The core vocabulary presented to English-language learners has moved away from the physical world and toward institutions, processes and abstract concepts, according to an analysis comparing widely used word lists separated by 70 years. The changes capture both developments in technology and a broader shift in the language considered necessary for everyday participation.
The comparison examined the 1953 General Service List and the New General Service List, introduced in 2013 and revised in 2023. The older resource contains 2,284 entries and was estimated to cover about 84 percent of general English. The 2023 list has 2,809 entries and covers more than 90 percent, according to the analysis. About 600 words from the earlier selection were removed and more than 1,100 were added.
Some substitutions closely follow technological and social change. ‘Telegraph’ disappeared, while ‘computer,’ ‘website’ and ‘blog’ entered. ‘Tobacco’ gave way to ‘cigarette,’ ‘motherhood’ was replaced by ‘mom,’ and ‘dad’ was added. Other removals involved familiar objects and activities that remain present in daily life: ‘apple,’ ‘fork,’ ‘soap,’ ‘umbrella’ and ‘leaf’ did not make the newer list. ‘Bread’ remained, but ‘flour’ and ‘wheat’ were dropped; ‘cook’ stayed while ‘boil,’ ‘bake’ and ‘fry’ did not.
New entries include ‘mortgage,’ ‘corporation,’ ‘analysis,’ ‘legislation,’ ‘perspective,’ ‘assumption’ and ‘evaluation.’ These terms often describe systems or reasoning rather than things that can be touched. Using the UCREL Semantic Analysis System, the author sorted entries into 21 subject categories. Areas associated with food, farming, the body, objects and nature contracted as a share of the vocabulary, while language associated with government, institutions and abstract processes expanded.
A separate comparison used a database of concreteness ratings for 40,000 English lemmas. It covered 99.8 percent of entries across the two lists, excluding only six unmatched words. The resulting distribution also pointed away from sensory, tangible terms in the newer selection. Part-of-speech analysis used the Natural Language Toolkit with manual corrections, while category comparisons were based on each group’s share of its list rather than raw totals.
The analysis connects the pattern to changes in work and daily experience, noting that U.S. white-collar employment surpassed blue-collar work by 1957 and that fewer than one in four workers performed manual labor by 2000. That interpretation is suggestive rather than proof that employment change caused specific vocabulary decisions.
Because the lists are teaching tools built for broad language coverage, they are not inventories of what exists or what matters. Their differences instead show which words compilers judged learners most likely to need across contexts. In that indirect record, modern English places more weight on navigating organizations and ideas, and less on naming the materials and actions of hands-on life.
