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P/S/G

Autonomous Robot Navigation
P Sudha, S Usha & G Chamundi

Autonomous Robot Navigation P Sudha, S Usha & G Chamundi

... Page 577 Autonomous Robot Navigation P Sudha M Tech, CMR College of Engineering & Technology, Hyderabad S Usha Assistant Professor, CMR College of Engineering & Technology, Hyderabad G Chamundi Assist[.] ...

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Bottom Up Filtering: a Parsing Strategy for GPSG

Bottom Up Filtering: a Parsing Strategy for GPSG

... Bottom Up Filtering a Parsing Strategy for GPSG B o t t o m U p F i l t e r i n g a P a r s i n g S t r a t e g y f o r G P S G P h i l i p p e B L A C t I E (*) and J e a n Y v e s M O R I N (**) *Gr[.] ...

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Computing Phrasal signs in HPSG prior to Parsing

Computing Phrasal signs in HPSG prior to Parsing

... Computing Phrasal signs in HPSG prior to Parsing C o m p u t i n g P h r a s a l s i g n s i n H P S G p r i o r t o P a r s i n g K e n t a r o T o r i s a w a a n d a u n ' i c h i T s u j i i l ) c[.] ...

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A STUDY OF PHOTOPERIODIC BEHAVIOUR OF TEN VARIETIES OF MAIZE G. S. SrRoHr, R. B. MEHRA, D. P. S.

A STUDY OF PHOTOPERIODIC BEHAVIOUR OF TEN VARIETIES OF MAIZE G. S. SrRoHr, R. B. MEHRA, D. P. S.

... Study of correlations show that even when the flowering time of varieties was changed by photo- periodic treatments, the correlation between characters like height,[r] ...

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Unsupervised Learning of a Rule based Spanish Part of Speech Tagger

Unsupervised Learning of a Rule based Spanish Part of Speech Tagger

... Unsupervised Learning of a Rule based Spanish Part of Speech Tagger U n s u p e r v i s e d L e a r n i n g o f a R u l e b a s e d S p a n i s h P a r t o f S p e e c h T a g g e r C h i n a t s u A[.] ...

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FeasPar   A Feature Structure Parser Learning to Parse Spoken Language

FeasPar A Feature Structure Parser Learning to Parse Spoken Language

... FeasPar A Feature Structure Parser Learning to Parse Spoken Language F e a s P a r A F e a t u r e S t r u c t u r e P a r s e r L e a r n i n g t o P a r s e S p o k e n L a n g u a g e F i n n D a g[.] ...

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A Mapping for S-g-Closedness

A Mapping for S-g-Closedness

...  P and    { , , Q     x y , , z } . Let f :  P , ,  S    Q ,   is a function, defined by: f x    f z    z and f   y  y Set Z    z  RO Q  ,   ... P  and  f  1 ...

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Chart Parsing of Stochastic Spoken Language Models

Chart Parsing of Stochastic Spoken Language Models

... Chart Parsing of Stochastic Spoken Language Models C h a r t P a r s i n g o f S t o c h a s t i c S p o k e n L a n g u a g e M o d e l s C h a r l e s H e m p h i l l a n d J o s e p h P i c o n e T[.] ...

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Improving Search Strategies An Experiment in Best First Parsing

Improving Search Strategies An Experiment in Best First Parsing

... Improving Search Strategies An Experiment in Best First Parsing h n p r o v i n g S e a r c h S t r a t e g i e s A n E x p e r i m e n t in B e s b F i r s t P a r s i n g Hans I t A U G E N E I ) E[.] ...

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1993 Benchmark Tests for the ARPA Spoken Language Program

1993 Benchmark Tests for the ARPA Spoken Language Program

... 1993 BENCHMARK TESTS FOR THE ARPA SPOKEN LANGUAGE PROGRAM 1 9 9 3 B E N C H M A R K T E S T S F O R T H E A R P A S P O K E N L A N G U A G E P R O G R A M David S Pallett, Jonathan G Fiscus, William[.] ...

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TSNLP   Test Suites for Natural Language Processing

TSNLP Test Suites for Natural Language Processing

... TSNLP Test Suites for Natural Language Processing T S N L P T e s t S u i t e s f o r N a t u r a l L a n g u a g e P r o c e s s i n g S a b i n e L e h m a n n ~, S t e p h a n O e p e n ~ Sylvi(; l[.] ...

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A New Design of Prolog Based Bottom Up Parsing System With Government Binding Theory

A New Design of Prolog Based Bottom Up Parsing System With Government Binding Theory

... A NEW DESIGN OF PROLOG BASED BOTTOM UP PARSING SYSTEM WITH GOVERNMENT BINDING THEORY A N E W D E S I G N O F P R O L O G B A S E D B O T T O M U P P A R S I N G S Y S T E M WITH G O V E R N M E N T B[.] ...

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The VOYAGER Speech Understanding System: A Progress Report

The VOYAGER Speech Understanding System: A Progress Report

... THE VOYAGER SPEECH UNDERSTANDING SYSTEM A PROGRESS REPORT T H E V O Y A G E R S P E E C H U N D E R S T A N D I N G S Y S T E M A P R O G R E S S R E P O R T * Victor Zue, James Glass, David Goodine,[.] ...

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A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis

A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis

... Brienen, R. J. W., Phillips, O. L., Feldpausch, T. R., Gloor, E., Baker, T. R., Lloyd, J., Lopez-Gonzalez, G., Monteagudo- Mendoza, A., Malhi, Y., Lewis, S. L., Vasquez Martinez, R., Alexiades, M., Alvarez ...

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Benchmark Tests for the DARPA Spoken Language Program

Benchmark Tests for the DARPA Spoken Language Program

... BENCHMARK TESTS FOR THE DARPA SPOKEN LANGUAGE PROGRAM B E N C H M A R K T E S T S F O R T H E D A R P A S P O K E N L A N G U A G E P R O G R A M David S Pallett, Johathan G Fiscus, William M Fisher,[.] ...

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Die oudste Nederlanse Psalmberymings

Die oudste Nederlanse Psalmberymings

... D S T E N E D E R L A N D S E P S A L M B E R Y M IN G S ...O p bis. 160 van die eerste jaargan g van die Hervormde T eologiese Studies is daarop gew ys dat die ...

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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[.] ...

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Parsing Agglutinative Word Structures and Its Application to Spelling Checking for Turkish

Parsing Agglutinative Word Structures and Its Application to Spelling Checking for Turkish

... PARSING AGGLUTINATIVE WORD STRUCTURES AND ITS APPLICATION TO SPELLING CHECKING FOR TURKISH P A R S I N G A G G L U T I N A T I V E W O R D S T R U C T U R E S A N D I T S A P P L I C A T I O N T O S P[.] ...

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Isolating Cross linguistic Parsing Complexity with a Principles and Parameters Parser: A Case Study of Japanese and English

Isolating Cross linguistic Parsing Complexity with a Principles and Parameters Parser: A Case Study of Japanese and English

... Isolating Cross linguistic Parsing Complexity with a Principles and Parameters Parser A Case Study of Japanese and English I s o l a t i n g C r o s s l i n g u i s t i c P a r s i n g C o m p l e x i[.] ...

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The ATIS Spoken Language Systems Pilot Corpus

The ATIS Spoken Language Systems Pilot Corpus

... The ATIS Spoken Language Systems Pilot Corpus T h e A T I S S p o k e n L a n g u a g e S y s t e m s P i l o t C o r p u s C h a r l e s T H e m p h i l l , J o h n J G o d f r e y , G e o r g e R D[.] ...

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