Create Three Classes For Words: An Abstract Class Cal 008305

Create Three Classes For the Words An Abstract Class Called Word A C

Create three classes for the words: an abstract class called Word, a class called Noun that inherits from Word, and a class called Verb that inherits from Word. The actual word is stored in class Word. The classes Noun and Verb should have different toString methods—their outputs should append either “(N)” or “(V)” respectively. Create two linked list classes: an abstract class called WordList that contains all linked list functionality, and subclasses called UnsortedWordList and SortedWordList that inherit from WordList. Each of these subclasses should have an insert method that adds a new word into the list at the appropriate position. Develop a GUI with two TextAreas: one on the left to display the unsorted list, and one on the right to display the sorted list. Implement command buttons for ADD, DELETE, and STOP. Create two menus: File (with options Open and Quit) and Display (with options Nouns and Verbs). When selecting File > Open, load the specified file, fill the linked lists, and display their contents in the TextAreas. When selecting File > Quit, exit the program. The Display menu options Nouns and Verbs should filter and show only nouns or verbs in the TextAreas. The input file contains one word per line, with an optional parenthesis indicating the word type, e.g., apple(N), eat(V).

Paper For Above instruction

The implementation of a class hierarchy for words, linked list management, and a graphical user interface (GUI) to manage and display these lists requires systematic architectural planning and coding practices. This paper discusses the design and development of such an application, emphasizing object-oriented programming principles, effective data structure utilization, and user interface interactions.

Design of Core Classes: Word, Noun, and Verb

The foundation of the application lies in the class hierarchy involving an abstract class called Word, along with concrete subclasses Noun and Verb. The Word class should encapsulate the core data—namely, the actual word string—and define an abstract toString method to be overridden by subclasses. This approach ensures that each specific type of word can define its own string representation, which is critical for display purposes.

The Noun and Verb classes inherit from Word and override the toString method to append "(N)" and "(V)" respectively. This polymorphic behavior facilitates differentiation between word types when displaying lists.

Such a class design promotes reusability and extensibility, enabling the addition of more word types if necessary. This object-oriented approach adheres to fundamental principles like encapsulation, inheritance, and polymorphism.

Linked List Hierarchy: WordList, UnsortedWordList, and SortedWordList

The linked list structure is implemented through an abstract class WordList that encapsulates common list functionalities, such as node management, traversal, and basic insertion/removal operations. The subclasses UnsortedWordList and SortedWordList extend WordList with specific insert methods—one that inserts words at the end (unsorted), and another that inserts words maintaining alphabetical order (sorted).

This hierarchical structure allows for flexible management of word collections, supporting both unsorted and sorted views. The insertion logic in SortedWordList involves comparing the new word with existing nodes and inserting it at the correct position, ensuring the list remains ordered.

Graphical User Interface (GUI) Design

The GUI features two TextAreas positioned side by side. The left displays the contents of the UnsortedWordList, while the right shows the SortedWordList. Users can add or delete words using command buttons labeled ADD, DELETE, and STOP. The interface also includes menus: File with options to Open and Quit, and Display with options to filter the displayed words to only Nouns or Verbs.

When the user selects File > Open, the application reads the specified file—containing one word per line with an optional parenthesis indicating the type—and populates (fills) both linked lists accordingly. The lists are then displayed in their respective TextAreas.

Choosing File > Quit terminates the program gracefully. The filtering options under Display clear the TextAreas before displaying only the nouns or verbs, based on user selection. This filtering relies on type checking of list elements, leveraging polymorphism.

The command buttons and menus orchestrate the core functionality, allowing dynamic list management and display updates, thus providing an interactive and user-friendly experience.

Handling File Input and Data Parsing

The input files follow a specific format where each line contains a single word, optionally followed by its type enclosed in parentheses, e.g., apple(N), eat(V). The program must parse these lines carefully—extracting the word and the type marker—and instantiate appropriate Word objects (Noun or Verb). Robust error handling ensures that malformed lines do not crash the application.

Implementation Considerations and Best Practices

The overall implementation should adhere to object-oriented best practices, encapsulating data and behavior within classes, and avoiding tight coupling between components. GUI components should be event-driven, responding to user actions with appropriate updates to linked lists and display areas.

Additionally, using interfaces and abstract classes supports code flexibility and future enhancements. Proper commenting, code organization, and modularity are essential for maintainability. Employing standard Java libraries for GUI components (like Swing) and data structures simplifies development and enhances cross-platform compatibility.

Conclusion

This comprehensive design integrates object-oriented programming, data structures, and graphical interfaces to develop a versatile application for managing word lists. It demonstrates the pragmatic application of polymorphism, inheritance, and user interaction handling to create an effective tool suitable for linguistic or educational purposes. Future improvements could include additional word types, more complex sorting algorithms, and enhanced graphical features.

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