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Truecasing

Truecasing is the problem in natural language processing (NLP) of determining the proper capitalization of words where such information is… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
The dearth of clean textual data often acts as a bottleneck in several natural language processing applications. The data… 
2018
2018
We build parallel feature decay algorithms (parfda) Moses statistical machine translation (SMT) models for language pairs in the… 
2017
2017
  • Kamel
  • 2017
  • Corpus ID: 73560594
The rapid proliferation of microblogs such as Twitter has resulted in a vast quantity of written text becoming available that… 
2016
2016
E-learning courses are becoming progressively popular. Thanks to the Internet and new technologies, education has never been more… 
2015
2015
The text generated by an Automatic Speech Recognition system is usually characterized by low reading intelligibility… 
2014
2014
This paper presents NTT-NAIST SMT systems for English-German and German-English MT tasks of the IWSLT 2014 evaluation campaign… 
2014
2014
Essential information relevant to medical problems, tests, and treatments is often expressed in patient clinical records with… 
2013
2013
In this paper we describe an extension of the MoKi tool able to support the management of multilingual ontologies. The… 
2011
2011
We describe our experiments with hierarchical phrase-based machine translation for the WMT 2011 Shared Task. We trained a system… 
2011
2011
This paper describes a new method to tokenize texts, both to train a Moses SMT system and to be used during the translation…