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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...

Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group...

Smulsa 2001 is a multilanguage two-way translator, transliterator, and dictionary. Its dependencies are gambas2-ide & gambas2-gb-db-sqlite. The application needs its database to run properly. Smulsa 2001 adalah penerjemah, pengalih aksara, dan kamus dua arah multibahasa. Dependensinya gambas2-ide & gambas2-gb-db-sqlite. Aplikasi ini memerlukan basisdatanya untuk berjalan dengan baik.

Sprachraumkonverter als Fortsetzung von V3C, Plan C

Pes is an simple programing language. It has just few basic constructions and it has c-like & pascal-like syntax. The compiler output is Jasmin - an assembler for java virtual machine. It was my school project.

Want to count the number of syllables in a word? Want to create a random haiku? This Java application can do both. Just add the JAR file to your project for access to these basic classes. We use CMU's pronunciation dictionary to count each syllable.