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Java Marine API is an NMEA 0183 library for Java.
For furher info and latest source code, see project's Github pages.
http://github.com/ktuukkan/marine-api/
LANGANA - A COMPUTER PROGRAM THAT UNDERSTANDS A GIVEN TEXT AND ANSWERS QUESTIONS ABOUT IT
LANGANA is a computer program
that reads and understands a given text or book and then answers questions related to it.
I have finished the LANGANA-parser program which parses Turkish Language texts and
converts the output to a pseudo language and outputs this parsed text to a file
and a MySQL database.
Currently, I am working on designing queries on this parsed pseudo language database tables.
The parsed DB table data enables me to make complex queries to extract sentences and
reach out to data to answer questions such as "Ali nereye gitti?".
Bangla text to speech
Multilingual (Bangla, English) real-time ([almost] in a GPU) speech synthesis library.
Installation
--------------------------------------
* Install Anaconda
* conda create -n new_virtual_env python==3.6.8
* conda activate new_virtual_env
* pip install -r requirements.txt
* While running for the first time, keep your internet connection on to download the weights of the speech synthesis models (>500 MB)
* For...
DeSR is a multilingual statistical dependency parser. It produces dependency parse trees for natural language sentences using a parsing model learned from annotated corpora.
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This is a code for the sentence parsing that does its job properly and FAST.
The main problem is that you really need a database of abbreviations so that phrases such as "Dr. Smith" are not calculated as 2 sentences, which means that the good parser must be language dependent.
I am also providing a list of all English abbreviations with the code.
USAGE:
parser p = new parser();
p.parseDoc("in.txt", "out.txt");
in.txt is the String for the filename that you wish to parse
out.txt is the String for the filename that you want to have as an output
This is a code for the sentence parsing that does its job properly and FAST.
The main problem is that you really need a database of abbreviations so that phrases such as "Dr. Smith" are not calculated as 2 sentences, which means that the good parser must be language dependent. I am also providing a list of all English abbreviations with the code.
You can always tweak the code to get a nicer output, but the main idea is still there, and completed with this little program.
MinGen is a Minimalist generator, the logical opposite to a parser. MinGen generates syntactically valid sentences by following the rules of Minimalism.