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... use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved signifi- cant performance, an F1-score of 88.54%, in our experiments using ... AFNLP Extracting Comparative Sentences from Korean Text Documents Us- ing Comparative Lexical Patterns and Machine Learning Techniques Seon Yang Department of Computer Engineering, Dong-A University, ... In this section, we define comparative keywords and extract comparative-sentence candidates by using those keywords. 3.1 Comparative keyword First of all, we classify comparative sentences...

Ngày tải lên: 20/02/2014, 09:20

... highest accuracy. 4.5 Corpus Size and Output Accuracy In general, using more training data improves the accuracy of outputs and using less data results in low accuracy. Our experiment has the problem that ... more appropriately than using simple frequency. Suppose that we trim a node in the original full parse tree. For example, suppose we have a mother node A and daughter nodes (B C D) that are de- rived using a ... Association for Computational Linguistics Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches Yuya Unno 1 Takashi Ninomiya 2 Yusuke Miyao 1 Jun’ichi Tsujii 134 1 Department...

Ngày tải lên: 20/02/2014, 12:20

... words, using sequences of POS tags to capture rough syntactic information. The resulting vocabu- lary consisted of 276 words and 56 POS tags. 4.3 Support Vector Machines Support vector machines ... with other features using support vector machines pro- vided the best results. Future work includes testing additional classifier features, e.g. parser likelihood scores and features obtained using a syntax-based language ... w i−2 ). (1) The parameters of the model are estimated using a maximum likelihood estimate based on the observed frequency in a training corpus and smoothed using modified Kneser-Ney smoothing (Chen and...

Ngày tải lên: 20/02/2014, 15:20

... 1994. Machine translation divergences: A formal description and proposed solution. Compu- tational Linguistics, 20(4): 597-633. Jason Eisner. 2003. Learning non-isomorphic tree map- pings for machine ... Yamada. 2001. Fast Decoding and Optimal Decoding for Machine Translation. ACL-01. Daniel Gildea. 2003. Loosely tree based alignment for machine translation. ACL-03, Japan. Jonathan Graehl ... pages 541–548, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars Yuan Ding Martha Palmer...

Ngày tải lên: 20/02/2014, 15:20

... evaluate machine translations the machine translation community recently adopted an n-gram co-occurrence scoring proce- dure B LEU (Papineni et al. 2001). In two recent large-scale machine ... skip-bigrams: 3 Combination: C(4,2) = 4!/(2!*2!) = 6. Automatic Evaluation of Machine Translation Quality Using Longest Com- mon Subsequence and Skip-Bigram Statistics Chin-Yew Lin and Franz ... judgments very well in both ade- quacy and fluency. 1 Introduction Using objective functions to automatically evalu- ate machine translation quality is not new. Su et al. (1992) proposed a...

Ngày tải lên: 20/02/2014, 16:20

... Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach Ismael Garc ´ ıa Varea Dpto. de Inform´atica Univ. de ... maximum entropy approach is outlined in Section 3. 2 Statistical Machine Translation The goal of the translation process in statisti- cal machine translation can be formulated as fol- lows: A source ... the translation system. 7 Conclusions We have developed refined lexicon models for statistical machine translation by using maximum entropy models. We have been able to obtain a significant better test corpus...

Ngày tải lên: 20/02/2014, 18:20

... Word Lattices Using Loglinear Model Combination. IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 110-115, San Juan, Puerto-Rico. T. Nomoto. 2004. Multi-Engine Machine Transla- tion ... furthermore im- proved by using word classes, part-of-speech tags, or a list of synonyms. The model parameters are trained iteratively in an unsupervised manner with the EM algorithm using the GIZA ++ toolkit ... consider- ing the punctuation marks. 36 Computing Consensus Translation from Multiple Machine Translation Systems Using Enhanced Hypotheses Alignment Evgeny Matusov, Nicola Ueffing, Hermann Ney Lehrstuhl...

Ngày tải lên: 22/02/2014, 02:20

... about a single feature. III. Feature ranking with Support Vector Machines III.1. Support Vector Machines (SVM) To test the idea of using the weights of a classifier to produce a feature ranking, we ... the test set using the top 40 genes. They were able to classify 32 of 34 cases correctly using 5 genes. In (Chapelle, 2000), the authors achieve 1 error on the test set with 5 genes using the same ... vector machines. E. Bredensteiner and K. Bennett. Computational Optimizations and Applications, 12, 1999, pp 53-79. (Brown, 2000) Knowledge-based analysis of microarray gene expression data by using...

Ngày tải lên: 06/03/2014, 00:22

... math- ematics of machine translation. 19(2):263–311. [Foster et al.1998] G. Foster, P. Isabelle, and P. Plamon- don. 1998. Target-text mediated interactive machine translation. Machine Translation, ... for Computational Linguistics Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation Vicent Alabau, Alberto Sanchis, Francisco Casacuberta Institut ... Haddow2009] P. Koehn and B. Haddow. 2009. Interactive assistance to human translators using statistical machine translation methods. In Proceed- ings of MT Summit XII, pages 73–80, Ottawa, Canada. [Luj ´ an-Mares...

Ngày tải lên: 07/03/2014, 22:20

... pages 27–35, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Paraphrase Recognition Using Machine Learning to Combine Similarity Measures Prodromos Malakasiotis Department of Informatics Athens ... correspond to machine translation evaluation metrics, rather than string similarity measures, unlike our system. We plan to examine further how the features of Finch et al. and other ideas from machine ... similarity in [-1, 1]. 31 P. Malakasiotis and I. Androutsopoulos. 2007. Learn- ing textual entailment using svms and string similar- ity measures. In Proceedings of the ACL-PASCAL Workshop on Textual...

Ngày tải lên: 08/03/2014, 01:20

... comparison, Cowan and Collins (2005) report an f-score of 85.1% (≤ 70) using a version of Collins’ parser adapted for Cast3LB, and using reranking to boost perfor- such as grup.nom.ms (masculine singular), ... three generic machine learning algorithms: a memory-based learner (Daelemans and van den Bosch, 2005), a maxi- mum entropy classifier (Berger et al., 1996) and a Support Vector Machine classifier ... Sessions, pages 136–143, Sydney, July 2006. c 2006 Association for Computational Linguistics Using Machine- Learning to Assign Function Labels to Parser Output for Spanish Grzegorz Chrupała 1 and...

Ngày tải lên: 08/03/2014, 02:21

... this experiment, it took about 80 hours until convergence using a Pentium 4 2-GHz computer. Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation Kenji Imamura, Eiichiro Sumita ATR ... Akiba, Kenji Imamura, and Eiichiro Sumita. 2001. Using multiple edit distances to automatically rank machine translation output. In Proceedings of Machine Translation Summit VIII, pages 15–20. Osamu ... sentences (1) 6.2 Feedback Cleaning Using Evaluation Corpus In order to observe the characteristics of feedback cleaning, cleaning of the base rule set was carried out by using the evaluation corpus....

Ngày tải lên: 08/03/2014, 04:22

... The mathematics of machine translation: Parameter esti- mation. Computational Linguistics, l 9(2):263-31 . Osamu Furuse and Hitoshi Iida. 1994. Constituent boundary parsing for example-based machine trans- lation. ... on Example-Based Machine Translation' in MT Summit VIII, pages 35- 42. Adam Meyers, Michiko Kosaka, and Ralph Grishman. 2000. Chart-based translation rule application in machine translation. ... were acquired by translating trained sentences by TDMT. 157 Automatic Construction of Machine Translation Knowledge Using Translation Literalness Kenji Imamura, Eiichiro Sumita ATR Spoken Language...

Ngày tải lên: 08/03/2014, 21:20

... classifier. Using the sophisti- cated grammar in combination with BRF outper- forms the results they obtained. From this we can conclude that using a sophisticated grammar has advantages over using machine ... only machine learning or only a grammar and not a combination of the two and (2) they do not distinguish different defini- tion types. The advantage of using a combina- tion of a grammar and machine ... definitions of four types using a combination of a rule-based grammar and machine learning. We col- lected a Dutch text corpus containing 549 definitions and applied a grammar on it. Machine learning was...

Ngày tải lên: 08/03/2014, 21:20

... when the power does. Many machines have both kinds of memory; ROM holds standardized data and a basic version of the operating system that can be used to start the machine. More extensive programs ... where practical and will do as many operations as possible using the available hardware. Thus, the program will (for example) use the native machine s circuitry for addition instead of emulating it ... smoothly animated, high-detail graphics. Formally speaking, the word size of a machine is defined as the size (in bits) of the machine s registers. A register is the memory location inside the CPU where...

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