Thursday, 27 June 2013

How to embed Java code in C++ code


#include /* where everything is defined */
int main() {
JavaVM *jvm; /* denotes a Java VM */
JNIEnv *env; /* pointer to native method interface */
JDK1_1InitArgs vm_args; /* JDK 1.1 VM initialization arguments */
vm_args.version = 0x00010001; /* New in 1.1.2: VM version */
/* Get the default initialization arguments and set the class
* path */
JNI_GetDefaultJavaVMInitArgs(&vm_args);
vm_args.classpath = ...;
/* load and initialize a Java VM, return a JNI interface
* pointer in env */
JNI_CreateJavaVM(&jvm, &env, &vm_args);
/* invoke the Main.test method using the JNI */
jclass cls = env->FindClass("Main");
jmethodID mid = env->GetStaticMethodID(cls, "test", "(I)V");
env->CallStaticVoidMethod(cls, mid, 100);
/* We could have created an Object and called methods on it instead */
/* We are done. */
jvm->DestroyJavaVM();
}

Scientific Writing Assistant

Intro: This Swan - Scientific Writing AssistaNt - aims at helping writers with the content, not the grammar or spelling. It guides you towards known good scientific writing practices and helps your readers find your contribution. The tool was designed to help you with your writing, not to merely point out errors. Using the tool should be simple; just enter your text sections into the tool, optionally make some manual elaboration and click the "Evaluate" button. Once you have used the tool with one of your own scientific papers, do let us know how it has helped to you.

Tuesday, 16 April 2013

DLLs on different Visual Studio versions

A quick note:
- Cannot allocate memory on DLL (newer version, VS 2010) which is loaded \& accessed in the program of older version, VS 2005
- TBA

Thursday, 11 April 2013

Nile - Syntax-based Word Alignment Tool


Link: https://code.google.com/p/nile/
Intro: Nile is a supervised, discriminative word alignment package that can make use of arbitrary and overlapping features

Word Alignment Visualization Tool

Linkhttp://nlg.isi.edu/demos/picaro/

Sunday, 7 April 2013

SENNA toolkit

Intro: SENNA is a software distributed under a non-commercial license, which outputs a host of Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG).
SENNA is fast because it uses a simple architecture, self-contained because it does not rely on the output of existing NLP system, and accurate because it offers state-of-the-art or near state-of-the-art performance.