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Noisy channel model

The noisy channel model is a framework used in spell checkers,question answering, speech recognition, and machine translation.In this model, the goal… 
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Broader (2)

Automatic identification and data captureComputational linguistics
Coding theoryLevenshtein distanceMachine translationNoisy-channel coding theorem

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Parallel Sentence Compression
Sentence compression is a way to perform text simplification and is usually handled in a monolingual setting. In this paper, we… 
2016
2016
Automatic Arabic Spelling Errors Detection and Correction Based on Confusion Matrix-Noisy Channel Hybrid System
Arabic spelling errors occur in different types of documents, such as handwritten by non experienced users, optical character… 
2011
2011
The CMU-ARK German-English Translation System
This paper describes the German-English translation system developed by the ARK research group at Carnegie Mellon University for… 
2009
2009
Priors in Web Search
The invention provides generally a method and system for selecting an element of a computer generated drawing model graphically… 
2007
2007
Unsupervised estimation for noisy-channel models
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much… 
2004
2004
Using Higher-level Linguistic Knowledge for Speech Recognition Error Correction in a Spoken Q/A Dialog
Speech interface is often required in many application environments such as telephonebased information retrieval, car navigation… 
2001
2001
New post processing method based on noisy channel model for Chinese character recognition
In Chinese document recognition incorporating post processing, the document recognition rate is limited if the candidate sets do… 
1998
1998
A Method for Correcting Errors in Speech Recognition using the Statistical Features of Character Co-occurrence
It is important to correct the errors in the results of speech recognition to increase the performance of a speech translation… 
Highly Cited
1990
Highly Cited
1990
Poor Estimates of Context are Worse than None
It is difficult to estimate the probability of a word's context because of sparse data problems. If appropriate care is taken, we… 
1984
1984
16 kbps APC with hybrid quantization
This paper presents the results of a two year effort to develop an adaptive predictive coder for transmission of high quality… 
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