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statistical rule based method

Rule Based Method Versus Statistical Method For Speech Understanding Of The Tunisian Dialect

Rule Based Method Versus Statistical Method For Speech Understanding Of The Tunisian Dialect

... is based on semantic ...each method is based on the final output which is semantic ...first method is a rule based method. The second method is based on CRF ...

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A Rule Augmented Statistical Phrase based Translation System

A Rule Augmented Statistical Phrase based Translation System

... a Rule Definition Language (RDL). Our RDL borrows the concept of the rule- based method that allows users to control the translation output by writing rules using their lin- guistic and domain ...

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Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation

Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation

... network based rule sequence model to incorporate arbi- trary long contextual information during esti- mating probabilities of rule ...our method achieves a ...in rule table size for ...

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A Continuous Space Rule Selection Model for Syntax based Statistical Machine Translation

A Continuous Space Rule Selection Model for Syntax based Statistical Machine Translation

... simple method, used in the first models of tree-to-string transla- tion (Liu et ...translation rule by relative frequencies. For ex- ample, in Figure 1, the rule that occurs more times in the ...

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GUIDING FEATURE BASED SAR IMAGE ALIGNMENT USING BAG OF WORDS MODEL

GUIDING FEATURE BASED SAR IMAGE ALIGNMENT USING BAG OF WORDS MODEL

... processing, statistical methods, or semantic methods. Rule based pattern matching [39] and Hybrid approach [42] were other techniques that can be used to process user ...

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Improving Statistical Word Alignment with a Rule Based Machine Translation System

Improving Statistical Word Alignment with a Rule Based Machine Translation System

... a rule-based machine translation system lie in two aspects: (1) It can recognize the multi-word units, particularly separated phrases, in the source ...our method is able to handle the multi-word ...

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A Rule-Based Method for Outlying Rating Detection

A Rule-Based Method for Outlying Rating Detection

... our method contributes tothe increase through a practical ...modify statistical measureFleiss' kappa and, then calculate the degree obtained from our method and compare them withthe original degree ...

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Incorporating Statistical Information of Lexical Dependency into a Rule-Based Parser

Incorporating Statistical Information of Lexical Dependency into a Rule-Based Parser

... a method to incorporate statistical information into a rule- based parser to resolve syntactic ...the statistical information from the Penn Treebank, and apply the information to the ...

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How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method

How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method

... The average length of lexicons extracted from training sub- sets with the same splitting depth is calculated and shown in Figure 3. Again, lines are observed. As either of variant in this figure is in a logarithmic form, ...

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Fast Translation Rule Matching for Syntax based Statistical Machine Translation

Fast Translation Rule Matching for Syntax based Statistical Machine Translation

... translation rule set, in order to make the com- mon parts of translation rules shared as much as ...the rule matching be- tween ...the rule matching and the entire translation process compared with ...

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Combining Rule Based and Statistical Syntactic Analyzers

Combining Rule Based and Statistical Syntactic Analyzers

... of rule-based POS taggers (Tapanainen and Voutilainen, 1994) or a combination of a rule- based POS tagger with a statistical one (Aduriz et ...purely statistical taggers, we ...

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A Study of Translation Rule Classification for Syntax based Statistical Machine Translation

A Study of Translation Rule Classification for Syntax based Statistical Machine Translation

... the rule contributions and the redundances issues using the presented rule classification based on some real translation systems, we plan to implement some syn- chronous grammar based syntax ...

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Tighter Integration of Rule Based and Statistical MT in Serial System Combination

Tighter Integration of Rule Based and Statistical MT in Serial System Combination

... Tighter Integration of Rule Based and Statistical MT in Serial System Combination Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pages 913?920 Manchester,[.] ...

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Stemming Algorithms: A Comparative Study and their Analysis

Stemming Algorithms: A Comparative Study and their Analysis

... removal method removes suffix or prefix from the words so as to convert them into a common stem ...removal method is based on two principles one is iterations and the other is longest ...

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Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

... tropy based rule selection (MERS) model for syntax-based statistical machine transla- tion ...context-dependent rule se- lection during ...

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Ontology based semantic annotation: an automatic hybrid rule based method

Ontology based semantic annotation: an automatic hybrid rule based method

... The subtask 1 of the BB BioNLP-ST ranks competitors using the SER measure that must be as close as possible to 0. We are quite close to the winner with a SER of 48.7% against 46%. Our F-measure (60.8%) is even better ...

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Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... After detailed literature study and evaluation of the above mentioned three MT systems, we can conclude that for languages with similar lexical and syntactic structure e.g. Urdu and Hindi, the Rule based MT ...

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SENTIMENT ANALYSIS USING REPRESENTATIVE TERMS  A GROUPING APPROACH FOR BINARY 
CLASSIFICATION OF DOCUMENTS

SENTIMENT ANALYSIS USING REPRESENTATIVE TERMS A GROUPING APPROACH FOR BINARY CLASSIFICATION OF DOCUMENTS

... Retrieval method based on color, texture, shape, or multi-feature retrieval method, belonging to image low-level visual ...technique based on the color characteristics of the image from the ...

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Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

... a method, in which they have used mixture of classification approaches, and then compared the results by applying them on the same speech corpus (EmoDB), and obtained acceptable results ...GMM method has ...

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