... w3=omnis and w6=amantis) and with one morphological attribute (i.e., case). The variables L3,6, CASE3,acc and CASE6,accare bolded, indicatingthat w3 and w6are linked and both have the accusative ... neighboring variables are4Variables for link labels can be integrated in a straightfor-ward manner, if desired.true and it evaluates to a non-negative real num-ber; otherwise, it evaluates to 1 and ... Greek, which has a definitearticle; Hungarian has both a definite and an indefi-nite article. In both languages (Tables 5 and 6), noun and adjective gender, number, and case are moreaccurately predicted...
... other African countries (Burkina Faso, Djibouti, The Gambia, Guinea, Guinea Bissau, Mali, Mauritania, Somalia, and Sudan) have followed suit, and have committed to ending FGC and early marriage ... Council, March 3, 2009); and personal communication with A. Erulkar, August 31, 2010.22 Charlotte Feldman-Jacobs and Sarah Ryniak et al., Abandoning Female Genital Mutilation/Cutting: An In-Depth ... illustrate programs that were first designed to work with men and boys, and then expanded their organizational mandate to incorporate women and girls. u Program H in Brazil The Program H Alliance,...
... project.Craig Martin at RAND oversaw data management for the project including obtaining and processing military personnel records, writing analysis programs, and facilitating data transfer to andfrom ... Change Derived from SOFS-R and Administrative Data, Excluding the Tax Advantage (in dollars)SOFS-R Administrative Data SOFS-R Minus Administrative Data % Difference A. 2004Total before activation ... Monthly Earnings Change Derived from SOFS-R and Administrative Data 9 3.2. Estimates of Average Monthly Earnings Change Derived from SOFS-R and Administrative Data, Excluding the Tax Advantage...
... labeleddataand large amounts of unlabeled data. In this algorithm, we built an in-terpolated model by using both the labeleddata 919 and the unlabeled data. This interpolated model was employed ... we build a word aligner by using both the labeleddataand the unlabeled data. Then we build a pseudo reference set for the unlabeled data, and calculate the error rate of each word aligner ... have two kinds of training datafrom general domain: LabeledData (LD) andUnlabeledData (UD). The Chinese sentences in the data are automatically segmented into words. The statis-tics for...
... University6-6-05, Aramaki Aza Aoba, Aoba-ku,Sendai 980-8579, Japanyotaro-w@ecei.tohoku.ac.jpMasayuki Asahara Yuji MatsumotoGraduate School of Information ScienceNara Institute of Science and Technology8916-5 ... Richard Johans-son, Daisuke Kawahara, Maria Ant`onia Mart´ı, Llu´ısM`arquez, Adam Meyers, Joakim Nivre, SebastianPad´o, JanˇStˇep´anek, Pavel Straˇn´ak, Mihai Surdeanu,Nianwen ... Technology8916-5 Takayama, Ikoma,Nara, 630-0192, Japan{masayu -a, matsu}@is.naist.jpAbstractIn predicate-argument structure analysis,it is important to capture non-local de-pendencies among arguments and...
... En-glish/Arabic, English/Hindi, English/Tamil and En-glish/Russian using data provided at NEWS10. Ev-ery dataset contains training data, seed dataand ref-erence data. The NEWS10 data consists ... data. The ideais to rely on probabilities from labelled data wherethey can be estimated reliably and to use probabili-ties from unlabelled data where the labelled data issparse. This is achieved ... usesHidden Markov Models (Nabende, 2010; Darwish,2010; Jiampojamarn et al., 2010), Finite State Au-tomata (Noeman and Madkour, 2010) and Bayesian learning (Kahki et al., 2011) to learn transliterationpairs...
... needs a word dictionary and takes long time for searching many character combinations. 61 4.2 Experiment Results and Analyses We used two separate Eumjeol n-grams as lan-guage models for ... experiments. N-gram A is ob-tained from only training corpus and n-gram B is obtained from all training and test corpora. All ac-curacies are measured based on Eojeol unit. Table 2 shows the ... er-rors simultaneously. Using Eojeol transi-tion pattern dictionary and statistical data such as Eumjeol n-gram and Jaso transition probabilities, the algorithm minimizes the usage of huge...
... generalization stepsFigure 2: Example of a simple grammar lattice. All grammars generate , and only generates ( is a common lexicon for all the grammars)3 A Grammar Lattice as a Search Space for ... SystemsColumbia UniversityNew York, NY 10027, USArambow@cs.columbia.eduAbstractWe propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural languagestrings ... both syntax and semantics is arguablymore difficult than learning syntax alone. In for- mal grammar learning theory it has been shown that learning from “good examples,” or representativeexamples,...
... DNA and RNADNA and RNAParvoviruses contain single-stranded DNAParvoviruses contain single-stranded DNAReoviruses contain double-stranded RNAReoviruses contain double-stranded RNA UncoatingUncoatingEnzymes ... surrounded by a sheathCentral tube surrounded by a sheathCollarCollarBase plateBase plateTail pinsTail pinsFibersFibersSimilar stages as animal virusesSimilar stages as animal virusesAdsorb ... discovered an animal virus that Loeffler and Frosch discovered an animal virus that causes foot and- mouth disease in cattlecauses foot and- mouth disease in cattleMany years of experimentation...
... 2004; Habash and Rambow,2005). A notable exception is the work of (Adleret al., 2008), which uses unlabeleddataand a morphological analyzer to learn a semi-supervisedHMM modelfor disambiguation ... recall, and F-measure (F1) to evaluateperformance. The two subtasks, tag-set prediction and lemmatization are also evaluated in this way.Table 1 shows the correct tag-sets and lemmas for each ... 98052colinc@microsoft.comAbstractWe present a global joint model for lemmatization and part-of-speech predic-tion. Using only morphological lexicons and unlabeled data, we learn a partially-supervised part-of-speech tagger...
... corpus and return bilingual citations that are helpful to human translators and second language learners. 2 Aligning the corpus Central to TotalRecall is a bilingual corpus anda set of ... assisted translation and language learning tool. Currently, TotalRecall uses Sinorama Magazine corpus as the translation memory and will be continuously updated as new issues of the magazine becomes ... Si-norama magazine. A large bilingual collection of Figure 1. The results of searching for “hard+” with default ranking. analyses to extract bilingual phrases/collocations from a parallel...
... short chain; Aco1,aconitase 1; Agt), alanine-glyoxylateaminotransferase knockout; Aldh2, aldehydedehydrogenase 2; Car3, carbonic anhydr-ase 3; Cat, catalase; Dao1,D-amino acidoxidase 1; ... CEBA-HUC-approved protocols. Immediately afterbrain death, laparotomy and bilateral thoracotomy wereperformed and the organs were harvested, making sure thatthe animals did not suffer at any stage ... subspectra with 30 shots per subspectrum wereaccumulated. A pepmix calibration kit (Bruker-Daltonics)was used for calibration and the standard mass deviationJ. R. Herna´ndez-Fernaud and E. Salido...
... and area inside the cell are keptconstant fora timestep.4. Model verification4.1. Wave transformation and characteristics ofturbulence due to wave breaking on a naturalbeachTo ... integratednumerically on a spatially staggered gridsystem, where components of the flowdischarge are evaluated at surfaces, and bedelevation,k and ε are evaluated at ... is assumed as the sum of those respectively due towavebreaking and horizontal and verticalshear.Theverificationofthenumerical model against data obtained from variousindoorexperimentsreveals...
... Fred Karlsson, and to Martin Kay, Ron Kaplan and Lauri Karttunen for fruitful ideas andfor acquainting me with their research. REFERENCES Alam, Y., 1983. A Two-Level Morphological Analysis ... Individual rules are implemented as finite state automata, as in an earlier model due to Martin Kay and Ron Kaplan. The two-level model has been implemented as an operational computer programs ... practical morphologi- cal programs. 2. The model of Kay and Kaplan Martin Kay and Ron Kaplan from Xerox PARC noticed that each of the generative rewriting rules can be represented by a...
... roundtable held Clear voice for graduate and undergraduate public health education Clear voice for graduates versed in both practice and research Clear voice for sustained linkage to practice ... curriculum provides learningand assessment opportunities for all competencies and that any redundancies areplanned and necessaryã Ensure that learning opportunities are appropriately sequenced11. ... paper; ME, a practitioner stakeholder,guided the conceptualization and implementation of theprocess and assisted with the analysis and interpretationof the results. All authors read and approved...