Year: 2012
Type: conference-paper
Abstract: We present Jane 2, an open source toolkit supporting both the phrase-based and the hierarchical phrase-based paradigm for statistical machine translation.It is implemented in C++ and provides efficient decoding algorithms and data structures.This work focuses on the description of its phrase-based functionality.In addition to the standard pipeline, including phrase extraction and parameter optimization, Jane 2 contains several state-of-the-art extensions and tools.Forced alignment phrase training can considerably reduce rule table size while learning the translation scores in a more principled manner.Word class language models can be used to integrate longer context with a reduced vocabulary size.Rule table interpolation is applicable for different tasks, e.g.domain adaptation.The decoder distinguishes between lexical and coverage pruning and applies reordering constraints for efficiency.
Source: RWTH Publications (RWTH Aachen)
Institution: RWTH Aachen University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2163255203