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Human Activity Analysis and Prediction Using Google n-Grams

İlknur Dönmez, the Computer Engineering Department, İstanbul Bilgi University in İstanbul, Turkey
2018 International Journal of Future Computer and Communication  
Google-n grams are generated from millions of books between 1500 to 2000 which can be an indicator for human specific feature and behavior.  ...  In this paper human specific main activities are analyzed and the human activities in near feature are predicted via Google n-grams and the functions which are generated via using n-grams.  ...  Because of google n-grams contain different language datasets; comparison of semantic similarity for different languages [7] is studied using google n-grams.  ... 
doi:10.18178/ijfcc.2018.7.2.516 fatcat:whsqrrfxtbbujd7xe2ax3pll2a

Exploring mega-corpora: Google Ngram Viewer and the Corpus of Historical American English

Ericson Friginal, Maesha Walker, Janet Beth Randall
2014 EuroAmerican Journal of Applied Linguistics and Languages  
EN The creation of internet-based mega-corpora such as the Corpus of Contemporary American English (COCA), the Corpus of Historical American English (COHA) (Davies, 2011a) and the Google Ngram Viewer (  ...  Once the n-grams are saved as raw data in Excel files, the n--grams can then be searched using the online viewer.  ...  --The viewer is composed of n--grams, from 1--gram to 5--grams. N--grams represent how many words are in a lexical bundle: 1--gram = 1 word, while 5--grams = 5 words (Bohannon, 2011) .  ... 
doi:10.21283/2376905x.1.4 fatcat:7immdiacibao7ghyu7d3rld5ye

Social evidence of a changing climate: Google Ngram data points to early climate change impact on human society

Will J. Grant, Erin Walsh
2015 Weather  
Figure 1 : 1 Annual relative frequency of use of the n-gram 'earthquake' in English language books 1800-2000.  ...  GLS models adjusted for autocorrelation. * indicates significance at α=0.05. ☼ indicates a comparatively closer relationship between n-gram and temperature than between Paleo Index and temperature.  ... 
doi:10.1002/wea.2504 fatcat:gruhdhr625gdblag4ljpu52ire

Page 719 of Linguistics and Language Behavior Abstracts: LLBA Vol. 29, Issue 2 [page]

1995 Linguistics and Language Behavior Abstracts: LLBA  
Objective composite test scores & case profile information for children (N = 92) with developmental language impairment were rated by speech-language pathologists (N = 27) with an average of 13 years expe  ...  A survey of Swiss speech therapists (N = 30) indicates that users do not always make full use of the program.  ... 

Quantifying paradigm change in demography

Jakub Bijak, Daniel Courgeau, Eric Silverman, Robert Franck
2014 Demographic Research  
METHODS The presented analysis is descriptive and is based on a series of simple measures obtained from the free online tool Google Books Ngram Viewer, which includes frequencies of word groupings (n-grams  ...  The free Google Books Ngram Viewer tool ( analyses frequencies of words, and phrases of a given length of n words (called n-grams or ngrams) for n≤5, amongst all words or  ...  Even though the caveats about the disparity between numbers and frequencies remain in force, the ratio of the number of n-grams with "analysis" to the ones with "theory" is clearly increasing, as indicated  ... 
doi:10.4054/demres.2014.30.32 fatcat:xaycvb2uyrht7iz226a5c7fhl4

Online Film Subtitles As A Corpus: An Ngram-Based Approach

Natalia Levshina
2017 Zenodo  
A series of quantitative analyses based of n-gram frequencies demonstrate that subtitles are not fundamentally different from other registers of English and that they represent a close approximation of  ...  Namely, the language of subtitles is more emotional and dynamic, but less spontaneous, vague and narrative than that of normally occurring conversations.  ...  These questions will be answered with the help of an n-gram approach.  ... 
doi:10.5281/zenodo.582336 fatcat:zgrrly4n5ngxpcxeukuou4pnda

Mapping and Analysis of Standard Indonesian Pronunciation Errors by Using the Bigram Method

Emmy Erwina, Tommy Tommy, Mayasari Mayasari
Indonesian language is increasingly being ignored, even the mass media often find the use of non-standard language, so there is a uniformity in the use of words that often appear in scientific articles  ...  The uniformity of Indonesian pronunciation certainly confuses the general public, for example: television news viewers and radio listeners, to distinguish between standard and non-standard forms.  ...  N-Gram Language Model Conceptually, the n-gram model is an estimate of the probability of a word or character from a history of previous occurrences (Jurafsky & Martin, 2018) .  ... 
doi:10.47841/icorad.v1i1.16 fatcat:yoelksysgjgfnhjyhfimmmpci4

Culturomics on a Bengali Newspaper Corpus

Shanta Phani, Shibamouli Lahiri, Arindam Biswas
2012 2012 International Conference on Asian Language Processing  
To the best of our knowledge, this is the first time a culturomic trend analysis is being performed on an Indic language.  ...  We plan to implement a Bengali n-gram viewer in the same spirit as Google n-gram viewer. To accomplish this idea, we need a comprehensive database of all Bengali n-grams used in the 132 months.  ...  CONCLUSION In this paper we introduced, for the first time, a culturomic study on an Indic language (Bengali).  ... 
doi:10.1109/ialp.2012.68 dblp:conf/ialp/PhaniLB12 fatcat:pj47peuhyfcghmmdjbbpn7kq2i

Google Books Ngram Viewer in Socio-Cultural Research

Anna Zięba
2018 Research in Language  
The objective of this paper is to verify if Google Books Ngram Viewer, a new tool working on a database of 361 billion words in English, and enabling quick recovery of data on word frequency in a diachronic  ...  Michel et al. (2010) define the 1-gram as "a string of characters uninterrupted by a space" and an n-gram as "a sequence of 1-grams, such as the phrases 'stock market' (a 2gram) and 'the United States  ...  The study was limited to the analysis of frequency of a given 1-gram, which might be understood as a single lexical unit, or an n-gram (a series of lexical units) over time, but occurring at least 40 times  ... 
doi:10.2478/rela-2018-0015 fatcat:e7mcarowbnc2pispabo6sy27xq

Evolution of the most common English words and phrases over the centuries

M. Perc
2012 Journal of the Royal Society Interface  
Along with the steady growth of the English lexicon, this provides an empirical explanation for the ubiquity of the Zipf's law in language statistics and confirms that writing, although undoubtedly an  ...  An n-gram is made up of a series of n 1-grams, and a 1-gram is a string of characters uninterrupted by a space.  ...  Tables listing the top 100, top 1000 and top 10.000 n-grams for all available years since 1520 inclusive, along with their yearly usage frequencies and direct links to the Google Books Ngram Viewer, are  ... 
doi:10.1098/rsif.2012.0491 pmid:22832364 pmcid:PMC3481586 fatcat:lovxccsmfvczrg3an6qljfm634

Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter [article]

Thayer Alshaabi, Jane L. Adams, Michael V. Arnold, Joshua R. Minot, David R. Dewhurst, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
2021 arXiv   pre-print
We make the data set available through an interactive time series viewer, and as downloadable time series and daily distributions.  ...  Here, we describe Storywrangler, a natural language processing instrument designed to carry out an ongoing, day-scale curation of over 100 billion tweets containing roughly 1 trillion 1-grams from 2008  ...  Notation and Measures We write an n-gram by τ and a day's lexicon for language -the set of distinct n-grams found in all tweets (AT) for a given date t-by D t, ;n .  ... 
arXiv:2007.12988v4 fatcat:n3yir6h73zdvnky5l7bbdsqphe

In Tandem or Out of Sync? Academic Economics Research and Public Policy Measures

Lea-Rachel D. Kosnik
2014 Social Science Research Network  
In addition, frequency analyses of these same terms are gathered from other English language based text sources (in particular, Google's Ngram Viewer) to determine if discussion of them in the wider public  ...  In this instance as well, academic attention to certain policy related terms mirrors quite strongly attention to those terms in the wider English-language literature. 11 Lagging the Ngram Viewer results  ... 
doi:10.2139/ssrn.2516978 fatcat:zt2mdznerzdcxnxs5d5j2pj6uq

Violence Rating Prediction from Movie Scripts

Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan
Violent content in movies can influence viewers' perception of the society.  ...  To date, we are the first to show the language used in movie scripts is a strong indicator of violent content. This offers novel computational tools to assist in creating awareness of storytelling.  ...  Our features can be divided into five categories: N-grams, Linguistic and Lexical, Sentiment, Abusive Language and Distributional Semantics.  ... 
doi:10.1609/aaai.v33i01.3301671 fatcat:5k3eccn5hbbgrgco3zmblkcvs4

Quantitative Analysis of Suffix Variability of Comparative Adjectives in Russian

Timur I. Galeev, Vladimir V. Bochkarev, Michael Wagner
2019 Symposium on Languages, Applications and Technologies  
The authors concluded that there is no previously anticipated influence of phonetic and morphological factors on the choice of the suffix of an adjective in a bookish speech.  ...  of 1-grams).  ...  An example of this case is shown in figure 2 . Like in the Google Books Ngram Viewer service, a moving average with a window +-3 years (the window length is 7 years) is used.  ... 
doi:10.4230/oasics.slate.2019.21 dblp:conf/slate/GaleevB19 fatcat:mp66fuspnfeipf2yzi4mussr6q

Gender inequality and female body language in children's literature

Anna Čermáková, Michaela Mahlberg
2020 Digital Scholarship in the Humanities  
With an exploratory case study of gendered body language in children's literature, we illustrate the relationship between quantitative and qualitative analysis.  ...  The case study is focused on female body language descriptions and how the presentation of body language has changed over time.  ...  Her hands on her hips in the Google N-gram Viewer. Fig. 2 . 2 Fig. 2. Female BP s network in ChiLit (19th century).Fig. 3. Female BP s network in OCC (contemporary data).  ... 
doi:10.1093/llc/fqaa051 fatcat:ujxuwlsnffeaxikxgascmodpum
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