Open Source Java Linguistics Software for Mac

The Helsinki Finite-State Transducer toolkit is intended for processing natural language morphologies. The toolkit is demonstrated by wide-coverage implementations of a number of languages of varying morphological complexity.

WordNet Database in various SQL format

TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP full text search engine (http://cwb.sourceforge.net) and a range of statistical functions (factorial analysis, classification, cooccurrency analysis, etc.) based on R packages (http://www.r-project.org). Read the scientific background at the Textométrie project web site http://textometrie.ens-lyon.fr/?lang=en. Read a full description at the TEI Tools wiki http://wiki.tei-c.org/index.php/TXM.

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.

Ghawwas (previously known as Khawas) is an open source system for Arabic corpora processing. Ghawwas V4.0 provides the following main functions: a. Frequency list for single word and N-Grams b. Concordance c. Collocation (MI, CHI Squared, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient) d. Lexical patterns search e. Two corpora frequency profile comparison based on MI, CHI, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient f. Accept Windows and UTF-8 character encoding g. Accept TXT, DOC, DOCX, RTF and HTML formats h. Export the processing results in CSV file format

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

The BioLemmatizer is a domain-specific lemmatization tool for the morphological analysis of biomedical literature. It is tailored to the biological domain through integration of several published lexical resources related to molecular biology. It focuses on the inflectional morphology of English, including the plural form of nouns, the conjugations of verbs, and the comparative and superlative form of adjectives and adverbs. README: https://sourceforge.net/projects/biolemmatizer/files/ The BioLemmatizer 1.2 release adds an optional functionality to normalize British English spellings into American English spellings and then retrieve corresponding lemmas. If you use the BioLemmatizer to support academic research, please cite the following paper: Haibin Liu, Tom Christiansen, William A Baumgartner Jr, and Karin Verspoor BioLemmatizer: a lemmatization tool for morphological processing of biomedical text Journal of Biomedical Semantics 2012, 3:3.

OO Pinyin Guide is a Java extension for OpenOffice 3 or higher. It enables the user to add pinyin transliteration over Chinese characters inside a text document. This tool can be useful for people learning or teaching Chinese.

The Graph Annotation Framework (GrAF) models linguistic annotations using a data model based on Graph theory and algorithms. The GrAF standard is a work product of ISO TC37SC4 Working Group 1. This Java library is NOT part of the GrAF standard and standoff annotation files produced by the library may not be GrAF compliant.

IT WILL WORK WITH A JAVA DEVELOPMENT KIT 1.7 ONLY !!! This program is a data-miner and a knowledge-miner. It does exactly the opposite of what the text summarizers do. A text summarizer produces a shortened text given some text as an input. An inverse summarizer takes the shortened input, a similar or a same text and does the process in reverse. This results in an expanded text. It can be used with any text or notes that have the knowledge gaps. It is a great aid to any creative work and it simply pin-points to data that may be of some relevance. How to run this program? 1. Make sure JAVA 1.7 development is installed and running/compiling properly with all environment variables properly set. 2. Uncompress the LITE release into a desired directory. 3. Go to a src/ directory with a Terminal/Console/Command-Prompt and do the following: javac Te2.java java Te2 The program should open.

jWords is a port of WORDS (by William Whitaker, a free latin-to-english dictionary program written in Ada), to Java. Besides the dictionary will be translated to the German language.

HermeneutiX is a tool for diagramming syntactic and semantic structures of complex (not necessarily foreign-language) texts (e.g. bible or other historical excerpts). HermeneutiX is now part of SciToS (the scientific tool set). Starting with version 2.0.0, HermeneutiX can be found on GitHub. Please check out the release summary: https://github.com/scientific-tool-set/scitos/releases For an introduction, check out this video: https://youtu.be/uQjewyG0Ad8 PS: To run a Java application such as HermeneutiX (i.e. SciToS) you need a Java Runtime Environment (JRE). HermeneutiX is currently built to be compatible down to JRE version 6. You may download the current JRE here: http://www.java.com/en/download

Entity recognition and normalization software for biomedical text

Translating subtitles in format SubRip from one natural language to other. It is based on Google Translate without API and therefore without payment. Translator have automatic and manual spell checkers.

EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.

A JAVA Arabic stemmer that is based on Shereen Khoja algorithm. This java class offers a function called stemWrod which takes an arabic word and return the stem of it.

KneeTex is an open–source, stand–alone application for information extraction from narrative reports that describe an MRI scan of the knee. Given an MRI report as input, the system outputs the corresponding clinical findings in the form of JavaScript Object Notation objects. The extracted information is mapped onto TRAK, an ontology that formally models knowledge relevant for the rehabilitation of knee conditions. As a result, formally structured and coded information allows for complex searches to be conducted efficiently over the original MRI reports, thereby effectively supporting epidemiologic studies of knee conditions.

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 lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.

The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework. The project also includes CYMRIE an adapted version for Welsh of the GATE - ANNIE Named Entity Recognition (NER) application for a range of entities such as Persons, Organisations, Locations, and date and time expressions.

Annoschemer is a little tool for easy editing of MMAX2 annotationschemes.

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

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.