE Show details 20 Translation memory retrieval methods Bloodgood, Michael; Strauss, Benjamin. - : Association for Computational Linguistics, 2014 BASE Show details Page: 1 2 3

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