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N-gram

Known as: Skip-gram, Ngram, Unigram 
In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech… Expand
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Related topics

Related topics

48 relations
Additive smoothingApproximate string matchingBayesian programmingCache language model
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Broader (3)

Computational linguisticsNatural language processingSpeech recognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2006
Highly Cited
2006
N-gram-based Machine Translation
This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear… Expand
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Highly Cited
2005
Highly Cited
2005
Fileprints: identifying file types by n-gram analysis
We propose a method to analyze files to categorize their type using efficient 1-gram analysis of their binary contents. Our aim… Expand
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Highly Cited
2004
Highly Cited
2004
Character N-Gram Tokenization for European Language Text Retrieval
The Cross-Language Evaluation Forum has encouraged research in text retrieval methods for numerous European languages and has… Expand
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Highly Cited
2003
Highly Cited
2003
Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process… Expand
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Highly Cited
2003
Highly Cited
2003
Latent Dirichlet Allocation
We propose a generative model for text and other collections of discrete data that generalizes or improves on several previous… Expand
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Highly Cited
2003
Highly Cited
2003
N-GRAM-BASED AUTHOR PROFILES FOR AUTHORSHIP ATTRIBUTION
We present a novel method for computer-assisted authorship attribution based on characterlevel n-gram author proles, which is… Expand
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Highly Cited
2002
Highly Cited
2002
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
Evaluation is recognized as an extremely helpful forcing function in Human Language Technology R&D. Unfortunately, evaluation has… Expand
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Highly Cited
1994
Highly Cited
1994
N-gram-based text categorization
Text categorization is a fundamental task in document processing, allowing the automated handling of enormous streams of… Expand
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Highly Cited
1992
Highly Cited
1992
Class-Based n-gram Models of Natural Language
We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models… Expand
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Highly Cited
1967
Highly Cited
1967
The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
The use of the fast Fourier transform in power spectrum analysis is described. Principal advantages of this method are a… Expand
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