Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies.
Zhifei LiChris Callison-BurchChris DyerJuri GanitkevitchAnn IrvineSanjeev KhudanpurLane SchwartzWren N. G. ThorntonZiyuan WangJonathan WeeseOmar ZaidanPublished in: WMT@ACL (2010)
Keyphrases
- machine translation
- discriminative training
- natural language
- word order
- natural language processing
- target language
- syntactic analysis
- natural language generation
- language processing
- hidden markov models
- context free grammars
- probabilistic interpretation
- maximum likelihood
- word sense disambiguation
- pos tagging
- information extraction
- finite state transducers
- statistical machine translation
- posterior probability
- automatic speech recognition
- cross lingual
- support vector machine
- word alignment
- cross language information retrieval
- co training
- language independent
- machine translation system
- semantic analysis
- knowledge representation
- question answering
- grammar induction
- machine learning
- speech recognition
- knowledge base
- speech signal
- source language
- dependency parsing
- query translation
- part of speech
- context sensitive
- statistical models
- wordnet
- text mining
- artificial intelligence