Search Results for "state-thread"

Argos Translate uses OpenNMT for translations and can be used as either a Python library, command-line, or GUI application. Argos Translate supports installing language model packages which are zip archives with a ".argosmodel" extension containing the data needed for translation. LibreTranslate is an API and web-app built on top of Argos Translate. Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct...

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.

RDRPOSTagger is a robust, easy-to-use and language-independent rule-based toolkit for Part-of-Speech (POS) and morphological tagging. RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. Additionally, RDRPOSTagger supports the pre-trained Universal POS tagging models for 40 languages. See the full usage of RDRPOSTagger at: http://rdrpostagger.sourceforge.net/

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.

iGREAT is an open-source, statistical machine translation software toolkit based on finite-state models.

...The python application is realised as a kind of pipe that starts with a web-corpus-reader which is followed by several workers (tokenizers, lemmatizers, ...) and finally completed by a result writer. In contrast to the state of the art approaches, this implementation is based on single words found in the web used as a corpus and translated to other languages. If translations of different source words intersect, it is assumed that the source words are synonymous. Finally, the matches are written into a proprietary file format in conjunction with WordNet synsets (note currently the result writer uses a very trivial method for placing the matches into WordNet and will be modified in the near future)

The Kyoto FST Decoder is a general decoding engine for Weighted Finite State Transducers. It features flexible XML-based configuration, beam-search decoding, and is able to output separate weights for weight tuning.

Python API to the german wordnet GermaNet. In the current state this can be only seen as a quickstart-help to access GermaNet. To be honest, this API can't be called API. To use it, you will need access to a licensed copy of GermaNet (version > 5).

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.

...It's similar in spirit but modified, interpolated Kneser-Ney, but uses the principle that the amount you discount should always be the amount that gets given to the backoff state (which makes the traditional count-of-counts stuff and the associated formulas for obtaining smoothing constants unusuable). This gives slightly better results than KN for standard LM building, but has larger advantages for interpolation and pruning. See <a href=freelm.sf.net> here </a> for documentation.