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[PDF] Top 20 1 Ra n d o mA s s i g n m e n t

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1 Ra n d o mA s s i g n m e n t

1 Ra n d o mA s s i g n m e n t

... 1. What is the most transplants in principle that could be done in this group? For computing this, assume that the only constraint is the physical avail- ability of kidneys. So, for instance, allow for ... See full document

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Conditions on Consistency of Probabilistic Tree Adjoining Grammars

Conditions on Consistency of Probabilistic Tree Adjoining Grammars

... Conditions on Consistency of Probabilistic Tree Adjoining Grammars C o n d i t i o n s o n C o n s i s t e n c y o f P r o b a b i l i s t i c T r e e A d j o i n i n g G r a m m a r s * A n o o p S a[.] ... See full document

7

Universal Guides and Finiteness and Symmetry of Grammar Processing Algorithms

Universal Guides and Finiteness and Symmetry of Grammar Processing Algorithms

... UNIVERSAL GUIDES AND FINITENESS AND SYMMETRY OF GRAMMAR PROCESSING ALGORITHMS U N I V E R S A L G U I D E S A N D F I N I T E N E S S A N D S Y M M E T R Y O F G R A M M A R P R O C E S S I N G A L G[.] ... See full document

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Chart Parsing of Robust Grammars

Chart Parsing of Robust Grammars

... Chart Parsing of Robust Grammars C h a r t P a r s i n g o f R o b u s t G r m n m a r s * S e b a s t i a n G o e s e r g s r @ d h d i b m l b i t n e t I B M D e u t s c h l a n d G m b H o G A D L[.] ... See full document

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Adaptation to New Microphones Using Tied Mixture Normalization

Adaptation to New Microphones Using Tied Mixture Normalization

... ADAPTATION TO NEW MICROPHONES USING TIED MIXTURE NORMALIZATION A D A P T A T I O N T O N E W M I C R O P H O N E S U S I N G T I E D M I X T U R E N O R M A L I Z A T I O N A n a s t a s i o s A n a s[.] ... See full document

5

Linguistics and Automated Language Processing

Linguistics and Automated Language Processing

... LINGUISTICS AND AUTOMATED LANGUAGE PROCESSING L I N G U I S T I C S A N D A U T O M A T E D L A N G U A G E P I ~ O C E S S I N G 1 0 1 T h i s p a p e r i s c o n c e r n e d w i t h n a t u r a l l[.] ... See full document

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Sequencing in a Connectionist Model of Language Processing

Sequencing in a Connectionist Model of Language Processing

... Sequencing in a Connectionist Model of Language Processing S e q u e n c i n g i n a C o n n e c t i o n i s t M o d e l o f L a n g u a g e P r o c e s s i n g I M i c h a e l G A S S E R 2 M i c h a[.] ... See full document

6

Incremental Parsing and Reason Maintenance

Incremental Parsing and Reason Maintenance

... Incremental Parsing and Reason Maintenance I n c r e m e n t a l P a r s i n g a n d R e a s o n M a i n t e n a n c e M a t s W i % n D e p a r t m e n t o f C o m p u t e r a n d I n f o r m a t i o[.] ... See full document

6

The Lexicon in Text Generation

The Lexicon in Text Generation

... The Lexicon in Text Generation T h e Lexicon in Text G e n e r a t i o n S u s a n n a C u m m i n g , U S C / I S I 1 I n t r o d u c t i o n 1 In this paper I will review the state of the text gener[.] ... See full document

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Integrated Text and Image Understanding for Document Understanding

Integrated Text and Image Understanding for Document Understanding

... Integrated Text and Image Understanding for Document Understanding I n t e g r a t e d Text and I m a g e U n d e r s t a n d i n g for D o c u m e n t U n d e r s t a n d i n g Sttzalzo, e Liebowitz[.] ... See full document

6

Blending Segmentation With Tagging in Chinese Language Corpus Processing

Blending Segmentation With Tagging in Chinese Language Corpus Processing

... BLENDING SEGMENTATION WITH TAGGING IN CHINESE LANGUAGE CORPUS PROCESSING B L E N D I N G S E G M E N T A T I O N W I T H T A G G I N G I N C H I N E S E L A N G U A G E C O R P U S P R O C E S S I N G[.] ... See full document

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Word Manager: A System for the Definition, Access and Maintenance of Lexical Databases

Word Manager: A System for the Definition, Access and Maintenance of Lexical Databases

... Word Manager A System for the Definition, Access and Maintenance of Lexical Databases W o r d M a n a g e r A S y s t e m f o r t h e D e f i n i t i o n , A c c e s s a n d M a i n t e n a n c e o f[.] ... See full document

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POS Tagging Using Relaxation Labelling

POS Tagging Using Relaxation Labelling

... POS Tagging Using Relaxation Labelling P O S T a g g i n g U s i n g R e l a x a t i o n L a b e l l i n g Llufs P a d r 6 D e p a r t a m e n l ; d e L l e n g u a t g e s i S i s t e m e s I n f o r[.] ... See full document

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Survey of the Message Understanding Conferences

Survey of the Message Understanding Conferences

... SURVEY OF THE MESSAGE UNDERSTANDING CONFERENCES S U R V E Y O F T H E M E S S A G E U N D E R S T A N D I N G C O N F E R E N C E S Beth M Sundheim N a v a l C o m m a n d , C o n t r o l & O c e a n[.] ... See full document

5

TOWARD INTEGRATED DICTIONARIES FOR M(a)T: motivations and linguistic organisation

TOWARD INTEGRATED DICTIONARIES FOR M(a)T: motivations and linguistic organisation

... TOWARD INTEGRATED DICTIONARIES FOR M(a)T motivations and linguistic organisation TOWARD I N T E G R A T E D D I C T I O N A R I E S FOR M ( a ) T m o t l v a t l o n s a n d l i n g u i s t i c o r g[.] ... See full document

6

Semantic Classes and Syntactic Ambiguity

Semantic Classes and Syntactic Ambiguity

... SEMANTIC CLASSES AND SYNTACTIC AMBIGUITY S E M A N T I C C L A S S E S A N D S Y N T A C T I C A M B I G U I T Y Philip Resnik* D e p a r t m e n t o f C o m p u t e r a n d I n f o r m a t i o n S c[.] ... See full document

6

Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

... Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models B a y e s i a n L e a r n i n g of G a u s s i a n M i x t u r e D e n s i t i e s for H i d d e n M a r k o v M o d e l s J e[.] ... See full document

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Hypothesizing Word Association From Untagged Text

Hypothesizing Word Association From Untagged Text

... HYPOTHESIZING WORD ASSOCIATION FROM UNTAGGED TEXT H Y P O T H E S I Z I N G U N T A G G E D T E X T W O R D A S S O C I A T I O N F R O M Tomoyoshi Matsukawa B B N S y s t e m s a n d T e c h n o l o[.] ... See full document

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Combination of an Automatic and an Interactive Disambiguation Method

Combination of an Automatic and an Interactive Disambiguation Method

... Combination of an Automatic and an Interactive Disambiguation Method C o m b i n a t i o n o f a n A u t o m a t i c a n d a n I n t e r a c t i v e D i s a m b i g u a t i o n M e t h o d M a s a y a[.] ... See full document

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Predicting and Managing Spoken Disfluencies During Human Computer Interaction

Predicting and Managing Spoken Disfluencies During Human Computer Interaction

... PREDICTING AND MANAGING SPOKEN DISFLUENCIES DURING HUMAN COMPUTER INTERACTION P R E D I C T I N G A N D M A N A G I N G S P O K E N D I S F L U E N C I E S D U R I N G H U M A N C O M P U T E R I N T[.] ... See full document

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