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Bigram

Known as: Skipping bigrams, Skipping bigram, Bigram frequency attack 
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… 
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Related topics

Related topics

22 relations
Automatic summarizationBanburismusCipher Department of the High Command of the WehrmachtCollocation

Broader (1)

Natural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Content Importance Models for Scoring Writing From Sources
Selection of information from external sources is an important skill assessed in educational measurement. We address an… 
2013
2013
Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting
Abstract This paper addresses the task of automatic extraction of definitions by thoroughly exploring an approach that solely… 
2012
2012
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
Past work on learning part-of-speech taggers from tag dictionaries and raw data has reported good results, but the assumptions… 
2010
2010
Parsing Word Clusters
We present and discuss experiments in statistical parsing of French, where terminal forms used during training and parsing are… 
2009
2009
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the… 
2004
2004
Using Language Models for Text Classification
paper describes an approach to text classification using language models. This approach is a natural extension of the traditional… 
Review
1999
Review
1999
Development of a Digram-Based Typing Key Layout for Single-Finger/Stylus Input
Hand-held devices often include a keyboard on which a user types with one finger or a stylus. When a user types with one finger… 
1997
1997
Phrase Discovery for English and Cross-language Retrieval at TREC 6
In our TREC 6 experiments for the main tasks and tracks, Berkeley worked primarily on extending our probabilistic document… 
1997
1997
A New Formalization of Probabilistic GLR Parsing
This paper presents a new formalization of probabilistic GLR language modeling for statistical parsing. Our model inherits its… 
1996
1996
Text page recognition using Grey-level features and hidden Markov models
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