Open Source Mac Languages Software

Before Unicode, there were several competing character encodings for the Coptic script. For instance, one group of fonts might map Coptic letters Γγ to Latin keys Gg, while another group might map them to Latin keys Jj. There are several reasons for the user to opt for legacy rather than Unicode encodings. Two deserve special mention. First, there are certain marks used in Biblical and other textual criticism that do not appear in Unicode; second, it is far easier to type in a legacy encoding and then turn it into Unicode than to type directly in Unicode. This package aims to act as a stepping stone to Unicode, by including several legacy fonts hard-coded to take advantage of the multiple encodings, as well as a UNIX shell script, in multiple shell languages, to transcode between these encodings. All twelve encodings in wide use are supported. The fonts in this package are compatible with many operating systems; the shell scripts support Mac and Linux (more soon).

new ones can be found at https://code.google.com/p/ooc-gcc/

The Key Store is a directory where users can find the symbolic meaning to a word as defined in Holy Scripture. These are often referred to as the keys of the Kingdom of Heaven. Much like a secret code, the directory exposes a universal dialect, all but nearly lost throughout the Dark Ages of time. Yet, fragments of this language remained until today such as, Father = Time and Mother = Nature. The database is expandable to grow as more entries and the sources are uncovered.

Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.

A C++ library to scan Homeric Greek (dactylic hexameter) and output the meter.

Open-Tamil is a full featured Tamil text processing library in Python. It works fully in Python 2, 3. Published via pip - python package index. See: https://pypi.python.org/pypi/Open-Tamil/0.67