Antconc - widely used corpus access software ('concordancer')
Voyant - online tool for basic text and corpus analysis
Corpus Linguistics with R (LADAL, U Queensland)
Interactive introduction to corpus basics KorPlus (U Bamberg)
Textmining with R (online textbook)
Corpus Resource Database (CoRD)
LEONIDE (Longitudinal lEarner cOrpus iN Italiano, Deutsch, English; Reference article): Third Language Acquisition (mainly L1 German, L2 Italian, L3 English; L1 Italian, L2 German, L3 English; 2500 texts from 163 learners at school level
International Corpus of Learner English (ICLE): Essays written by university students of English with various L1s
Louvain International Database of Spoken English Interlanguage (LINDSEI): Interviews with university students of English with various L1s
The International Corpus Network of Asian Learners of English (ICNALE): (4,000+ dialogues, monologues and essays from university students - ten countries/ regions in Asia (China, Hong Kong, Indonesia, Japan, Korea, Pakistan, the Philippines, Singapore/ Malaysia, Taiwan, and Thailand) as well as English native speakers)
Open Cambridge Learner Corpus (2.9 million words of over 10,000 student responses taken from the Cambridge English Language Assessment suite of exams , 7 different L1s)
EFCAMDAT (33 million words from 85,000 learners; no L1 information, but nationality; 37% Brazil, 19% China, 9% Russia, as well as Mexico, Germany, France, Italy, Saudi Arabia, Taiwan, Japan, as well as ~160 other nationalities below 2%; various levels of proficiency as well as some longitudinal data)
DESI (Deutsch Englisch Schülerleistungen International, 2003/4). Data from > 10,000 German 9th graders and classroom observation data (downloadable, but not necessarily in an easibly usable corpus format)
Mehrsprachigkeitsentwicklung im Zeitverlauf (MEZ). Data from 2,103 school students in Germany; text production in German, English and heritage languages, as well as extensive background data
Hamburger Schulleistungsstudie zu Kompetenzen und Einstellungen von Schülerinnen und Schülern - Jahrgangsstufe 4-7 (KESS 4-7), Jahrgangsstufe 8 (KESS 8), Jahrgangsstufe 10-13 (KESS 10-13), Aspekte der Lernausgangslage und der Lernentwicklung (LAU) - data on performance in several subjects, incl. English, and a large number of background variables, for several thousand school students [not a learner corpus, but relevant for the analysis of learner language/SLA]
British National Corpus 2014 (metadata for speakers and texts can be downloaded)
[Hint: In order to download speaker codes, proceed as follows: Go to restricted query, in the top left corner click "choose action" and select "tabulate". In the drop down menu under "attribute" choose "u_who (Speaker)" and download.]
Freiburg Corpus of English Dialects (FRED) (2.5 million words of 372 speakers; Sampler is publicly available)
Friends Corpus (all dialogues of the US TV series 'Friends')
Cornell Movie Dialogues Corpus (10,292 pairs of movie characters in 617 movies, with gender but without age)
CANDOR corpus (1650 conversations that strangers had over video chat with rich metadata information, including age, sex, political orientation, employment, education)
CaSiNo ('CampSite Negotiations') Corpus (1030 negotiation dialogues involving 846 speakers, with information on age, gender, ethnicity, education, big five personality traits and social values orientation)
US Supreme Court Oral Arguments Corpus (1.7 million utterances from 7,700 cases, 1955 - 2019, with speaker IDs linked to database that probably enables retrieval of age and gender information)
Persuasion for Good Corpus (1285 speakers with information on age, sex, gender, education, big five personality traits, moral foundations and others)
Billboard Top 100 Song Lyrics (1973–2023) (20,186 English-language songs appearing in the weekly US Billboard Hot 100; full lyrics, chart information and analysis files; particularly useful for diachronic studies of popular music)
4MuLA (96,458 songs in English, Portuguese and Spanish; full lyrics plus artist, genre, popularity, related-song and audio-feature metadata; smaller subsets are also available)
Music Dataset: Lyrics and Metadata from 1950 to 2019 (28,372 songs with full lyrics, release year, genre and numerous musical and semantic variables; downloadable as CSV)
Song Interpretation Dataset (27,834 English-language songs with lyrics, music metadata and approximately 490,000 user-written interpretations of the lyrics; particularly useful for research on meaning, themes and figurative language)
English Song Lyrics Dataset (12,000 English-language song lyrics by 120 artists, derived from the WASABI corpus; full-text CSV with genre information)
MUSDB18 Lyrics Extension (annotated lyrics transcripts for 141 English-language songs from the MUSDB18 music corpus; useful for work connecting lyrics with sung audio)
LyricFind Corpus (275,905 song lyrics / 67.6 million word tokens in bag-of-words format, with song, artist and album metadata; useful for lexical but not syntactic analysis)
musiXmatch Dataset / Million Song Dataset (237,000+ songs in bag-of-words format using a 5,000-word vocabulary; can be linked to Million Song Dataset metadata)
WASABI Song Corpus (metadata and automatically derived lyric analyses for 1.73 million songs; full lyrics are not publicly available because of copyright restrictions)
DALI (thousands of multilingual songs with lyrics aligned to audio at multiple levels; downloadable for non-commercial research)
Songkorpus (15,000+ German-language pop songs; searchable online with POS, lemma and named-entity annotations; downloadable frequency and n-gram data)
ORIN Lyrics Dataset (862 Nigerian songs in Yoruba, English, Nigerian Pidgin and multilingual combinations; full lyrics and rich metadata in Excel format)
Habibi (30,000+ Arabic song lyrics from 18 countries and six dialect groups; downloadable in CSV, TXT, JSON and XML formats)
Tarab (large corpus of Arabic song lyrics and poetry; 2.56 million verses and 13.5 million tokens across multiple Arabic varieties, with geographical and historical metadata)
Jam-ALT (79 songs in English, French, German and Spanish with carefully revised full lyrics, audio and line-level timing information)
Korean-English Lyric Translation Dataset (1,000 songs, approximately 89% K-pop, with Korean and English lyrics manually aligned line-by-line and section-by-section)
ArzEn-MultiGenre (parallel Egyptian Arabic-English corpus including 3,066 manually translated and aligned song-lyric segments; also contains novels and subtitles)
LyricSIM (Spanish song lyrics with human annotations of semantic similarity; 2,775 annotated lyric-pair comparisons based on 75 songs)
Corpus of British Isles Spoken English (CoBISE; geolocated automatic speech recognition (ASR) YouTube transcripts from the United Kingdom and Ireland; 38,680 ASR transcripts from 497 YouTube channels; 111,563,614 tokens)
Corpus of North American Spoken English (CoNASE; 1.29-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada)
Corpus of Australian and New Zealand Spoken English (CoANZSE; 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts)
YouTube Corpus of Singapore English Podcasts (YCSEP; multi-million word corpus of Singapore podcasts)
Corpus of Singapore English Messages (CoSEM) (WhatsApp messages, includes information on age, gender and ethnicity)
Corpus of English Dialogues 1560–1760 (1.2 million words)
Yelp polarity reviews (560,000 highly polar yelp reviews)
Sentiment 140 (1.6 million tweets annotated for sentiment)
IMDB reviews (50k movie reviews)
Amazon US reviews (130 million reviews)
GoEmotions (58k tweets annotated for 27 emotions)
Wikipedia talk pages toxicity (more than 200,000 items)
CivilComments (2 million comments annotated for toxicity)
Bot Adversarial Dialogue Dataset (70k dialogues labelled for offensiveness)
Schema-Guided Dialogue (over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant)
Bot Adversarial Dialogue Dataset (70k dialogues labelled for offensiveness)
Para Crawl (web-scale parallel corpora for official European languages, 2018)
Reddit Corpus (all subreddits from inception to Oct. 2018)
Wikipedia (entire Wikipedia, split by languages)
Wikipedia 40b (cleaned-up text for 40+ Wikipedia languages editions)
CommonCrawl cleaned (cleaned version of the massive Common Crawl corpus comprising large amounts of material from the internet for multiple languages)
Common Voice (multi-language dataset of voices, around 100k voices)
(largely based on a list by Sviatlana Höhn)
LOCO - the 88-million word language of conspiracy corpus (corpus; paper)
PushShift Telegram (dataset by Baumgartner et al. (2020), compiled from 27.800 mostly English channels and 2.2 M unique users)
Capitol riot (corpus of all messages from a Telegram channel supporting Donald Trump from end of 2016 till January 2021)
4chan - Raiders of the Lost Kek (corpus of 3.5 years of 4chan posts from the Politically Incorrect Board)
Shouting into the Void - A Database of the Alternative Social Media Platform Gab (37,012,061 posts and 819,957 user profiles collected from Gab between 08/2016 and 12/2018)
An Early Look at the Parler Online Social Network (183M posts made by 4M users between August 2018 and January 2021 on Parler)
Corpus of Political Speeches (HKBU; ~ 6 million words from the US, Hong Kong, Taiwan, PRC)
German Political Speeches Corpus (1984 - 2017; 13 million words)
Small Corpus of Political Speeches (1545–2010; 2 million words, mainly US and UK)
US presidential speeches (all presidents; not a real corpus, speeches available for download)
Corpora of Parliamentary Proceedings
Corpus of Bundestag debates (German federal parliament)
Distant Reading/European Literary Text Collection (corpus of European novels from 1820 - 1940; 100+ novels for more than 10 languages)
SAMSum (16k chat dialogues with summaries)
Opinion abstracts (Rotten tomatoes film review summaries and data from IDebate; around 5000 items)
Wordnet (large lexical database of English; nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept)
Universal Dependencies (framework for consistent annotation of grammar (parts of speech, morphological features, and syntactic dependencies) across different human languages, over 100 languages)
BLiMP (challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English; BLiMP consists of 67 sub-datasets, each containing 1000 minimal pairs isolating specific contrasts in syntax, morphology, or semantics)
Corpus of German Speech (CoGS; 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts)