Search Results for "java class analysis" - Page 4
Sort By:
Showing 101 open source projects for "java class analysis"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
-
2
PyAnnotation is a Python Library to access and manipulate linguistically annotated corpus files. Supported file formats are Kura XML, Elan XML and Toolbox files. A Corpus Reader API is provided to support statistical analysis within the NLTK.
-
3
Editor for formal grammars. Attempts to be universal – customizable for any grammatical formalism and any syntax. Provides features such as syntax checking and highlighting, transformations (refactoring) and advanced rule editor.
-
4
This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
A lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.
-
6
-
7
Connecting Historical Authorities with Links, Contexts and Entities. CHALICE is a historic placename gazetteer for the UK, published as Linked Data and linked to other widely-used sources of placename reference information on the semantic web.
-
8
stocleka is a project divided into a UI and a library for cleaning user stories and converting them to arff files (used for Weka). it may be mainly used for research and scientific purposes.
-
9
It's a utility application for updating and integrating translation memories, created by the Autshumato ITE, over a network. Licensed under the TMate Open Source License and free to download and be used by anyone.
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
The Scheme Natural Language Toolkit (S-NLTK) is a Scheme R6RS library for language and text processing, and various tasks related to symbolic and statistical analysis of language data.
-
11
leXkit: a client-server dictionary edition environment, that makes editing easier for the lexicographer, who hasn’t to be aware of technical issues. Entry meta-information is used to provide advanced functionality, such as context-dependent tasks.
-
12
This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
-
13
Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
-
14
Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
-
15
C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).
-
16
InGen is a java-based tool that automatically extracts keywords from a given LaTeX-Document and creates an index for those keywords.
-
17
The Neurpheus Morphological Analyser performs morphological analysis, stemming or word form generation tasks using sophisticated classification methods for an analysis of words unseen in a training dictionary.
-
18
DawNLITE is a Natural-Language-based Image Transmoding Engine. The software transforms an image to a video as recorded by a virtual camera panning and zooming over the image, following a natural language text description of the image.
-
19
-
20
ConTextKit is a Java-based implementation of Wendy Chapman's ConText algorithm for annotating the context of medical documents, specifically the negation, temporality, and experiencer.
-
21
Pes is an simple programing language. It has just few basic constructions and it has c-like & pascal-like syntax. The compiler output is Jasmin - an assembler for java virtual machine. It was my school project.
-
22
Tipa2Unicode is a little stand-alone application which lets you input Tipa-shortcuts and then displays Unicode symbols. You can then paste either side of the conversion to LaTeX or a word processor.
-
23
Want to count the number of syllables in a word? Want to create a random haiku? This Java application can do both. Just add the JAR file to your project for access to these basic classes. We use CMU's pronunciation dictionary to count each syllable.
-
24
Wordcorr
Data management for comparative linguistics
Wordcorr automates the tedious and risky process of tabulating and managing the sound correspondences used in working out the historical development of natural languages. Initial support was from NSF. -
25
Supertagger
Software for assigning supertags.
Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
