Scientific Writing Assistant

SWAN: http://cs.joensuu.fi/swan/

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.

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

Google Relation Extraction Corpus

Link: https://code.google.com/p/relation-extraction-corpus/
News: http://googleresearch.blogspot.sg/2013/04/50000-lessons-on-how-to-read-relation.html

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

Link: http://nlg.isi.edu/demos/picaro/

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.

Link: http://ronan.collobert.com/senna/

Detection of near-duplicate documents

Link: https://github.com/vilda/shash/

Intro: A sample implementation of Charikar's hash for identification of similar documents.

Link: https://code.google.com/p/dkpro-similarity-asl/

Intro: DKPro Similarity is an open source software package for developing text similarity algorithms. The framework is designed to complement DKPro Core, a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. By leveraging the power of the tools available in DKPro Core, it allows for a rich set of similarity computation operations, including the design of full-fledged language processing pipelines and fully customizable processing steps.