EMM NewsExplorer

EMM NewsExplorer: http://emm.newsexplorer.eu/NewsExplorer/home/en/latest.html

More: http://emm.newsbrief.eu/overview.html

That's great. I intended to develop such a similar thing for Vietnamese. Now I got one to follow.

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Cheers,
Vu

The interactive Grammar of English (iGE)

Excellent app for iPhone, iPad, iPod Touch. A must-buy app.

Apple link.

Bilingual Sentence Aligner

Tool by Microsoft

A New Unsupervised Approach to Word Segmentation

See article link.

Automated Grammatical Error Detection for Language Learners

See this online link.
See the review from Computational Linguistics Journal.

TER-Plus (TERp)

TERp: http://www.umiacs.umd.edu/~snover/terp/

Intro
TERp is an automatic evaluation metric for Machine Translation, which takes as input a set of reference translations, and a set of machine translation output for that same data. It aligns the MT output to the reference translations, and measures the number of 'edits' needed to transform the MT output into the reference translation. TERp is an extension of TER (Translation Edit Rate) that utilizes phrasal substitutions (using automatically generated paraphrases), stemming, synonyms, relaxed shifting constraints and other improvements.

Open Source Machine Translation System Combination

MANY: http://www-lium.univ-lemans.fr/~barrault/MANY/

Intro

MANY is an MT system combination software which architecture is described is the following picture :

The combination can be decomposed into three steps

• 1-best hypotheses from all M systems are aligned in order to build M confusion networks (one for each system considered as backbone).
• All CNs are connected into a single lattice. The first nodes of each CN are connected to a unique first node with probabilities equal to the priors probabilities assigned to the corresponding backbone. The final nodes are connected to a single final node with arc probability of one.
• A token pass decoder is used along with a language model to decode the resulting lattice and the best hypothesis is generated.
  

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Cheers,
Vu