Search Results for "open java projects" - Page 5

This project extends the ASV Toolbox from the Wortschatz-project at the University of Leipzig. It annotates terms extracted by the "TE" (Terminolgy Extraction) and "Namerec" modules with semantic resources.

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.

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.

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.

InGen is a java-based tool that automatically extracts keywords from a given LaTeX-Document and creates an index for those keywords.

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.

Set of tools designed to edit, check and mantain TMX translation memories.

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.

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.

SEPa! Java grammar related class library.

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.

An implementation of the Simplified Lesk algorithm for Germanet from the University of Tübingen.

BANAL - Banal And Not A Language. A prototyping notation compatible with Java and C# (via the largest possible common footprint between the two).

JPPL is an experimental, exploratory project aiming at the target of geting better (written) language analyzing software.

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.

A Java application that tries to learn the ontology of sport articles in German newspapers.

A compiler to improve relation management between mobile users. This compiler will handle data islands for data transportation between a client mobile phone and a server node accesing a cellular network.

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.

This project aimed at creating framework and binary data format for etymological Arabic system. and will not continue hosted at sourceforge because the term of use determine me as enemy, so I am prohibited from using sourceforge services.

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.

Nasira is a Java library for reading text files with non-ASCII characters (e.g. documents in German, Swedish,...). To do so, it automatically determines the character encoding (iso-8859-1, utf-8) used to encode the file through user-provided hints.

Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy.

Making Hebrew properly searchable by IR software. Right now, most work is being done in our mailing list (planning), and on our github repository (concept code, see below).

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.