Truecasing
Related Papers
tRuEcasIng
Truecasing is the process of restoring case information to badly-cased or non- cased text. This paper explores truecas- ing issues and proposes a statistical, lan- guage modeling based truecaser which …...
Edinburgh’s Submission to all Tracks of the WMT 2009 Shared Task with Reordering and Speed Improvements to Moses
Edinburgh University participated in the WMT 2009 shared task using the Moses phrase-based statistical machine transla- tion decoder, building systems for all lan- guage pairs. The system configuration was identical …...
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study
In this paper, we investigate case restoration for text without case information. Previous such work operates at the word level. We pro- pose an approach using character-level recur- rent neural …...
ner and pos when nothing is capitalized
AbstractFor those languages which use it, capitalization is an important signal for the fundamental NLP tasks of Named Entity Recognition (NER) and Part of Speech (POS) tagging. In fact, it …...
To Case or not to case: Evaluating Casing Methods for Neural Machine Translation
AbstractWe present a comparative evaluation of casing methods for Neural Machine Translation, to help establish an optimal pre- and post-processing methodology. We trained and compared system variants on data prepared …...