... 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...
... a head feature, it percolates up to any phrase projected from that head, and allows thePHON value of the lexical head to be accessed atthat projection; i.e., headed phrases will also bear a specification ... mutt rightaway.b.*We took in hˇim right away.c. We took hˇim in right away.(14) a. Martha told Noel the plot of Gravity’sRainbow.b.*Martha told Noelˇit.c. Martha toldˇit to Noel.Pronominal ... Cambridge,MA.Carl Pollard and Ivan A. Sag. 1994. Head-DrivenPhrase Structure Grammar. CSLI and Universityof Chicago Press, Stanford, Ca. and Chicago, Ill.Scott Prevost and Mark Steedman. 1993....
... 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...
... recall. Then, these rules are applied toa large raw corpus to automatically generate a tagged corpus. Finally, an HMM-based NE tagger is trained using this corpus. There is no iterative learning ... modest recall. As a result, large quantities of NE instances are automatically acquired. An automatically annotated NE corpus can then be constructed by extracting the tagged instances plus ... containsDigitAndAlpha, containsDigitAndDash, containsDigitAndSlash, containsDigitAndComma, containsDigitAndPeriod, otherNum, allCaps, capPeriod, initCap, lowerCase, other. 6 Benchmarking and...
... 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 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 ... 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 ... 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...
... clients. Having said that, the fundamentals of participatory training are repeated and reinforced throughout the manual as a reminder, and to encourage those who may have had less advanced training ... client-centered approach is its applicability to any client and any provider in any location. The manual has been revised slightly from its use in Pakistan to enhance its broad appeal and trainers are ... training cannot address all of the issues and try to reach an understanding and agreement as to which expectations will be addressed. 6. NOW address the participants’ fears. Allay any fears...
... no gold standard available. Luckily, the Bayesian approach allows us to automatically select valuesfor the hyperparameters by treating them as addi-tional variables in the model. We augment the ... input), and some latent vari-ables t (the hidden structure). The goal is to as-sign appropriate values to the latent variables. Stan-dard approaches do so by selecting values for themodel parameters, ... identicalpredictions.5.2 Varying dictionary knowledgeIn unsupervised learning, it is not always reasonable to assume that a large tag dictionary is available. To determine the effects of reduced or absent dictionaryinformation,...