... Our exact algorithm runsin quartic time, but an approximate cubic-time variantis indistinguishable in practice. A quadratic-timeapproximation makes very few mistakes and remainspractically ... 3.EvaluatingE[g]is also straightforward: Composethe DFAhwith the probability modelpand use an al-gebraic path algorithm to compute the total probabil-ity massP(Bk) for each final statekof ... thetopLentries are selected. Because each state thatgets expanded in the inner loop has out-degree 2, thenew state mapNwill contain at most2Lstates. Thismeans that we have an additional loop invariant:...
... reduce this searchspace, but we also avoid strong commitments.3 The Algorithm at a GlanceBasically, the best-first search algorithm is a generalization of the incremental version: insteadof successively ... generated so far, augmented bythe minimal value of the description required for excluding the remaining potantial distractors,surpasses the evaluation of the best solution.4 Formalization ... secretary". Inthe second example, x5, x6, x9, and xio are theintended referents. After picking white as a descriptor, the incremental algorithm can choosefrom many alternatives for...
... et al., 2008; Utiyama and Isahara, 2003;Munteanu and Marcu, 2005; Fung and Cheung,2004). The novel algorithm is successfully eval-uated on news data for two language pairs. A related approach ... com-parable data (Munteanu and Marcu, 2005). For a given source sentence S, a max-imum entropy (ME) classifier is appliedto a large set of candidate target transla-tions . A beam-search algorithm ... 2004. Pharaoh: a Beam Search De-coder for Phrase-Based Statistical Machine Transla-tion Models. In Proceedings of AMTA’04, Washing-ton DC, September-October.Dragos S. Munteanu and Daniel Marcu....
... Preposi-tional Phrase Attachment. In Proceedings of the ARPA Workshop on Human Language Technology, 250-255, Plainsboro, NJ, USA. Jeffrey C. Reynar and Adwait Ratnaparkhi. 1997. A Maximum Entropy Approach ... (CoNLL-2002), 49-55, Taibei, Taiwan. Mari Ostendorf, Izhak Shafran, Stefanie Shattuck-Hufnagel, Leslie Charmichael, and William Byrne. 2001. A Prosodically Labeled Database of Sponta-neous Speech. ... area (Ratnaparkhi et al., 1994; Ber-ger et al., 1996; Pietra et al, 1997; Zhou et al., 2003; Riezler and Vasserman, 2004) In the most basic approach, such as Ratna-parkhi et al. (1994) and...
... semantically related pairs ofwords and document titles. Information Storageand Retrieval,. Vol 10, pp 253-260Al-Fedaghi Sabah S. and Fawaz Al-Anzi (1989) A new algorithm to generate Arabic ... ofComputational Arabic Morphology. DATRDocumentation Report, University of Sussex.Al-Raya (1997) Newspaper. Quatar.Al-Shalabi, R. and M. Evens (1998) A Computational Morphology System for Arabic.Proceedings ... stems, and roots as Index terms in anArabic Information Retrieval system. Journal of theAmerican Society for Information Science, 45/8,pp. 548-560Al-Najem, Salah R. (1998). An Explanation...
... recallmeasures for evaluating parse accuracy do not mea-sure the accuracy of empty node and antecedent re-covery, but there is a fairly straightforward extensionof them that can evaluate ... knowledge thanthe pattern-matching algorithm described here. This algorithm is both simple and general, and can serveas a benchmark against which more complex ap-proaches can be evaluated.NPNPDTtheNNmanSBARSNPNNPSamVPVBZ ... A pattern extracted from the tree displayedin Figure 1.accuracy of transitivity labelling was not systemati-cally evaluated here.2.2 Patterns and matchingsInformally, patterns are minimal...
... before AB any Move from after trigram ABC to before ABC any Figure 1: Possible transformations. A, B, C, J, and K are specific characters; x and y can be any character. ~J and ~K can be any character ... that character and begins the search starting at the next character. In this manner, an initial segmen- tation can be obtained that is more informed than a simple character-as-word approach. ... system; the algorithm can be arbi- trarily simple as long as it assigns some form of initial segmentation. 322 Initial algorithm Character-as-word Maximum matching Maximum matching + CAW NMSU...
... deal with all natural language phenomena. Thishas been argued for tree-local and even set-localMCTAG on the basis of scrambling data from lan-guages such as German (Becker et al., 1992; Ram-bow, ... On matrixlanguages. Information and Control, 23:86–96.Aravind K. Joshi and Yves Schabes. 1997. Tree-Adjoning Grammars. In G. Rozenberg and A. Salo-maa, editors, Handbook of Formal Languages, ... from a first inspection of the MC-TAG analyses proposed for natural languages (seeChen-Main and Joshi (2007) for an overview), itseems that there are no important natural languagephenomena that...
... related operationcalled the Fourier Transformation) is one of the thingsthat makes quantum mechanical algorithms more pow-erful than classical algorithms and forms the basis for most significant ... 4state system is of the form: , where and are arbitrary real numbers.Note that, unlike the Walsh-Hadamard transformationand other state transition matrices, the probability ineach state stays ... =PvvDvvi– 2A+ ( ) A A vi–( )+( )1N N 1–( )2C2N A B C D A B C DAverage (α)Average (α)(before)(after)(before)(after)AverageAverage 2ence, it is natural to ask - how fast can the basic...
... Franz J. Och, and Daniel Marcu. 2003.Statistical phrase-based translation. In HLT-NAACL2003: Main Proceedings, pages 127–133, Edmon-ton, Alberta, Canada, May 27 - June 1.Shankar Kumar and ... 1993. TheMathematics of Statistical Machine Translation: Pa-rameter Estimation. CL, 19(2):263–311.David Chiang. 2005. A hierarchical phrase-basedmodel for statistical machine translation. In ... similar to sequen-tial natural language annotation problems such aspart-of-speech tagging and shallow parsing, andthe novel training algorithm presented in this pa-per is actually most similar...
... Centralized Tabu-Based Algorithm (CTBA) [6] and a random channel attribution method(RANDOM).Weevaluatetheperformanceofchannelassignment by analyzing the percentage of removedinterference achieved ... in ACM MobiHoc,68–77(2005)22. S Avallone, IF Akyildiz, G Ventre, A channel and rate assignment algorithm and a layer-2.5 forwarding paradigm for multi-radio wireless meshnetworks. IEEE/ACM ... used, as it is able to accurately approximate the beha-vior of a fading radio channel in burst applications.Parameters were adjusted so that the GE model yields5% average packet loss and loss bursts...
... has become available.Efficient organization and manipulation of this data arerequired for many tasks, such as data classification for storageor navigation, differential processing according to ... A. Bugatti, A. Flammini, and P. Migliorati, “Audio classifica-tion in speech and music: a comparison between a statisticaland a neural approach,” EURASIP Journal on Applied SignalProcessing, ... stages. The first stage is a supervised learning phase, based on a statistical approach.In this phase training data is collected from speech andmusic signals separately, and after processing and...
... demonstrated. The advantage of the proposed algorithm is that a single algorithm canreplace several independent algorithms required for removal of dierent artifacts.Copyright â 2008 S. Manikandan and ... algorithm is that a single algorithm with improved performance canreplace several independent algorithms required for removalof different artifacts. Application of the proposed algorithm to black and color ... of mean square error [MSE], peak-signal-to-noise ratio [PSNR], and image enhancement factor [IEF] and compared with standard algorithms already in use. Improvedperformance of the proposed algorithm...
... Takahashi andTakahashi 2007, Marino and Xu 2006, Combettes and Hirstoaga 2005, Iiduka and Takahashi2005, and many others.Copyright q 2008 X. Gao and Y. Guo. This is an open access article ... Hilbert spaces,”Journal of Mathematical Analysis and Applications, vol. 318, no. 1, pp. 43–52, 2006.9 H K. Xu, “Iterative algorithms for nonlinear operators,” Journal of the London Mathematical ... 4, Iiduka and Takahashi 18,Marino and Xu 8, Qin et al. 28, S. Takahashi and W. Takahashi 6, Wittmann 30,andmany others.We will need the following result concerning the W-mapping Wn.Lemma...
... the binary pattern and the binary-valued imagewatermark to be embedded. In the extraction stage, a binarypattern is calculated from the test audio signal first and thenan estimated watermark is ... 2001.[7] T. Sun, W. Quan, and S X. Wang, “Zero-watermark water-marking for image authentication,” in Proceedings of the Signaland Image Processing, pp. 503–508, Kauai, Hawaii, USA, Au-gust 2002.[8] ... blocks according tothe size of the watermark. Next, the variance of each blockwas compared with the average of all variances to gener-ate a binary pattern. Finally, an exclusive or (XOR) opera-tion...