Dependecy Viewer v1.0 PC版

Dependency Viewer: A Visual Tool for Dependency Parsing in NLP

Dependency Viewer is an innovative visualization tool specifically designed for dependency trees, featuring powerful search and statistical functionalities. It serves as an invaluable aid in understanding the representation of dependency parsing within the realm of Natural Language Processing (NLP), thereby enhancing users' comprehension of dependency grammar.

Key Features

Search Functionality: The search feature allows users to find relevant content by inputting keywords. You can specify the length of the sentence (between 3 to 15 words), the number of tagged incorrect items (0 to 3), the presence of the word "不" with the part of speech AD, and specific dependency relations such as "转折点" depending on "谓".

Statistical Analysis: The statistic function provides insights into various characteristics of the entire text document. By entering the required keywords, users can not only search for relevant content but also set preferences for sentence length, the number of tagged incorrect items, and the inclusion of specific words and parts of speech. This comprehensive search capability supports complex queries, including the consideration of tree structures and statistical analysis, providing a clear and visual representation of the results.

Additional Enhancements

File Compatibility: The software supports saving images in vector format EMF, ensuring high-quality visuals.

Bug Fixes: The latest version addresses issues with incorrect comparison dependencies and improves the recovery of potentially missing data during file reading.

Advanced Search: Users can perform secondary searches within the results, refining their queries further.

Editing and Saving: The tool offers a straightforward editing and saving feature for dependency relations, automatically saving any changes made to the document.

How to Use Dependency Viewer

To leverage the full potential of Dependency Viewer, follow these simple steps:

Input Keywords: Enter your search keywords to initiate the search process.

Set Preferences: Specify your preferences for sentence length, tagged incorrect items, and specific word and part of speech inclusions.

Explore Results: Navigate through the search results, taking advantage of the advanced search capabilities to refine your findings.

Visualize and Analyze: Utilize the statistical analysis feature to gain a deeper understanding of the text's characteristics.

Save and Edit: Use the editing and saving functionalities to manage your dependency relations efficiently.

With Dependency Viewer, exploring and understanding dependency parsing in NLP has never been easier or more insightful.