... 20)same agr same agreement of anaphorand antecedent?same gramrole same grammatical role ofanaphor and antecedent?same semclass* same semantic class ofanaphor and antecedent?Table 1: Features ... pronounana npform NP form of the anaphorana gramrole grammatical role of theanaphorana agr agreement of the anaphorana semclass* semantic class of the anaphorante npform NP form of the antecedentante ... science, arts andentertainment, and travel.4.2 The MMAX Annotation ToolThe manual annotation of the training data wasdone with the MMAX (Multi-Modal Annotationin XML) annotation tool (Măuller and...
... speculate, the supervised learning mayhave favorably worked to cause the same effect asautomatic feature selection technique. Features withhigh discriminative power may have been automat-ically ... proposed a novel approachto au-tomatic synonym identification based on supervised machine learning and distributional features. Forthis purpose, we re-formalized synonym acquisitionas a classification ... machine learning. In this paper, we propose a novel approach to automatic synonym identification based on super-vised learning technique. Firstly, we re-formalizesynonym acquisition as a classification...
... integrated into a phrase-based decoder serving as additional distortion fea-tures.We evaluated our approach on large-scaleJapanese-English and English-Japanese machine translation tasks, and ... source lan-guage based on both lexical and syntacticalfeatures. We evaluated our approach on large-scale Japanese-English and English-Japanese machine translation tasks, and show that it cansignificantly ... Translation: Syntactically InformedPhrasal SMT. In Proc. ACL, pages 271-279. A. Ramanathan, Pushpak Bhattacharyya, JayprasadHegde, Ritesh M. Shah and Sasikumar M. 2008.Simple syntactic and...
... The Attack Planner enables the user to state plan goals, launch the planner and view the attack plans generated. For example, a user can state the goal “An external user with no initial access ... querying capability was modified to allow users to define and save queries that correspond to specific compliance goals. For example, an IAVA can be converted into a query that finds machines ... users a deep analysis of the state of their network, particu-larly by demonstrating feasible attack plans that could be launched against it. Widespread application of CycSecure and adoption...
... the Association for Machine Translationin the Americas (AMTA-2006).Christoph Tillmann, Stephan Vogel, Hermann Ney, HassanSawaf, and Alex Zubiaga. 1997. Accelerated DP-basedsearch for statistical ... the train-ing set (by languages and by years), and their corre-lations with human assessment are higher than stan-dard automatic evaluation metrics.2 MT EvaluationRecent automatic evaluation ... Brockett.2001. Amachinelearningapproachto the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics,...
... 1998. Machine trans-lation with a stochastic grammatical channel. InProceedings of ACL’98, pages 1408–1414, Mon-treal, Canada.Kenji Yamada and Kevin Knight. 2001. A syntax-based statistical ... Global Age. John Benjamins Publishers.Tony Veale and Andy Way. 1997. Gaijin: A template-based bootstrapping approachto example-based machine translation. In Proceedings of “NewMethods in Natural ... how one can use an ex-isting statistical translation model (Brown et al.,1993) in order to automatically derive a statisticalTMEM. Second, we adapt a decoding algorithmso that it can exploit...
... in case they cooccur. A translation rule separates a constituent into an ordinary part and an exceptional part. Both parts are then trans- lated separately and finally, in the target language, ... translated parts are joined again. In the case of a sentence consisting of both 'graag' and 'gewoonUjk', the sentence is separated into an exceptional part, 'graag' ... in any way. - 301 - AN APPROACHTO SENTENCE -LEVEL ANAPHORA IN MACHINE TRANSLATION Gertjan van Noord, Joke Dorrepaal, Doug Arnold Steven Krauwer, Louisa Sadler, Louis des Tombe Foundation...
... in language learning. Machine Learning, Special issue on Natural Language Learning, 34:11–41.W. Daelemans, J. Zavrel, K. Van der Sloot, and A. Vanden Bosch. 2007. TiMBL: Tilburg memory basedlearner, ... hasbeen argued that memory-based learning is at anadvantage in solving these highly disjunctive learn-ing problems compared to more eager learning thatabstract from the examples, as the latter ... information available in the training corpus andmodelling the task applying an approach similar to the one that has been applied to tasks like semanticrole labeling (Morante et al., 2008) or negationscope...
... Empirical Methods in Natural Language Process-ing (EMNLP).Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto,and Kazuteru Ohashi. 2006. A clustered global phrasereordering model for statistical machine ... and Ashish Venugopal. 2006. Syntaxaugmented machine translation via chart parsing. InProceedings of the Workshop on Statistical Machine Translation, HLT/NAACL.Andreas Zollmann and Stephan Vogel. ... ofmorphologically similar words into the same class.3 Ashish Venugopal and Andreas Zollmann. 2009. Gram-mar based statistical MT on Hadoop: An end -to- endtoolkit for large scale PSCFG based MT. The PragueBulletin...
... working to prevent andameliorate factors that threaten their health.13 A Public Health Approachto Children’s Mental Health :A Conceptual FrameworkCHAPTER 1: Introduction Appreciation goes toa ... to that variable as an“indicator” of the outcome variable, whereas researchers would typically call it a correlateinstead. For example, a child’s level of empathy may be one of many indicators ... mental health interventions that are needed to serveall children. It can serve as an organizational tool to help collaborators develop a comprehensive, coordinated public health approachto addressing...