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Morphology-2

Morphology-2

Morphology-2. Sudeshna Sarkar Professor Computer Science & Engineering Department Indian Institute of Technology Kharagpur. Morphology in NLP. Analysis vs synthesis what does dogs mean? vs what is the plural of dog ? Analysis Need to identify lexeme Tokenization

By haig
(292 views)

Discussion with Gregor Kiczales at UBC

Discussion with Gregor Kiczales at UBC

Discussion with Gregor Kiczales at UBC. Ontology of AOP Ontology is the study of what there is, an inventory of what exists. An ontological commitment is a commitment to an existence claim for certain entities. Slides 2 - 5 and the last one are Gregor’s.

By jamese
(183 views)

Tree Traversal

Tree Traversal

Tree Traversal. +. Inorder traversal: A/B*C*D+E ( LVR ) Infix form Preorder traversal: +**/ABCDE ( VLR ) Prefix form Postorder traversal: AB/C*D*E+ ( LRV ) Postfix form . *. E. *. D. 1. /. C. 2. 17. A. B. 3. 14. 18. 19. 4. 11. 15. 16. 8. 5. 12. 13. 6. 7. 9. 10.

By keladry
(214 views)

More Flexible Software By Favoring Implicit Calls and Implicit Communication

More Flexible Software By Favoring Implicit Calls and Implicit Communication

More Flexible Software By Favoring Implicit Calls and Implicit Communication. by Karl Lieberherr Northeastern University, CCIS/PRL Joint work with Bryan Chadwick, Ahmed Abdelmeged and Therapon Skotiniotis. Overview. Why is traversal abstraction important?

By lela
(116 views)

An Analysis of the Skype Peer-to-Peer Internet Telephony Protocol

An Analysis of the Skype Peer-to-Peer Internet Telephony Protocol

An Analysis of the Skype Peer-to-Peer Internet Telephony Protocol Salman A. Baset and Henning Schulzrinne. Introduction. Skype is a peer-to-peer VoIP client created by Niklas Zennström and Janus Friis (KaZaa developers) in 2003. Skype downloaded more than 500 million times(2007).

By sherri
(139 views)

SIP and NAT

SIP and NAT

SIP and NAT. Dr. Jonathan Rosenberg Cisco Fellow. Network Address Translation (NAT) Creates address binding between internal private and external public address Modifies IP Addresses/Ports in Packets Benefits Avoids network renumbering on change of provider

By makani
(143 views)

Genome Encoding

Genome Encoding

Genome Encoding. 05/03/ 2013. Agenda. Codebase updates Codified genome. Codebase Updates. Forked project in order to develop composition strategies separately Intent to merge with Role transformations Separating strategies was not a good idea Made code overly complicated

By quasar
(70 views)

Trees

Trees

Trees. A tree's a tree. How many more do you need to look at? --Ronald Reagan. Tree Rules. One root Each node may have 1 or more children Each node except the root has exactly 1 parent Moving up a tree to each parent leads to the root. root. parent. leaf. child. leaf. Tree Example.

By kiley
(98 views)

Linked Lists

Linked Lists

Linked Lists. Linked list : a list of items (nodes), in which the order of the nodes is determined by the address, called the link , stored in each node. Link field in last node is NULL. Linked Lists (continued). Example:

By oralee
(134 views)

MA/CSSE 473 Day 19

MA/CSSE 473 Day 19

MA/CSSE 473 Day 19. Subset Generation. MA/CSSE 473 Day 19. HW 7 due today Exam 1 Thursday There will be significant time for your questions in tomorrow's class HW 8 has grace days to allow you to finish it early in the break if you wish.

By yuki
(141 views)

STACK (Linear Stack) Traverse i.e. Printing all the elements of an Stack

STACK (Linear Stack) Traverse i.e. Printing all the elements of an Stack

STACK (Linear Stack) Traverse i.e. Printing all the elements of an Stack. A[4]. Traverse means printing all elements of stack. A[3]. To Traverse , we have to take temporary Stack. A[2]. A[1]. Firstly , we will print the element. A[0]. top= -1. Then Take out the element.

By santos
(103 views)

Alyce Brady CS 470: Data Structures CS 510: Computer Algorithms

Alyce Brady CS 470: Data Structures CS 510: Computer Algorithms

Depth-First Search. In-order Traversal: Left Child - Root - Right Child. Alyce Brady CS 470: Data Structures CS 510: Computer Algorithms . In-order Traversal: Left Child - Root - Right Child. A. B. C. D. E. F. G. H. I. J. K. L. M. N. O.

By malise
(59 views)

CS361

CS361

Week 6 - Monday. CS361. Last time. What did we talk about last time? Visual appearance Lights Materials Sensors. Questions?. Project 2. Week 1: Color and XNA. RGB. We will primarily focus on the RGB system for representing color

By kiana
(147 views)

Preorder Traversal with a Stack

Preorder Traversal with a Stack

Preorder Traversal with a Stack. Push the root onto the stack. While the stack is not empty pop the stack and visit it push its two children. 14. 14 84 13 53 06 99 72 43 33 64 97 51 25. Stack. 14. 43. 84. 16. 33. 97. 13. 72. 53. 99. 64. Preorder Traversal with a Stack.

By neith
(70 views)

Foundation of Computing Systems

Foundation of Computing Systems

Foundation of Computing Systems. Lecture 1 Arrays and Matrices. Arrays. An array is a finite, ordered and collection of homogeneous data elements Finite: because it contains only limited number of elements

By loring
(65 views)

樹狀結構 Trees

樹狀結構 Trees

樹狀結構 Trees. 樹狀結構之術語 (Terminology). 樹狀結構之定義 (Definition). A tree consists of a node, called its root, and zero or more subtrees, each of which is itself a tree. 樹狀結構之處置程序 ( Traversal ). 前序處置程序 (Preorder traversal) 後序處置程序 (Postorder traversal) 中序處置程序 (Inorder traversal). 先處置樹根

By dinesh
(271 views)

Preorder Traversal with a Stack

Preorder Traversal with a Stack

Preorder Traversal with a Stack. Push the root onto the stack. While the stack is not empty pop the stack and visit it push its two children. 14. 14 84 13 53 06 99 72 43 33 64 97 51 25. Stack. 14. 43. 84. 16. 33. 97. 13. 72. 53. 99. 64. Preorder Traversal with a Stack.

By shanae
(68 views)

Ics202 Data Structures

Ics202 Data Structures

Ics202 Data Structures. A. C. B. D. E. F. G. The OutPut : PreOrder Traversal A B D E C F G InOrder Traversal D B E A F C G PostOrder Traversal D E B F G C A Breadth Traversal A B C D E F G.

By dorjan
(75 views)

For John

For John

For John. DAJ (temporary name for AspectJ with traversals). planned to be added to AspectJ provides an efficient implementation of traversals using the AP library we have also added traversals to Java but implementation is very slow (using reflection)

By trista
(135 views)

Problem with Java and

Problem with Java and

Problem with Java and. how it causes a problem for DJ. Problem with Java and DJ. What is coming is not about a problem of DJ but about a problem with Java: the lack of parameterized classes.

By sue
(55 views)

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