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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… 
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Related topics

Related topics

48 relations
Additive smoothingApproximate string matchingBayesian programmingCache language model

Broader (3)

Computational linguisticsNatural language processingSpeech recognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
The recent tremendous success of unsupervised word embeddings in a multitude of applications raises the obvious question if… 
Highly Cited
2015
Highly Cited
2015
chrF: character n-gram F-score for automatic MT evaluation
We propose the use of character n-gram F-score for automatic evaluation of machine translation output. Character ngrams have… 
Highly Cited
2006
Highly Cited
2006
From n-gram to skipgram to concgram
Uncovering the extent of word associations and how they are manifested has been an important area of study in corpus linguistics… 
Highly Cited
2005
Highly Cited
2005
N-Gram Similarity and Distance
In many applications, it is necessary to algorithmically quantify the similarity exhibited by two strings composed of symbols… 
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… 
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… 
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… 
Highly Cited
2001
Highly Cited
2001
Latent Dirichlet Allocation
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… 
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… 
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