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What are the most common French verbs?

Evidence-based answer · Last updated · How it’s made

The short answer

French frequency-list research doesn't give one single fixed "top 20 most common verbs" ranking you can trust as gospel, but it does confirm the general pattern seen across languages: a small set of very common, general-purpose verbs (like ĂȘtre/to be, avoir/to have, faire/to do-make, dire/to say, aller/to go, voir/to see, savoir/to know, pouvoir/to be able, vouloir/to want) account for a hugely disproportionate share of everyday spoken and written French, and mastering these pays off far more than learning rare verbs. Exactly which verbs top the list, and how far down you need to go, depends heavily on which corpus (subtitles, speech, academic writing, newspapers) and counting method was used to build the list.

Asked as someone learning French. Findings drawn from French-specific research are framed for French learners and may not hold for other languages; where the evidence is general second-language research, the report says so.

A small vocabulary core covers most French text

Frequency-based French word lists show that a relatively small number of the most common words already covers the great majority of everyday French. One frequency-dictionary source estimates the top 2,500 words account for about 92% of spoken French and 82% of written French, and separate academic work built a 3,000-word-family list reaching 96-98% coverage of varied French texts.1,2

In plain terms

"Coverage" here means the percentage of words in real texts or speech that are made up of just those most-common words -- so 92% coverage means that if you know the top 2,500 words, you'd recognize 92 out of every 100 words someone says.

Verbs behave differently from nouns in frequency lists

Studies of French vocabulary point out that verbs, being fewer in number but used far more repeatedly than nouns, cluster very heavily at the top of frequency lists -- a handful of general verbs recur constantly across almost any type of French text or speech.4,7

Subtitle corpora are a common and trusted source for French verb frequency

Because subtitles mix spoken-style and written French and are available in huge quantities, researchers have specifically used large subtitle corpora (one totaling 52 million French words) to build frequency measures that match well with other spoken and written frequency data -- making subtitle-based lists a reasonably solid basis for identifying the most common French verbs.1,7

Same core general verbs appear across genres, even across languages

An analysis comparing spoken and written scientific French and English found the same core general verbs -- voir, regarder (look), penser (think), montrer (show), trouver (find), dire (say), savoir (know), mettre (put), donner (give) -- turning up as the most frequent lexical verbs in both oral and written material, and these had direct English equivalents used just as frequently. This suggests these general, all-purpose verbs are not just a quirk of one word list but genuinely central to how French (and English) is used across very different contexts.6

No single agreed 'master list' of French verb frequency exists

French lacks the large, well-established reference corpora that English has (like COCA or the BNC), so French word-frequency and verb-frequency lists are fewer, smaller, and less standardized -- meaning any 'most common French verbs' list should be treated as an approximation tied to its specific source, not a definitive ranking.3,5

Knowing frequent words does not equal knowing them productively

Being able to recognize or passively understand a common word (including a verb) is not the same as being able to actively and correctly use it in speech or writing; research on lexical richness found that even as learners' French improved, they didn't necessarily start using rarer words -- instead they got better at deploying the same core frequent words more fluently.4

In plain terms

'Lexical richness' refers to how varied and sophisticated a speaker's vocabulary use is, not just how many words they technically know.

Frequency alone doesn't guarantee real comprehension

One study of French vocabulary needed to comfortably read three authentic French novels found learners needed 7,000-9,000 known word forms (lemmas) -- more than double the roughly 4,000-word list used in their university course -- to reach good reading comprehension, showing that a 'most common words' list, verbs included, is only a starting point rather than a full solution for reading real French.5

In plain terms

A 'lemma' is basically a word's dictionary form ('parler' standing in for parle, parlons, parlé, etc.).

What to do with this

Since no source hands over one definitive "top 100 French verbs" list, the practical takeaway is to prioritize learning a small set of high-frequency, general-purpose verbs first (ĂȘtre, avoir, faire, dire, aller, voir, savoir, pouvoir, vouloir, and similar all-purpose verbs), since these recur constantly across spoken and written French and give the most return for the least effort. Use a frequency dictionary or word list built from a large, mixed corpus (subtitles are a good practical choice since they blend spoken and written style) as your starting point for verb study, but don't stop there -- go beyond memorizing isolated verbs and practice using them in real sentences, since the research shows recognizing a common verb is very different from being able to use it correctly and fluently. Also treat any single frequency list as approximate rather than definitive, and once you've covered the most common few thousand words, be prepared to keep expanding your vocabulary substantially (into the thousands of words) if your goal is fluent reading or comprehension of authentic French materials, not just basic conversation.

Now pick something to do it with

Each of these opens an overview of the apps, courses and immersion material worth a look for that — filtered to exactly what the advice above points you at:

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Worth knowing

  • None of the provided sources publish a single, ready-made ranked list of "the top French verbs" -- they discuss frequency-list methodology, coverage statistics, and general vocabulary research rather than naming a specific ranked set of verbs beyond a handful of examples (ĂȘtre, avoir, faire, voir, dire, savoir, mettre, donner, penser, trouver, montrer, regarder) mentioned in passing in one comparative study.
  • Much of the underlying evidence about vocabulary learning, frequency, and coverage in this report comes from general second-language-acquisition research (including studies of English and other languages) rather than research specific to French verbs, so some conclusions are extended from that broader base rather than French-specific data.
  • Frequency rankings also vary noticeably depending on whether the source corpus is subtitles, spoken conversation, academic writing, or newspapers, so "most common" is corpus-dependent rather than a fixed fact.

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  1. [1]Mostusedwords. French Frequency Dictionary - Essential Vocabulary. Mostusedwords.com 2018. http://books.google.ie/books?id=UOfetwEACAAJ&dq=French+lemma+frequency+list+Lexique&hl=&source=gbs_api
  2. [2]Thomas Cobb, Christina Lindqvist, MÄrten RamnÀs. A nuclear families word list for French. The Modern Language Journal 2026. doi.org/10.1111/modl.70021
  3. [3]Christina Lindqvist. Élaboration d’une liste de vocabulaire dans un contexte FLE. Studia Romanica Posnaniensia 2023. doi.org/10.14746/strop.2022.494.004
  4. [4]Françoise Tidball, Jeanine Treffers‐Daller. Analysing lexical richness in French learner language: what frequency lists and teacher judgements can tell us about basic and advanced words. Journal of French Language Studies 2008. doi.org/10.1017/s0959269508003463
  5. [5]MĂ„rten RamnĂ€s. Étendue du vocabulaire et comprĂ©hension Ă©crite – le français Ă  l'universitĂ© en SuĂšde. Bergen Language and Linguistics Studies 2019. doi.org/10.15845/bells.v10i1.1430
  6. [6]C. E. Hamilton, Shirley Carter-Thomas. Competing influences: the impact of mode and language on verb type and density in French and English scientific discourse. Chimera 2017. doi.org/10.15366/chimera2017.4.1.001
  7. [7]Boris New, Marc Brysbaert, Jean Véronis, Christophe Pallier. The use of film subtitles to estimate word frequencies. Applied Psycholinguistics 2007. doi.org/10.1017/s014271640707035x
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