What's in a word family? The assumptions of lexical units

Lemmas, flemmas, and level-6 word families (WF6) are three commonly discussed lexical units. Because each makes differing assumptions about learner knowledge, the selection of one unit over another in research or pedagogy has a great impact on interpretations of the lexical challenge. It is therefore important to fully understand these assumptions so that practitioners can select the most suitable unit for a given purpose. This study introduces an enhanced version of Nation’s BNC-COCA word lists that can be used to quantify several features of lexical units (https://osf.io/4mz6y/?view_only=a295f0089f8745c29667ef21479578c6). The original WF6 lists were adapted by including flemma and lemma groupings, part-of-speech (POS) tags, morphological codings, frequency data, and an expanded list of proper nouns. Analyses of lexical unit composition reveal that the rapid corpus coverage of WF6 is due to its much greater inclusivity than flemmas and lemmas in the 1-2k bands and that irregular forms make up a considerable proportion of 1k tokens regardless of the unit chosen. Accuracy checks then suggest that POS-tagged lists offer an improvement over untagged lists due to the latter’s overestimation of coverage and blocking of homographic concepts. An examination of semantic extension reveals that polysemy is almost as frequent in lemmas as in flemmas and that figurative extension is an important aspect of lexical knowledge. Finally, lexical and morphological profiling shows that threshold coverage values are unlikely to be reached without knowledge of at least mid-frequency basewords and tens of derivational affixes in most genres.

Authors

Publication Details

Journal
Vocabulary Learning and Instruction
Published
2026-02-03
DOI
https://doi.org/10.29140/vli.2026.103408
Primary Topic
Second Language Acquisition and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

What's in a word family? The assumptions of lexical units

Phil Bennett
Vocabulary Learning and Instruction
Second Language Acquisition and Learning
article

What's in a word family? The assumptions of lexical units

Phil Bennett
article en

Abstract

Lemmas, flemmas, and level-6 word families (WF6) are three commonly discussed lexical units. Because each makes differing assumptions about learner knowledge, the selection of one unit over another in research or pedagogy has a great impact on interpretations of the lexical challenge. It is therefore important to fully understand these assumptions so that practitioners can select the most suitable unit for a given purpose. This study introduces an enhanced version of Nation’s BNC-COCA word lists that can be used to quantify several features of lexical units (https://osf.io/4mz6y/?view_only=a295f0089f8745c29667ef21479578c6). The original WF6 lists were adapted by including flemma and lemma groupings, part-of-speech (POS) tags, morphological codings, frequency data, and an expanded list of proper nouns. Analyses of lexical unit composition reveal that the rapid corpus coverage of WF6 is due to its much greater inclusivity than flemmas and lemmas in the 1-2k bands and that irregular forms make up a considerable proportion of 1k tokens regardless of the unit chosen. Accuracy checks then suggest that POS-tagged lists offer an improvement over untagged lists due to the latter’s overestimation of coverage and blocking of homographic concepts. An examination of semantic extension reveals that polysemy is almost as frequent in lemmas as in flemmas and that figurative extension is an important aspect of lexical knowledge. Finally, lexical and morphological profiling shows that threshold coverage values are unlikely to be reached without knowledge of at least mid-frequency basewords and tens of derivational affixes in most genres.

Vocabulary Learning and InstructionVol. 15
Quality Education
Openalex Percentile: Top 70%
Second Language Acquisition and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.