multilingual transliteration using feature based phonetic method

... based on the distinctive features and pseudo features, based on the pure linguistic knowledge without training data. As illustrated in Table 7, the phonetic transliteration method using features ... pseudo features, the method was trained using two different feature sets: a total feature set and a distinctive feature- only set . For Arabic, Chinese and Korean, the MRR of the total feature ... learners’ can be used in transliteration. Based on (1) ~ (3), 21 pseudo features were designed. All features have binary values. Using these 21 pseudo features and 20 distinctive features, a linear...

Ngày tải lên: 17/03/2014, 04:20

... maximal use of complex feature- value systems, rather than atomic categories that have been presupposed in the LR method. This paper is an attempt to incorporate feature- based categories into ... Information -Based Syntax and Semantics VoI.1. CSLI Lecture Notes 13. Stanford: CSLI. Shieber, S. 1985. " ;Using Restriction to Extend Parsing Algorithms for Complex- Feature- Based Formalisms" ... hand, in a grammar with feature- based categories, as proposed by most recent syntactic theories, it is no longer the case. 3 Construction of the GOTO Table for Feature- Based Categories: A...

Ngày tải lên: 22/02/2014, 10:20

... clustering pro- cedure • in the majority of the works using clus- tering methods, the evaluation of the quality of the method used is based on recall and preci- sion parameters. In our case, ... Information : A Class -Based Approach to Lexical Relationships. PhD Thesis, University of Pennsylvania. Zernik U. 1993. Corpus -Based Thematic Analysis. In Jacobs P. S. Ed., Text -Based Intelligent ... individuals is calcu- lated 3 and a hierarchical clustering method is per- formed with, as input, a similarity matrix. This kind of methods gives, as a result, a classification tree (or dendrogram)...

Ngày tải lên: 22/02/2014, 03:20

... front end of the queue. We refer to these features as heterogeneous features. Constituent features F c (s i , t s ) This feature schema covers three feature functions: F c (s 1 , t s ), F c (s 2 , ... heterogeneous parser, we use feature- based parsing algorithms in order to easily incorporate features that encode source-side bracketing structures. Theoretically, any feature- based approaches are applicable, ... treebank. The features can be divided into two groups. The first group of features are derived solely from target-style parse trees so they are referred to as target side features. This group of features...

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Ngày tải lên: 12/07/2014, 19:20

... Marcus. 1995. Text chunking using transformation -based learning. In Proc. of the third workshop on very large corpora, pages 82–94. Dan Shen and Mirella Lapata. 2007. Using se- mantic roles to ... This paper describes predi- cate argument structure analysis using   transformation -based learning. An advan- tage of transformation -based learning is the readability of learned rules. A dis- advantage ... much larger than one of the rules for the node rules. Ramshaw et al. proposed an index -based efficient reduction method for the calculation of error re- duction (Ramshaw and Marcus, 1994). However, in...

Ngày tải lên: 20/02/2014, 04:20

... approaches include feature- based and kernel -based classification. Feature- based approaches transform the context of two entities into a liner vector of carefully selected linguistic features, varying ... merged into three coarser structures. z Entity Features Entity types and subtypes are concerned. z Entity Context Features These are character -based features. We consider both internal and external ... context information. 3.1 Classification Features The classification is based on the following four types of features. z Entity Positional Structure Features We define and examine nine finer...

Ngày tải lên: 20/02/2014, 09:20

... comparison with a feature based approach. Our evaluation demonstrates for the three separate dimensions of a context oriented annotation scheme that novel thread based features have a greater ... corpus. We also included a feature that indicated the number of words in the segment. Thread Structure Features. The simplest context- oriented feature we can add based on the threaded structure ... single message in our evaluation below. 3 Feature Based Approach In previous text classification research, more atten- tion to the selection of predictive features has been done for text classification...

Ngày tải lên: 20/02/2014, 12:20

... corpus -based semantic feature. However, the increase is not as large as using the web -based feature: Under the two learn- ing models, the success rate of the best system with the corpus -based feature ... systems on the same data set. Web -based feature vs. Corpus -based feature The third column of the table lists the results us- ing the web -based compatibility feature for neutral pronouns. Under ... utility of the statistics -based semantic feature is more salient under TC than under SC for N-Pron res- olution: the best gains using the corpus -based and the web -based semantic features under TC are...

Ngày tải lên: 20/02/2014, 15:20

... Incorporate threshold values for threshold -based methods (Table 2) into the GA -based optimization procedure. - Improve performance of similarity -based metrics in the multilingual domain. - Apply additional ... Israel fmenahem@bgu.ac.il Abstract Automated summarization methods can be defined as “language-independent,” if they are not based on any language- specific knowledge. Such methods can be used for multilingual summarization defined ... first to make an attempt at using graph- based ranking methods in single document ex- tractive summarization, generating similarity links between document paragraphs and using degree scores in order...

Ngày tải lên: 07/03/2014, 22:20

... manning@cs.stanford.edu Abstract Discriminative feature- based methods are widely used in natural language processing, but sentence parsing is still dominated by gen- erative methods. While prior feature- based dynamic programming ... minutes per pass through the data, while the feature- based model (feature- based in Ta- ble 3) took 35 minutes per pass through the data. The feature- based model with the relaxed grammar (relaxed ... discriminative model, which used lexi- con features, but no grammar features other than the rules themselves; and a feature- based model which had access to all features. For the length 15 data we also...

Ngày tải lên: 08/03/2014, 01:20

... @science.uva.nl Abstract We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memory- based learning, applied to ... mapping from the parser’s labels to those in the dependency corpus, using TiMBL, a memory -based classifier (Daelemans et al., 2003). The features used for the relabelling were similar to those used by ... corpus (section 23) was also parsed, and for each depen- dency a feature vector was formed and given to Enriching the Output of a Parser Using Memory -Based Learning Valentin Jijkoun and Maarten de Rijke Informatics...

Ngày tải lên: 08/03/2014, 04:22

... described in syntax-oriented models, e.g., CFGs or feature- based grammars. The present paper describes both allomor- phy and morphotactics in a feature- based lan- guage like that of Head-Driven Phrase ... final-config, etc.). Now that we have demonstrated the feature- based encoding of automata, we can abbrevi- ate them, using regular expressions as " ;feature templates" to stand for the initial ... A with respect to ~r. 144 with feature- based filters was an important impetus. Second, researchers at Edinburgh (Calder 1988, Bird 1992) first suggested using FDLs in phonological and morphological...

Ngày tải lên: 08/03/2014, 07:20