Search Results for "computer based training"

SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files. SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic...

The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g.,...

This is a tutorial, the purpose is to introduce the basic knowledge and modeling methods of machine translation systematically, and on this basis, discuss some cutting-edge technologies of machine translation (formerly known as "Machine Translation: Statistical Modeling and Deep Learning") method"). Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as...

Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. ...

Fresh Memory is an application that helps to learn large amounts of any material with Spaced Repetition method. The most important subject is learning foreign words, but Fresh Memory can be also used to learn anything else. The learning data is stored as flash cards and dictionaries. The flash cards may have several fields, and the user controls what combination of fields to learn. The flashcards can have formatted text and images.

Lexhoard is a dictionary tool for storing words in different languages with the ability to link entries (or 'translate') from one language to others. This php version is a very simple implementation created over a weekend. It can use either a mysql or a sqlite database (other databases may be used, in theory, as all db access is done with PDO).

This is a software of Arabic diacritical marks restoration. It is based mainly on deep architectures using deep neural network. The algorithm generates diacritized text with determined end case. The algorithm is described in detail in: Ilyes Rebai, and Yassine BenAyed 'Text-to-speech synthesis system with Arabic diacritic recognition system', Computer Speech & Language, 2015. We appreciate it very much if you can cite our related work. ************** Installation *************** - Extract the archive "ArabicDiacritizer Setup.rar"...

Java application for training and deploying text processing applications such as part-of-speech taggers, based on a re-implementation of Brill's algorithm in Java.

Distributed phrase-based machine translation training tool based on Hadoop.

A linguistic tool to aid in the study of Linguistics/Phonology, specifically distinctive features of possible language sounds. Comprised of both a Visual C++ .NET version as well as a Java based web applet version. The C++ version has all but been ab

A portable, platform-independent, open source tool for converting different Kurdish scripts

A unique natural-language processing software, called Discovery, created on the CA Visual Objects/Vulcan.NET environment, which also has potential for effective "shallow approach" machine translation.