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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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4 relations
Armenian alphabetMachine translationNatural language processingOutline of natural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Robust parfda Statistical Machine Translation Results
We build parallel feature decay algorithms (parfda) Moses statistical machine translation (SMT) models for language pairs in the… 
2017
2017
Reference ResToRinG CaPitaLiZaTion in # TweeTs NEBHI ,
  • 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
TOWARDS TRANSLATION OF EDUCATIONAL RESOURCES USING GIZA++
E-learning courses are becoming progressively popular. Thanks to the Internet and new technologies, education has never been more… 
2015
2015
CAPITALIZATION AND PUNCTUATION RESTORATION FOR ROMANIAN LANGUAGE
The text generated by an Automatic Speech Recognition system is usually characterized by low reading intelligibility… 
2011
2011
Hierarchical Phrase-Based MT at the Charles University for the WMT 2011 Shared Task
We describe our experiments with hierarchical phrase-based machine translation for the WMT 2011 Shared Task. We trained a system… 
2011
2011
Using Apertium linguistic data for tokenization to improve Moses SMT performance
This paper describes a new method to tokenize texts, both to train a Moses SMT system and to be used during the translation… 
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