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Google Ngram Viewer
Known as:
Ngram Viewer
, Google Ngram
, Google N-grams
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The Google Ngram Viewer or Google Books Ngram Viewer is an online search engine that charts frequencies of any set of comma-delimited search strings…
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Extracting useful information from the Google Ngram dataset: A general method to take the growth of the scientific literature into account
2016
Corpus ID: 51771630
2016
2016
Simpler structure for more informative words: a longitudinal study
Uriel Cohen Priva
,
Emily Gleason
Annual Meeting of the Cognitive Science Society
2016
Corpus ID: 6976962
As new concepts and discoveries accumulate over time, the amount of information available to speakers increases as well. One…
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Review
2015
Review
2015
RUSSE: The First Workshop on Russian Semantic Similarity
Alexander Panchenko
,
Natalia V. Loukachevitch
,
Dmitry Ustalov
,
Denis Paperno
,
Christian M. Meyer
,
N. Konstantinova
arXiv.org
2015
Corpus ID: 3927862
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held in conjunction with the…
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2012
2012
Comparing Word Relatedness Measures Based on Google n-grams
Aminul Islam
,
E. Milios
,
Vlado Keselj
International Conference on Computational…
2012
Corpus ID: 12866606
Estimating word relatedness is essential in natural language processing (NLP), and in many other related areas. Corpus-based word…
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2012
2012
Detecting and Generating Ironic Comparisons: An Application of Creative Information Retrieval
T. Veale
AAAI Fall Symposium: Artificial Intelligence of…
2012
Corpus ID: 3905293
Ironic utterances promise an expected meaning that never arrives, and deliver instead a meaning that exposes the failure of our…
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2012
2012
Google Books Ngrams Recompressed and Searchable
S. Grabowski
,
J. Swacha
2012
Corpus ID: 62135254
Abstract One of the research fields significantly affected by the emergence of “big data” is computational linguistics. A…
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2012
2012
A Naive Bayes classifier for automatic correction of preposition and determiner errors in ESL text
G. Lynch
,
Erwan Moreau
,
Carl Vogel
BEA@NAACL-HLT
2012
Corpus ID: 3097452
This is the report for the CNGL ILT team entry to the HOO 2012 shared task. A Naive-Bayes-based classifier was used in the task…
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2011
2011
Exploiting Readymades in Linguistic Creativity: A System Demonstration of the Jigsaw Bard
T. Veale
,
Yanfen Hao
Annual Meeting of the Association for…
2011
Corpus ID: 3900410
Large lexical resources, such as corpora and databases of Web ngrams, are a rich source of pre-fabricated phrases that can be…
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2011
2011
Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation
S. Bergsma
,
David Yarowsky
,
Kenneth Ward Church
Annual Meeting of the Association for…
2011
Corpus ID: 11367327
Resolving coordination ambiguity is a classic hard problem. This paper looks at co-ordination disambiguation in complex noun…
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2009
2009
Real-word spelling correction using Google Web 1T n-gram with backoff
Aminul Islam
,
Diana Inkpen
International Conference on Natural Language…
2009
Corpus ID: 11398395
We present a method for correcting real-word spelling errors using the Google Web 1T n-gram data set and a normalized and…
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