Showing posts with label download. Show all posts
Showing posts with label download. Show all posts

Tuesday 30 October 2012

Download Advanced NLP Documents

In this post, you will be able to download advanced natural language processing slides and assignments that were used as the study material during the course conducted in Kathmandu University on 27th August - 21st September, 2012.

The course program comprised of two graduate level courses, which are itself divided up into two modules. The two courses are: 1) Advanced Linguistic Resources; 2) Advanced Applications for Natural Language Processing. The official website for the course was up for a while but seems to be down now so I decided to upload these documents for you guys.

Course 1: Advanced Resources for Natural Language Processing

Module A: Grammars and Treebanks for Syntactic Processing
(Stefanie Dipper, Univ. Bochum and Heike Zinsmeister, Univ. Stuttgart)

Syntactic preprocessing is becoming more and more important for NLP applications, such as Anaphora Resolution or Phrase-Based Statistical Machine Translation (see Course 2). This course aims at getting students acquainted with relevant state-of-the-art resources for syntactic processing, teaching them how to use and evaluate them, and enabling them to create such resources on their own. Course topics include: symbolic and statistical models for syntactic processing for NLP applications; Resources for syntactic analysis — grammars and their use in parsers; annotated corpora — constituency- and dependency-based treebanks; evaluation measures for inter-annotator agreement and system evaluation. The course will be a combination of lectures and hands-on practice in applying and developing tools for syntactic processing. The lectures are complemented by extensive hands-on exercises. Students will be encouraged to practice and create their own resources.

Module B: Word and Verb Nets for Semantic Processing
(Miriam Butt, Univ. Konstanz and Annette Hautli, Univ. Konstanz)

The course will provide an introduction to existing lexical resources for English such as WordNet, VerbNet and PropBank and why they have proven to be useful for NLE. A WordNet, VerbNet and PropBank for Hindi are currently being created as part of various projects in India, the USA and Germany and the course will use the preliminary versions of the Hindi resources to introduce students to the special structures found in South Asian languages and to discuss where different design decisions need to be made. The course will also show students why it is important to understand established linguistic categories with regard to lexical structure and lexical semantics and how that can help guide the classification and encoding of lexical information in lexical resources in a manner that will be useful to NLE.

Course 2: Advanced Applications for Natural Language Processing

Module A: Statistical Machine Translation
(Alex Fraser, Univ. Stuttgart)

The goal of the course is to have students acquire in depth knowledge of statistical machine translation methods and be familiar with the relevant iterature and an open source statistical machine translation system. The course will cover: Basic statistical modeling for machine translation; Automatic and manual evaluation of machine translation output; Bitext alignment of parallel sentence pairs; Basic phrase-based statistical machine translation models and decoding; Log-linear models and minimum error rate training; Discriminative word alignment; morphological and syntactic modeling.

Module B: Automatic Speech Recognition
(Sarmad Hussain, Univ. of Engineering and Technology)

The course will start by covering articulatory and acoustic phonetics, followed by some basis understanding of speech processing needed to separate the phonetic content from a speech signal. The course will then develop an understanding of the Baysian model for speech recognition and its implementation using Hidden Markov Models, covering both training and decoding algorithms. Finally the course will focus on practical aspects of designing, developing and labeling a speech corpus and using tool-kits to develop speech recognition models. The course will have two labs, first on acoustic phonetics and second on developing a prototype speech recognition system with limited vocabulary.

Download Course Material

Thanks to Rohit Man Amatya, one of the participants of Summer School. He has written installation scripts for debian based systems and provided a list of what needs to be installed for working on the whole course. Plus the solutions for programming assignments.

Summer School @ GitHub


Saturday 27 October 2012

Accelerate Your Softwares Update Speed Using Apt-fast

Long ago, I had posted about apt-fast script which used axel to create multiple HTTP connections and increase the download speed of software updates and packages. In this post, you will get the details for installing apt-fast from PPA. apt-fast is a shellscript wrapper for apt-get and aptitude that can drastically improve apt download times by downloading packages in parallel, with multiple connections per package.

As a pre-requisite, we will first install axel, a simple yet very useful command line download accelerator. Alternatively, you can also use aria accelerator with apt-fast.

samar@samar-Techgaun:~$ sudo apt-get install axel

Then you will have to add a PPA for apt-fast, update the database, and install apt-fast.

samar@samar-Techgaun:~$ sudo add-apt-repository ppa:apt-fast/stable
samar@samar-Techgaun:~$ sudo apt-get update
samar@samar-Techgaun:~$ sudo apt-get install apt-fast

You need to configure few options afterwards as below:

For manual installation and grabbing the source code, check the GitHub.

Once you install apt-fast, you can install softwares and perform updates from the repos using the command below:

samar@samar-Techgaun:~$ sudo apt-fast install package_name

I hope this becomes useful :)


Sunday 27 May 2012

Accelerate Download Speed In Linux Using Axel

Axel is a lightweight command line download accelerator for linux. Axel is a program that downloads a file from a FTP or HTTP server through multiple connection, each connection downloads its own part of the file.

Unlike most other programs, Axel downloads all the data directly to the destination file, using one single thread. It just saves some time at the end because the program doesn't have to concatenate all the downloaded parts.

Axel tries to accelerate downloads by using multiple connections (possibly to multiple servers) for one download. Because of its size, it might be very useful on bootdisks or other small systems as a wget replacement.

One useful implementation of axel is in the apt-fast tool, a fusion of apt-get and axel to accelerate downloads of packages.

Installation under ubuntu and other debian distros: Open the terminal and type:

sudo apt-get install axel

Similarly, a graphical frontend axel-kapt is also available for download for GUI lovers. Also, flashgot plugin for firefox lets you make use of axel to download files. I should say, axel is a small yet good download accelerator for linux systems.


Saturday 17 December 2011

Download Good List of Torrent Trackers

I have uploaded a text file containing many torrent tracker URLs. Number of seeders might increase if we have more torrent trackers for the torrent file we are downloading. This post will help you how to add those trackers; I had written that post specifically for utorrent however the process will be similar for other torrent clients.

Download Torrent Tracker List