Open Source Java Machine Translation Software

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.

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.

TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer maintained, as of 8/15/2019. You are free to continue to use this software under the license for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com

Web service providing access to the Autshumato Machine Translation (MT) and other Moses Statistical MT systems. Functionality includes: - Automatic sentence, document, web page translation. - Improvements for translations. - Reviewer requests and interface to review improvements - Connection to the latest version of the Autshumato ITE, Post Edits done on inserted automatic translations are automatically submitted to the MTWS. - Administration interface to add users, reviewers and MT systems. - Exposed API for all of the services. - Ability to log into the system using your Google or Facebook ID. - All requests are logged by IP. Licensed under the GNU GPL v3 (or later): http://www.gnu.org/licenses/gpl-3.0.txt

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

Distributed phrase-based machine translation training tool based on Hadoop.

Multilingual Content Synchronization with Wikis: CoSyne is a Research and Technological Development project co-funded by the European Union. Details: http://cosyne.eu

Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.

This application was developed by Incentro to satisfy requests by clients for a sentiment analyser for the Dutch language. It is currently in it's alpha stage and we expect to have a beta release by November 2012. If you would like to help with the development or testing of this product please contact us at +31[0]15 76 40 750 - of info {at} incentro.com. Deze applicatie is ontwikkeld door Incentro om te voldoen aan klantaanvragen voor een sentimentanalyse module voor de Nederlandse taal. Momenteel is de module in alpha versie beschikbaar en een beta versie wordt verwacht in november 2012. Als u ons wilt helpen bij het ontwikkelen of testen van deze module, neem dan contact op met Incentro via +31[0]15 76 40 750 - of info {at} incentro.com.

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

Mitzuli is an open source translator app for Android featuring a full offline mode, voice input (ASR), camera input (OCR), voice output (TTS), and more!

PRDL is one of the core components within the ENDORSE project. The scope of the language is to encompass clauses from data protection legislation and enterprise privacy policies in order to e.g. derive data access decisions automatically based on the enterprise privacy policies (EPPs). There have been many initiatives for expressing privacy rules and legal restrictions into a computable way. The attempt of PRDL is to present a collaborative result towards a multistakeholder language. The goal was that PRDL should be sufficiently expressive to define EPPs for SMEs, it should link the wording of the data privacy laws of different European countries, and it should be represented in natural language and therefore should be easy to understand. Additionally it should be able to express the workflows that have to be conducted within the helping wizards. After all, it should be automatically or semi automatically executable by a rule engine.

Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group at Stanford University, a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis.

SEPa! Java grammar related class library.

This is a Gujarati stemmer in Java. Stemming is a process in which affixes are removed form the root word (stem). It relates morphological variant words to corresponding common root. For example "પ્રતિઉપયોગી" is word which has stem " ઉપયોગ". Stemmers are language specific tools. The design of a stemming algorithm requires a significant level of linguistic expertise. There has been lot of significant work in the development and evaluation of stemmer for non-Indian languages, but very less or no significant work has been done on Indian front especially for Gujarati language.The code of this stemmer is based on algorithm designed under guidance of Prof. Nikita Desai, India. It takes input file of type .txt containing Gujarati text encoded as UTF-8 and then removes stop words which are unessential. After processing rest of the words, it outputs corresponding file containing all stem words plus other details.

Tradubi is an open-source Ajax-based web application for social translation built upon Apertium.

To aid translation of satsangs of Paramhamsa Nithyananda. Can be used for general purpose by others as well. This translator desktop app uses google translator to translate English text. The auto generated translations are then enriched with human alternation using an easy graphical user interface. Time stamp information may be synched and a subtitle file or a simple textual output may be generated. Additionally it is planned to use google voice tools to also add voice over from these translated text. Finally the subtitle, translated audio (if any) would be muxed with the original video and uploaded.

this procect to use invert .text file using java

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.

openTMS is a free, open source, translation memory system based entirely on open-source standards.