As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

According to a 2023 survey, ** percent of internet users in urban India preferred using the internet in English. Meanwhile, ** percent of users accessed the internet in Indian languages, with Hindi being the most preferred language among them. Over *** million internet users reside in the urban areas of India.

Reliable and updated indicators of the presence of languages in the Internet are required to drive efficiently policies for languages, to forecast e-commerce market or to support further researches on the field of digital support of languages. This article presents a complete description of the methodological elements involved in the production of an unprecedented set of indicators of the presence in the Internet of the 329 languages with more than 1 million L1 speakers. A special emphasis is given to the treatment of the comprehensive set of biases involved in the process, either from the method or the various sources used in the modeling process. The biases related to other sources providing similar data are also discussed, and in particular, it is shown how the lack of consideration of the high level of multilingualism of the Web leads to a huge overestimation of the presence of English. The detailed list of sources is presented in the various annexes. For the first time in the history of the Internet, the production of indicators about virtual presence of a large set of languages could allow progress in the fields of economy of languages, cyber-geography of languages and language policies for multilingualism.

The statistic shows distribution of programming languages used by Internet of Things developers, according to a survey conducted in 2016. At that time, 31.5 percent of respondents indicated that they were using Node.js when developing Internet of Things solutions.

Canadian Internet use survey, Internet use, by language used to search for information, for Canada in 2005. (Terminated)

This statistic displays the number of Indian and English language internet users across India from 2011 to 2021. In 2016, the number of English internet users amounted to about *** million and was projected to increase to *** million in 2021. For Indian language users, this number was about *** million users in 2016, and was projected to reach *** million in 2021.

According to the source, 9,154 language errors were published each day on the internet in Poland in 2023. Over 38 percent of mistakes were found on Facebook, 20.21 percent on Twitter.

This Dataset, in 29 files of xlsx format, contains the data of all metrics and accumulated information as they are described in the methodology, results and discussion section of the research article "Exploring the Dominance of the English Language on the Websites of EU Countries".

Dataset

This dataset was created by ma7555

Released under GPL 2

Contents

Dataset

This dataset was created by Mohammad Shahebaz

Contents

It contains the following files:

Context:

How frequently a word occurs in a language is an important piece of information for natural language processing and linguists. In natural language processing, very frequent words tend to be less informative than less frequent one and are often removed during preprocessing. Human language users are also sensitive to word frequency. How often a word is used affects language processing in humans. For example, very frequent words are read and understood more quickly and can be understood more easily in background noise.

Content:

This dataset contains the counts of the 333,333 most commonly-used single words on the English language web, as derived from the Google Web Trillion Word Corpus.

Acknowledgements:

Data files were derived from the Google Web Trillion Word Corpus (as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium) by Peter Norvig. You can find more information on these files and the code used to generate them here.

The code used to generate this dataset is distributed under the MIT License.

Inspiration:

• Can you tag the part of speech of these words? Which parts of speech are most frequent? Is this similar to other languages, like Japanese?
• What differences are there between the very frequent words in this dataset, and the the frequent words in other corpora, such as the Brown Corpus or the TIMIT corpus? What might these differences tell us about how language is used?

This dataset is about book subjects. It has 3 rows and is filtered where the books is Language and the Internet. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset tracks annual reading and language arts proficiency from 2010 to 2022 for Internet Academy vs. Washington and Federal Way School District

The statistical operation Survey on the Information Society-ESI- Companies, provides regular information on the implementation of New Information and Communication Technology -ICT- in the companies of the Basque Country. Specifically, it records and describes the level of use of the Internet in the different establishments: the systems of Internet access, activities carried out via the Internet, as well as the availability of the website and its main characteristics. It also measures the implementation of E-commerce purchases and sales in economic activity and the means used to carry it out.

The statistical operation Survey on the Information Society-ESI-Families, provides regular information on the implementation of New Information and Communication Technology -ICT- among the population of the Basque Country. Specifically, it records and describes ICT equipment of the population both in the home and the place of study or in the workplace and measures the level of use made of it, especially as related to the Internet. It lets us compare the level of implementation of these ICT technologies In Basque society in relation to other surrounding communities.

This dataset tracks annual reading and language arts proficiency from 2016 to 2022 for Internet Pasco Academy Of Learning vs. Washington and Pasco School District

This Flash Eurobarometer studied how Europeans use different languages online. While 90% of European internet users prefer to surf the internet in their own language, 55% at least occasionally use a language other than their own when online according to a pan-EU Eurobarometer survey released today. However, 44% feel they are missing interesting information because web pages are not in a language that they understand.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

Digital Language Learning Market Outlook

The global digital language learning market size was valued at approximately USD 12 billion in 2023 and is expected to reach around USD 25 billion by 2032, growing at a CAGR of 8.5% during the forecast period. The growth of this market is driven by factors such as increasing globalization, the rise of online education, and technological advancements that make language learning more accessible and engaging.

One of the primary growth factors of the digital language learning market is the increasing prevalence of globalization and the demand for multilingual communication skills. In an interconnected world, the ability to communicate in multiple languages has become a critical skill for both personal and professional development. Businesses are expanding their operations across borders, which necessitates employees to be proficient in multiple languages. Consequently, both individuals and organizations are investing heavily in digital language learning solutions to bridge language barriers and enhance communication efficiency.

Technological advancements have also played a significant role in propelling the growth of the digital language learning market. The advent of artificial intelligence, machine learning, and natural language processing has revolutionized the way languages are taught and learned. These technologies enable personalized learning experiences, adaptive learning paths, and real-time feedback, which significantly enhance the effectiveness of language acquisition. Moreover, the proliferation of smartphones and high-speed internet has made digital language learning solutions more accessible to a broader audience, further fueling market growth.

The rise of online education and e-learning platforms has provided a significant boost to the digital language learning market. With the growing acceptance of online education as a viable alternative to traditional classroom-based learning, more individuals are turning to digital platforms for their language learning needs. These platforms offer flexibility, convenience, and a wide range of resources that cater to different learning styles and preferences. Additionally, the COVID-19 pandemic has accelerated the adoption of online education, as lockdowns and social distancing measures have forced educational institutions and learners to transition to digital modes of learning.

The emergence of Online Language Training has further revolutionized the digital language learning landscape. With the flexibility and accessibility that online platforms provide, learners can access a plethora of resources tailored to their individual needs and learning styles. These platforms often incorporate multimedia elements, such as videos, interactive quizzes, and virtual classrooms, to create an engaging and immersive learning environment. The ability to learn at one's own pace and schedule has made online language training particularly appealing to busy professionals and students alike, who can now integrate language learning seamlessly into their daily routines. Additionally, the global reach of online platforms allows learners to connect with native speakers and cultural experts, enhancing their language proficiency and cultural understanding.

Regionally, the Asia Pacific region is expected to witness substantial growth in the digital language learning market. This can be attributed to the increasing focus on English language learning in countries like China, Japan, and India, where English proficiency is seen as a key driver of academic and professional success. Additionally, government initiatives to promote digital education and the presence of a large population of young learners are further contributing to the market growth in this region. North America and Europe are also significant markets, driven by the high adoption of technology in education and the presence of a large number of immigrants seeking language learning solutions.

Product Type Analysis

The digital language learning market is segmented by product type into on-premises and cloud-based solutions. On-premises solutions involve the installation of software on local servers or personal computers, offering greater control over data and customization options. These solutions are often preferred by large organizations and academic institutions that require extensive language learning programs and have the necessary IT infrastructure to support them. However, the high initial costs and maintenance req

Content

Sign language images taken by 7 different users, a total of 1687 images.

Acknowledgements

Data set belong to Yoav Ram as part of IDC Scientific computation in Python course

According to a 2023 survey, the leading activity carried out on the internet by users in Indian languages was watching videos as reported by ** percent of the respondents. Listening to music was the second most popular activity within this demographic. Over *** million internet users reside in the urban areas of India.