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… (More)
Wikipedia

Related topics

Related topics

48 relations
Additive smoothingApproximate string matchingBayesian programmingCache language model
(More)

Broader (3)

Computational linguisticsNatural language processingSpeech recognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Faster and Smaller N-Gram Language Models
N -gram language models are a major resource bottleneck in machine translation. In this paper, we present several language model… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Summarization system evaluation revisited: N-gram graphs
This article presents a novel automatic method (AutoSummENG) for the evaluation of summarization systems, based on comparing the… (More)
  • figure 1
  • figure 2
  • table I
  • table II
  • figure 3
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
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… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
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… (More)
  • figure 1
  • table 1
  • table 2
Is this relevant?
Highly Cited
2005
Highly Cited
2005
n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure
The n-gram inverted index has two major advantages: language-neutral and error-tolerant. Due to these advantages, it has been… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
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… (More)
  • figure 1
  • figure 2
  • table 2
  • table 3
  • figure 3
Is this relevant?
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… (More)
  • table 1
  • figure 1
  • figure 2
  • table 3
  • table 4
Is this relevant?
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… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
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… (More)
Is this relevant?