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Which works better for SRS vocabulary drill and general language acquisition: standardized vocab lists, vocab lists from lessons, or generated vocab lists from immersion materials?

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

The short answer

No single source directly pits "standardized lists" vs. "lesson-derived lists" vs. "immersion-generated lists" against each other in one experiment, but the evidence collectively favors a hybrid approach: use frequency-based standardized lists (like the General Service List or corpus-based lists) to build your core vocabulary efficiently, but supplement and reinforce that core with words mined from the material you're actually reading, listening to, or studying, ideally reviewed with spaced repetition. Standardized lists are efficient for building a broad, high-coverage base quickly, while immersion- or lesson-derived lists tend to produce words that are more contextually and personally relevant, which several sources suggest aids retention and real comprehension.

Answered for language learning in general. No specific language was set for this question, so the findings are drawn from general second-language research rather than one language’s literature.

Frequency-based standardized lists give the most bang for your buck early on

Standardized frequency lists (the General Service List, Academic Word List, or BNC/COCA-derived lists) are built so that a relatively small number of words covers a very large share of the words you'll actually encounter — the first 2,000-3,000 most frequent word families typically cover 80-95% of running text in general and even academic materials.6,9,10,14

In plain terms

"Coverage" here means what percentage of the words on a page you already know. Research generally treats 95-98% coverage as the threshold needed to comprehend a text and be able to guess remaining unknown words from context.

Lesson/textbook-chosen words often skew too easy or too narrow

When researchers compared teacher- or textbook-chosen vocabulary lists to what students themselves picked as unfamiliar or useful from the same texts, the teacher-chosen words were concentrated in the most common 3,000 words, while student-chosen words spread much wider, including many mid- and low-frequency words the teacher had not flagged.4

Example

In one Thai EFL classroom study, the textbook author's word list stuck almost entirely to the 3,000 most frequent English words, while individual students flagged rarer words scattered across many different frequency bands "K-4" through "K-19" — meaning lesson-derived lists risk missing words learners personally find difficult.

Purely frequency-based ranking misses usefulness and difficulty

Word frequency alone is a moderate but incomplete guide to which words are worth teaching; adding instructor ratings of a word's usefulness and difficulty, or machine-learning ranking that factors in context and collocation, produces word lists that experienced teachers judge more pedagogically useful than frequency-only lists.1,2

Generic word lists don't fit specialized or local vocabulary needs

Standardized general-purpose lists leave large gaps for specific domains: medical, accounting, or engineering texts require tens of thousands of additional specialized words beyond the general 3,000-word core, and general classroom vocabulary lists commonly cover only about half of the words actually appearing in local textbooks and syllabi.12,14

Example

A study of Spanish-speaking medical students found that even after mastering the top 3,000 general English words, they still needed roughly 26,000 additional medical-specific words to comfortably read English medical textbooks; a separate study of Chinese university classrooms found standard syllabus and textbook word lists covered only about half of the vocabulary students were actually exposed to.

Immersion materials (reading/listening) do produce incidental vocabulary gains, but unevenly

Learners do pick up new words simply from reading novels or listening to authentic audio without deliberate study, but the gains are partial and depend heavily on how often a word appears — real, noticeable learning typically requires roughly 6 to 20+ exposures, and even after many exposures, learners are much more likely to recognize a word's meaning than to be able to recall or spell it.3,5,8

In plain terms

"Incidental" vocabulary acquisition means learning words as a side effect of doing something else (reading a story for enjoyment, watching a show) rather than deliberately memorizing them.

Example

In a study of Spanish EFL students reading an entire authentic English novel, words appearing 10-17 times were learned far better than words appearing only 1-4 times, and even the best-learned words were mostly recognized by meaning only, not fully recalled or spelled correctly.

Listening-based immersion can outperform reading for incidental vocabulary

In a direct comparison, listening to an audiobook version of a novel produced significantly larger vocabulary gains than reading the same text, with gains still measurable three weeks later, suggesting immersion-derived vocabulary lists built from listening material may be especially valuable.15

Word class matters for what immersion vocabulary lists capture well

Extensive reading and listening are not equally good at teaching all types of words — nouns tend to be learned well for their meaning even without much repetition, while verbs need many repeated exposures before learners can actively use their correct form, meaning immersion-generated lists may under-represent verbs unless the source material repeats them often.7,13

Materials must match the learner's existing vocabulary level to work at all, for any list type

Immersion or reading materials only support vocabulary growth if they are pitched near the learner's current level; texts written for children or general native audiences require knowing around 10,000 words for good comprehension, while texts purpose-built for language learners (graded readers) need only about 3,000 word families, making them far more efficient sources for generating a learner's vocabulary list at lower levels.9

Deliberate review of a curated list beats passive exposure alone

Whatever the source of the vocabulary list, actively drilling the words — using spaced repetition or flashcards, rather than only encountering them passively in a lesson or immersion material — produces measurably larger and faster vocabulary gains.3,11,16

Example

In one study, students who spaced out their review of words encountered while listening scored noticeably higher on a later vocabulary test than students who followed a standard non-spaced classroom approach; separately, university students using spaced-repetition flashcard apps outperformed peers studying the same words from a plain wordlist.

What to do with this

  • Based on this evidence, the strongest approach for an SRS-based vocabulary practice is not to pick one list type exclusively but to combine them by role: use a standardized frequency list (a general service list or a corpus-derived academic list) to establish your core few thousand words efficiently, since these give the highest "words known per word learned" payoff, especially early on.
  • Once you have that base, prioritize immersion-generated lists — words you personally encounter and struggle with in real reading, listening, or lessons — because these are the words you're most likely to re-encounter and need, and personal relevance seems to help retention.
  • For English learners with a Thai background moving toward specialized study (medical, engineering, academic English), be aware standardized general lists will leave large gaps that only domain-specific or immersion-derived vocabulary can fill, so plan to mine your own textbooks or field materials for a supplementary list rather than relying on a generic word list alone.
  • Whichever source you draw words from, feed them into spaced repetition rather than a static list or one-off lesson exposure, since spacing and active retrieval consistently outperformed passive or single-exposure study across the sources.
  • Finally, match your source material to your level: if you're building a list from immersion content, prefer content designed for learners (graded readers, learner-oriented audio) at lower levels, since native-level materials demand a much larger existing vocabulary before incidental gains kick in.

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:

Or see the full resource list

Worth knowing

  • None of the provided sources ran a controlled comparison directly pitting standardized lists, lesson-derived lists, and immersion-generated lists against each other for SRS drilling specifically — the evidence is pieced together from separate studies of word-list design, incidental vocabulary acquisition, and flashcard/spacing effectiveness.
  • Most of the underlying studies are on English as the target language with learners from various first-language backgrounds (Chinese, Spanish, Ukrainian, Iranian, and mixed EFL contexts); none specifically studied Thai speakers or Thai-English cross-linguistic factors, and the sources contain no discussion of false friends or contrastive difficulty relative to Thai, so no claims here are Thai-specific.
  • Sample sizes in several studies are small (as few as 12-38 participants), and results may not generalize to all languages or proficiency levels.

Want a deeper literature dive?

There’s enough published research here to go wider than the usual pass. Available on the Pro plan.

See plans

  1. [1]Xuehong He, Aline Godfroid. Choosing Words to Teach: A Novel Method for Vocabulary Selection and Its Practical Application. TESOL Quarterly 2018. doi.org/10.1002/tesq.483
  2. [2]Ruoxi Yin, Chunmei Zhu, Jiuyang Zhu. Decision Support System for Evaluating Corpus-Based Word Lists for Use in English Language Teaching Contexts. IEEE Access 2025. doi.org/10.1109/ACCESS.2025.3579865
  3. [3]Zubenko, Tetiana, Gavrylenko, Anastasiia, Zhyvotovska, Tetyana, Vasylieva, Nadiia. Spaced Vocabulary Acquisition While Incidental Listening by ESL University Students. Advanced Education 2022. https://eric.ed.gov/?id=EJ1362730
  4. [4]Towns, Stuart G.. Which Word List Should I Teach? Using Word Lists to Support Textbook Vocabulary Instruction. THAITESOL Journal 2020. https://eric.ed.gov/?id=EJ1257894
  5. [5]Barry Lee Reynolds, David Wible. Frequency in Incidental Vocabulary Acquisition Research: An Undefined Concept and Some Consequences. TESOL Quarterly 2014. doi.org/10.1002/tesq.197
  6. [6]Sina Ghadirian. Providing controlled exposure to target vocabulary through the screening and arranging of texts. Language learning & technology 2002. doi.org/10.64152/10125/25147
  7. [7]Brian Strong. Word by Word: Investigating L2 Vocabulary Acquisition through Extensive Reading. Reading Matrix: An International Online Journal 2024. https://www.readingmatrix.com/files/33-4nwfo23q.pdf
  8. [8]Ana Pellicer‐Sánchez, Norbert Schmitt. Incidental vocabulary acquisition from an authentic novel: Do Things Fall Apart?. Reading in a Foreign Language 2010. doi.org/10.64152/10125/66652
  9. [9]Stuart Webb, John Macalister. Is Text Written for Children Useful for L2 Extensive Reading?. TESOL Quarterly 2012. doi.org/10.1002/tesq.70
  10. [10]Hsu, Wenhua. Potential Vocabulary Growth in EMI Programs: The Cases of Accounting and Civil Engineering in Taiwanese EFL Context. Journal of English Teaching 2021. https://eric.ed.gov/?id=EJ1322041
  11. [11]Tahereh Boroughani, Nastaran Behshad, Ismail Xodabande. Mobile-assisted academic vocabulary learning with digital flashcards: Exploring the impacts on university students’ self-regulatory capacity. Frontiers in Psychology 2023. doi.org/10.3389/fpsyg.2023.1112429
  12. [12]Tang, Eunice. English vocabulary input in the tertiary classroom in China. . https://core.ac.uk/download/47159.pdf
  13. [13]Soo-Ok Kweon, Hae-Ri Kim. Beyond raw frequency: Incidental vocabulary acquisition in extensive reading. Reading in a Foreign Language 2008. doi.org/10.64152/10125/66819
  14. [14]Betsy Quero. Estimating the Vocabulary Size of L1 Spanish ESP Learners and the Vocabulary Load of Medical Textbooks. 2015. doi.org/10.26686/wgtn.20389077
  15. [15]Mahnaz Aliyar, Anna Siyanova-Chanturia, Stephen Skalicky. Reading versus Listening: Which One Is More Effective for Incidental Vocabulary Learning?. Modern Language Journal 2026. doi.org/10.1111/modl.70029
  16. [16]Ismail Xodabande, Yasaman Iravi, Behzad Mansouri, Hoda Matinparsa. Teaching Academic Words With Digital Flashcards: Investigating the Effectiveness of Mobile-Assisted Vocabulary Learning for University Students. Frontiers in Psychology 2022. doi.org/10.3389/fpsyg.2022.893821