Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,003,237 papers from all fields of science
Search
Sign In
Create Free Account
Bigram
Known as:
Skipping bigrams
, Skipping bigram
, Bigram frequency attack
Expand
A bigram or digram is a sequence of two adjacent elements from a string of tokens, which are typically letters, syllables, or words. A bigram is an n…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
22 relations
Automatic summarization
Banburismus
Cipher Department of the High Command of the Wehrmacht
Collocation
Expand
Broader (1)
Natural language processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Abusive Language Detection on Arabic Social Media
Hamdy Mubarak
,
Kareem Darwish
,
Walid Magdy
ALW@ACL
2017
Corpus ID: 2819462
In this paper, we present our work on detecting abusive language on Arabic social media. We extract a list of obscene words and…
Expand
Highly Cited
2014
Highly Cited
2014
Quantifying the development of phraseological competence in L2 English writing: An automated approach
Yves Bestgen
,
S. Granger
2014
Corpus ID: 54638348
Highly Cited
2013
Highly Cited
2013
A Joint Model to Identify and Align Bilingual Named Entities
Yufeng Chen
,
Chengqing Zong
,
Keh-Yih Su
International Conference on Computational Logic
2013
Corpus ID: 260586137
In this article, an integrated model is derived that jointly identifies and aligns bilingual named entities (NEs) between Chinese…
Expand
Review
2012
Review
2012
Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews
Hanhoon Kang
,
S. Yoo
,
Dongil Han
Expert systems with applications
2012
Corpus ID: 207739659
Highly Cited
2008
Highly Cited
2008
Simple Semi-supervised Dependency Parsing
Terry Koo
,
X. Carreras
,
M. Collins
Annual Meeting of the Association for…
2008
Corpus ID: 1916754
We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical…
Expand
Highly Cited
2005
Highly Cited
2005
Reading Level Assessment Using Support Vector Machines and Statistical Language Models
S. Schwarm
,
Mari Ostendorf
Annual Meeting of the Association for…
2005
Corpus ID: 17337432
Reading proficiency is a fundamental component of language competency. However, finding topical texts at an appropriate reading…
Expand
Highly Cited
1994
Highly Cited
1994
Tree-based state tying for high accuracy acoustic modelling
S. Young
,
J. Odell
,
P. Woodland
1994
Corpus ID: 16667309
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model…
Expand
Highly Cited
1994
Highly Cited
1994
A Maximum Entropy Model for Prepositional Phrase Attachment
A. Ratnaparkhi
,
Jeffrey C. Reynar
,
S. Roukos
Human Language Technology - The Baltic Perspectiv
1994
Corpus ID: 129886
A parser for natural language must often choose between two or more equally grammatical parses for the same sentence. Often the…
Expand
Highly Cited
1993
Highly Cited
1993
Contextual Word Similarity and Estimation From Sparse Data
Ido Dagan
,
S. Marcus
,
Shaul Markovitch
Annual Meeting of the Association for…
1993
Corpus ID: 1154960
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence…
Expand
Highly Cited
1990
Highly Cited
1990
Applications of stochastic context-free grammars using the Inside-Outside algorithm
K. Lari
,
S. Young
1990
Corpus ID: 53736294
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE