A word-sense inventory is an organised set of meanings or senses assigned to a word or lexical item in a dictionary, lexical database or language-processing project. The English word bank can refer to a financial institution or the land beside a river. The word scale can refer to a measuring device, a ratio or a musical pattern, depending on the context. An inventory distinguishes these uses and supplies definitions, examples or identifiers so readers and systems can select the intended meaning without pretending that matching spelling means matching concept.
Why is this a vocabulary technology? Because accurate reading, translation, research and search depend on recognising which meaning a word carries in the current sentence. If a student encounters cell in Science, they need to know whether the passage concerns living organisms or electrical circuits. If a search service treats every use of current as one concept, it can send the pupil to an irrelevant explanation. A word-sense inventory gives us a map of possible interpretations, while context and evidence help determine which one is active.
This guide explains how senses are represented, the difference between homonymy and polysemy, why dictionaries disagree about boundaries, how Princeton WordNet organises senses through synsets and how word-sense disambiguation uses contextual clues. It includes original comprehension examples, subject-specific cases and a small inventory-building activity. A sense inventory is not an infallible model of every possible figurative or newly emerging meaning; it is a deliberately scoped resource for explaining and comparing lexical interpretations.
Editorial note: All example pupils, passages and inventories are fictional. Word senses and their numbering are resource-dependent; no one inventory is presented as exhaustive or universally definitive.
Contents: word forms, distinct senses and context
Explore 64 chapters and worked sense distinctions
- The first example: bank by the river or bank account?
- The Princeton WordNet model
- A sense is not merely another spelling
- A lemma groups forms rather than every meaning
- Word form, lexeme, sense and concept
- What is a gloss?
- Examples make a gloss usable
- Sense inventory versus ordinary dictionary entry
- WordNet synsets: words grouped by sense
- One word may appear in multiple synsets
- Sense order is not an eternal popularity ranking
- Coarse versus fine-grained sense inventories
- An inventory is a model, not the word itself
- Homonymy and polysemy are different analytic ideas
- Homographs are not always one lexeme
- Homophones require another distinction
- Grammar can help select a sense
- Contextual nouns can distinguish meaning
- Verbs can provide disambiguating evidence
- The wider paragraph can override a first guess
- Disambiguation is a reasoning task
- Computational word-sense disambiguation
- A model cannot choose a sense outside its inventory
- The ‘most frequent sense’ baseline
- A new word sense can arise
- Sense boundaries can be disputed
- Sense IDs should remain interpretable
- A sense number is not the definition
- Word sense and concept mappings
- Sense inventories and controlled vocabularies
- A sense inventory is not a synonym ring
- A sense inventory helps translation
- Multilingual lexicons can align senses
- A reading comprehension case: cell
- A Mathematics case: mean
- A Science case: current
- A History case: source
- An English literature case: charge
- A source and destination case
- A literary metaphor can cross sense boundaries
- Word senses and semantic frames
- Word senses and semantic preference
- Word senses and collocation
- The word-sense inventory can be too coarse
- The inventory can be too fine-grained
- A sense inventory needs evidence
- An annotation exercise
- A two-reader agreement test
- A sense inventory can guide search
- Search relevance still needs inspection
- How to build a simple school sense inventory
- A helpful negative example
- What to do when no sense fits
- A correction needs a history
- Cross-inventory mapping can be approximate
- Sense inventories in reading instruction
- Sense inventories in vocabulary composition
- A small teacher review checklist
- An everyday message can remain ambiguous
- Do not infer motive from a lexical sense
- A four-step sense-selection method
- Ten diagnostic questions
- Frequently asked questions
- Sources, limitations and next action
1. The first example: bank by the river or bank account?
Consider two original sentences: ‘The family walked along the bank of the river’ and ‘The customer called the bank about the account’. The written form bank appears in both, but the surrounding expressions lead to different intended senses.
An inventory can keep separate records for those senses with short glosses and examples. A learner can then select the meaning that fits the current sentence.
The spelling alone is insufficient; the relation to river in one sentence and account in the other provides the key evidence.
2. The Princeton WordNet model
The Princeton WordNet website explains that English nouns, verbs, adjectives and adverbs are organised into sets of words corresponding to specific senses.
These synonym sets, or synsets, have glosses and relationships to other synsets. WordNet therefore links more than word strings; it links meanings and their conceptual relations.
A school inventory can borrow the distinction without claiming that its simple word table implements all of WordNet’s lexical and semantic structure.
3. A sense is not merely another spelling
The words colour and color are spelling variants in different conventions for the same basic word. Those forms need not automatically be separate meanings.
Bank as a financial institution and bank as a river edge differs in lexical sense rather than just orthography.
Record form variation separately from sense distinctions when the information system needs precision. Otherwise, the number of rows can misrepresent the number of meanings.
4. A lemma groups forms rather than every meaning
A lemma is a canonical dictionary or lexical headword under which related inflected forms are often grouped, such as run, runs, ran and running for the verb run under ordinary lemmatisation.
One lemma can have several senses. A word-sense inventory must therefore distinguish the basic form from the meanings associated with it.
Do not treat each tense or plural form as a separate dictionary sense merely because the spelling differs. Inflection and polysemy answer different questions.
5. Word form, lexeme, sense and concept
A word form is an observable expression, a lexeme is an abstract vocabulary unit across appropriate forms, and a sense is a meaning assigned in a particular lexical analysis.
A concept or synset may group several lexical items whose senses are roughly synonymous in context, depending on the database’s model.
These terms overlap in ordinary teaching but their distinctions matter when building databases or explaining why one label points to several topics.
6. What is a gloss?
A gloss is a short definition or description associated with a lexical sense. WordNet provides glosses for synsets to help describe the intended meaning.
For the financial-bank sense, a gloss identifies an institution offering financial services. For the riverbank sense, it describes land associated with the edge of a river.
An effective gloss should distinguish the sense from close neighbours, not merely repeat the headword in different spelling.
7. Examples make a gloss usable
A dictionary definition may sound abstract until a learner sees the word in a short sentence that clearly selects the sense.
Pair an accessible definition with a meaningful example and, when helpful, an exclusion. This creates a stronger teaching resource than a list of vague definitions.
One example is not exhaustive. The inventory still needs to reflect the range the sense actually covers.
8. Sense inventory versus ordinary dictionary entry
A dictionary often includes pronunciation, spelling, grammatical features, origin, usage labels and multiple senses. A word-sense inventory focuses on organising the different meanings needed for a particular task.
A digital inventory may store sense IDs and relationships that are not visible in a printed learner dictionary.
The tools complement one another. Readers generally need understandable definitions; software may also require stable structured references.
9. WordNet synsets: words grouped by sense
The WordNet introduction explains that synonyms are grouped into synsets and interlinked through conceptual-semantic and lexical relations.
An individual word can appear across multiple synsets when it has more than one relevant sense. The database therefore does not equate an entire word spelling with one universal concept.
That distinction makes a synset inventory useful for semantic search and language analysis, though it is not identical to every modern lexicographic theory.
10. One word may appear in multiple synsets
A search for a polysemous word can return several WordNet senses whose definitions and examples differ.
Selecting the intended synset requires context. A computer program that simply chooses the first displayed entry can make mistakes.
The WordNet command-line documentation explains how senses and glosses are displayed and ordered.
11. Sense order is not an eternal popularity ranking
WordNet’s FAQ cautions that sense ordering is based on sparse manually tagged text and should not be treated as a reliable research estimate of global usage frequency.
A frequent-looking sense in a dictionary can be less relevant to a specific school passage than another sense.
Choose the meaning that fits the actual context and source rather than assume the first entry is always correct.
12. Coarse versus fine-grained sense inventories
A coarse inventory makes relatively broad distinctions, such as financial institution versus river edge. A fine-grained one may separate related uses into several detailed sub-senses.
Neither granularity is universally best. A learner dictionary may need practical distinctions, while a research database may require more analytical detail.
Too many nearly identical senses make selection difficult; too few can hide differences essential to a task. State the intended purpose before designing the inventory.
13. An inventory is a model, not the word itself
A language community can create new metaphorical uses and extend old meanings. No fixed inventory necessarily captures every legitimate sentence ever written.
The resource reflects the scope, evidence, date and policy of its creators. Its entries can be revised as usage and understanding develop.
Do not use a missing sense in one inventory as proof that a creative or specialised expression cannot exist.
14. Homonymy and polysemy are different analytic ideas
Homonymy broadly concerns distinct words or meanings sharing form; polysemy concerns related senses of a lexical item. Dictionaries can draw the boundary differently.
The uses of head for a body part and the head of an organisation may be treated as related, while a financial bank and river bank can be presented as different lexical histories in particular analyses.
The learner’s immediate task is usually to identify the meaning in context rather than settle every etymological classification.
15. Homographs are not always one lexeme
Two distinct lexical items can have the same spelling. The written form alone therefore cannot guarantee one common definition or grammatical behaviour.
The inventory may record separate entries or sense groups depending on its design. The relation should be explicit rather than inferred by title matching.
See the Ambiguous Label guide for the corresponding information-organisation problem.
16. Homophones require another distinction
Words such as sea and see sound alike in many English varieties but differ in spelling and meaning. They demonstrate an ambiguity of sound form rather than identical written headwords.
An inventory designed for spoken language may need to address the shared pronunciation. A spelling-focused inventory may store separate lexemes whose forms are already distinguishable in print.
The communication medium shapes which ambiguity is relevant.
17. Grammar can help select a sense
A word such as light functions as a noun, verb or adjective in different constructions. Grammatical role helps narrow which meanings are plausible.
‘Please light the lamp’ uses a verb, while ‘The bag is light’ uses an adjective. The interpretation is not determined by spelling alone.
Word-class information belongs in a useful lexical record because it supports both understanding and sentence formation.
18. Contextual nouns can distinguish meaning
The words account, deposit and customer support a financial interpretation of bank. Words such as erosion, river and flood support a geographic interpretation.
These are useful signals rather than infallible rules: a story can describe a financial bank near a river.
Consider the whole clause and the discourse’s intended entities rather than rely on a single neighbouring keyword.
19. Verbs can provide disambiguating evidence
‘She deposited money at the bank’ makes a financial interpretation likely. ‘They rested on the bank’ in a river-walk story suggests the landform sense.
The action participants and setting work together. A verb can be polysemous too, so the analysis may need several clues.
Ask which reading supports a coherent account of the event without inventing information missing from the text.
20. The wider paragraph can override a first guess
A passage begins with a mention of a bank and a bridge. A reader assumes a riverbank. The next sentence describes opening a savings account.
The later evidence may reveal that the bank is financial and the bridge is an independent part of the setting.
Meaning selection should remain open to revision as the discourse develops, rather than become permanent after the first familiar context word.
21. Disambiguation is a reasoning task
Word-sense disambiguation involves identifying which sense of a word is intended in a specific context. The inventory supplies candidate senses and the context supplies evidence.
Successful selection requires comparing alternatives, not merely noticing that a keyword from one gloss appears nearby.
The task has parallels with ordinary reading comprehension: formulate possible interpretations, reject incompatible ones and retain uncertainty when needed.
22. Computational word-sense disambiguation
Natural language processing systems may use contextual words, syntactic roles, pretrained representations or annotated training examples to predict sense labels.
Different systems and inventories produce different results. A high model score should not be treated as proof that one meaning is universally correct.
Princeton WordNet is one source of structured senses, but a model’s sense inventory, training data and evaluation policy must be identified before interpreting its output.
23. A model cannot choose a sense outside its inventory
If the relevant new or specialised meaning is missing, a closed-set classifier may assign one of the available senses even when none is appropriate.
A responsible system can include an Unknown or Needs Review state, or use a resource that supports the new meaning.
Do not treat a confident forced label as evidence that the language contains no other possible interpretation.
24. The ‘most frequent sense’ baseline
Some word-sense disambiguation research uses a most-frequent-sense baseline, which predicts a common sense according to an inventory’s tagged data.
That baseline can be informative for comparing systems, but it can fail on unusual genres, specialised tasks or low-frequency senses.
The WordNet FAQ warns against overinterpreting its sparse sense-frequency estimates. A pupil in a geography lesson should not be sent to finance merely because another sense is more frequent in general text.
25. A new word sense can arise
A familiar word can acquire a technical meaning in a new field. The inventory’s creators may need to review whether that meaning warrants a distinct sense or is covered by an existing one.
Adding a sense requires evidence, a usable definition, examples and an appropriate identifier under the scheme’s policy.
Do not add a new meaning merely because a writer has created one imaginative sentence. Lexical innovation and an established dictionary sense have different evidential thresholds.
26. Sense boundaries can be disputed
Two editors can agree that a word has several uses while disagreeing on whether two closely related uses deserve separate sense numbers.
The disagreement may reflect a real gradation in meaning, different lexicographic aims or insufficient evidence.
Record the reasoning behind the boundary and assess whether splitting the senses improves retrieval and reader understanding.
27. Sense IDs should remain interpretable
A stable sense identifier can help link annotation, examples, source data and other resources, even if the displayed gloss changes slightly.
A significant change in scope may require new identifiers or versioned mappings. Simply reusing an old ID for a different meaning can corrupt earlier annotations.
The Concept Identifier guide explains why identity needs more than a memorable name.
28. A sense number is not the definition
Sense 2 in one dictionary does not automatically mean the same thing as Sense 2 in another. Ordering and granularity vary.
Cross-dictionary comparisons should use glosses, examples, source schemes and scope rather than assume matching integers establish identity.
An inventory label is a local reference point, not a universal semantic code unless the systems have an agreed mapping.
29. Word sense and concept mappings
Two lexical databases may describe similar meanings at different levels of detail. Mapping one sense exactly to another could be too strong when their scopes differ.
A crosswalk may use close, broader or narrower relationships depending on the underlying models and evidence.
The Semantic Crosswalk guide explains why label similarity does not settle relation strength.
30. Sense inventories and controlled vocabularies
A controlled vocabulary manages concepts used to classify or retrieve resources. A lexical sense inventory organises meanings of words, sometimes linked to broader conceptual relationships.
The two can overlap and exchange information, but a school taxonomy’s subject entry is not necessarily identical to a dictionary’s lexical sense.
Keep the user task clear: choose a word meaning, classify a document or connect two knowledge schemes.
31. A sense inventory is not a synonym ring
A synonym ring groups phrases treated as equivalent for a particular retrieval purpose. A sense inventory distinguishes different readings of a lexical item.
Those functions are nearly opposite when a form is ambiguous: the ring connects alternative expressions for one target, while the inventory separates one expression’s possible targets.
See Synonym Rings for the retrieval-equivalence problem.
32. A sense inventory helps translation
Before translating a word, identify its meaning in the source context. A literal substitution based on the wrong sense can produce a fluent but incorrect translation.
A riverbank and financial bank may have different target-language words or constructions. The correct choice depends on the actual event being described.
Use sense-specific examples and real target-language usage; do not assume every sense in English has one exact equivalent in every language.
33. Multilingual lexicons can align senses
Cross-language lexical resources may connect words in several languages through shared concepts or mappings, depending on how the resource is designed.
Not every meaning divides neatly into the same categories across languages. Some senses need descriptive phrases or qualified mappings.
The Lexical Gap guide explains why accurate translation can require more than a single word.
34. A reading comprehension case: cell
An invented passage describes a cell producing energy within a living organism. The surrounding words support a biological sense rather than a battery cell.
A different passage about an electrical circuit selects the electrochemical meaning. The same printed word belongs to different subject explanations.
Ask the learner to point to the contextual evidence before choosing a dictionary gloss.
35. A Mathematics case: mean
In an arithmetic problem, mean can denote the average under the specified statistical measure. In an ordinary conversation, mean can describe an unkind action or indicate what a speaker intends.
The word class, task and numerical data identify the relevant interpretation. The learner should not import an unrelated everyday sense into the calculation.
A precise inventory entry can make the technical meaning accessible without declaring the everyday word wrong.
36. A Science case: current
In electricity, current concerns the flow of electric charge under a suitable definition. In ordinary time descriptions, current can mean present or up to date.
Both meanings are legitimate, but the correct explanation depends on whether the task involves a circuit or a document version.
Adding Electric Current and Current Version as separate resource labels may help a mixed learning library.
37. A History case: source
Source can mean the origin of information, an original historical document or a physical origin of something, among other uses.
A History essay asking for source evaluation has a specific methodological context. The pupil should identify provenance, perspective and evidence rather than choose a generic dictionary paraphrase.
Use examples from the actual task to clarify the intended sense and its technical requirements.
38. An English literature case: charge
A fictional narrative uses charge for a fee in one scene, and the verb charge for rushing forward in another.
The context identifies different actions. A student who sees the same spelling in both may need to inspect word class, participants and surrounding events.
Teach meaning selection through a sentence, not only by presenting a list of isolated numbered glosses.
39. A source and destination case
A travel article mentions a terminal. It may refer to a transport facility, a computing interface or another specialised use in different contexts.
The subject and other words constrain the interpretation, but a short title ‘Terminal’ might still need a choice page in a broad atlas and computing library.
The Disambiguation Page guide explains how the interface can help readers select the intended resource.
40. A literary metaphor can cross sense boundaries
A story describes a city swallowing its visitors. The writer applies a familiar verb in a nonliteral way that may not correspond to a distinct dictionary sense in every inventory.
A student should explain the intended image from context rather than insist the sentence must be literal or choose a random unrelated gloss.
Inventories are tools for analysing established patterns, while creative interpretation may require additional reasoning.
41. Word senses and semantic frames
Different senses of a word can evoke different scenes and roles. A financial bank relates to accounts and transactions, while a riverbank belongs to a geographic setting.
The Semantic Frame guide shows how lexical meanings can activate relevant roles.
Combining sense selection with frame analysis helps learners understand why neighbouring words belong together in a passage.
42. Word senses and semantic preference
A particular sense of a word may frequently appear near certain classes of objects. Another sense of the same word may have a different distribution.
Analysing them together without sense distinctions can create misleading corpus averages.
The Semantic Preference guide examines how recurring semantic classes occur around expressions.
43. Word senses and collocation
A word’s conventional lexical partners can differ by sense. An expression that fits one meaning may sound strange when transferred to another.
Recognising which sense is active helps a writer choose the right collocation and avoid misleading word substitutions.
See Collocations for the word-partnership dimension.
44. The word-sense inventory can be too coarse
If a record merges several meanings that are important for a school exercise, a pupil may receive an explanation that hides the required distinction.
Adding a more specific sense or usage note may improve comprehension. The decision should be supported by authentic examples and a clear task.
More categories are not always better, but some distinctions become necessary as the information need becomes precise.
45. The inventory can be too fine-grained
A dictionary could separate many slightly different uses whose boundaries even experts find hard to apply consistently.
That may increase annotation disagreement and confuse beginning readers. A simpler learner-focused grouping can sometimes serve the task better.
Granularity should match purpose. A broad inventory is not automatically inferior to a detailed one, and the reverse is also true.
46. A sense inventory needs evidence
Definitions and examples should reflect actual usage rather than meanings invented solely to fill a database.
Corpus examples, reliable dictionaries, specialist sources and editorial review can support distinctions. The required evidence depends on whether the inventory is for learners or a research benchmark.
Do not label a speculative new sense as a broadly established usage without a defensible source.
47. An annotation exercise
Give pupils five original sentences containing one ambiguous word. Provide three sense glosses and ask them to select the one each sentence expresses.
Require a contextual clue for every choice. Include one case where the correct answer is Unclear without additional text.
This teaches a discipline of evidence and uncertainty rather than reward forced guesses.
48. A two-reader agreement test
Two learners independently label the senses in the same short passages. Compare where they agree and where they choose different entries.
Disagreements may reveal unclear examples, overlapping sense definitions or missing context. They should not automatically be interpreted as a lack of intelligence.
Revise the glosses or supply more context and ask whether the boundary becomes clearer. This is a teaching exercise, not a formal psychometric evaluation.
49. A sense inventory can guide search
If a reader searches ‘cell’, the system may suggest Biology Cell and Electrical Cell as separate concepts. The underlying sense distinctions make the search routes clearer.
An actual search engine needs implementation support to use the inventory. Publishing the sense table alone does not guarantee automatic contextual search.
Test the results with realistic queries and check the final articles for relevance and factual accuracy.
50. Search relevance still needs inspection
A page can mention a target sense but fail to answer a particular learner’s question. A relevant heading is not proof of a useful lesson.
The Relevance Judgement guide shows how to assess the actual document against the information need.
Word-sense disambiguation is one part of matching meaning; resource quality and task fit are separate checks.
51. How to build a simple school sense inventory
Start with Word, Sense Label, Plain Definition, Example Sentence, Subject or Register and Possible Confusion. Give each meaning an internal identifier if the list will be reused.
Choose an ambiguous word such as scale. Include a map-ratio sense and a measuring-device sense with distinct original examples.
Do not copy one short vague definition across every sense. The inventory should expose what changes when the context selects one reading.
52. A helpful negative example
For the riverbank sense, add a sentence about opening an account and label it a non-example. For the financial sense, include a sentence about a river and erosion as a non-example.
These examples make the boundary easier for a beginner to inspect. They also test whether the learner understands the context rather than only the spelling.
Use the term non-example as a teaching aid; a real corpus may contain deliberate metaphor or unusual combinations needing further analysis.
53. What to do when no sense fits
A learner encounters a technical term in a new field and finds no matching gloss in the available dictionary.
The correct next step may be to consult a specialist source, inspect wider context or record a new candidate meaning for review.
Do not force the passage into the nearest unrelated sense simply because the inventory has a fixed number of rows.
54. A correction needs a history
An editor discovers two senses were accidentally merged or that one gloss included the wrong example. The correction should identify the affected entry and any dependent annotations.
For a maintained database, version information and change notes can help researchers understand earlier decisions.
The Change Impact Analysis guide explains why a small concept revision may affect several resources.
55. Cross-inventory mapping can be approximate
One dictionary may group three related uses into one broad sense; another may assign three individual sense IDs. An exact one-to-one mapping might therefore be impossible.
A qualified broader, narrower or related relation can represent the differences more honestly when the scheme allows them.
The purpose of a mapping is to preserve scope, not artificially make all dictionaries number meanings in the same way.
56. Sense inventories in reading instruction
A Primary pupil can begin with two familiar meanings of bank or light. A Secondary pupil can inspect more nuanced or figurative senses in a narrative.
Match the task to the learner’s background knowledge and reading goal. A complicated semantic database is not needed for every comprehension question.
Do provide enough context and example sentences to show why the meaning changes.
57. Sense inventories in vocabulary composition
A writer selects the word charge but means to describe a rush forward. They should avoid accidentally invoking a financial or legal sense in a sentence where context is unclear.
Choosing the correct sense helps them select appropriate verbs, nouns and supporting details.
Vocabulary precision comes from putting the right word meaning into the right sentence, not from collecting the largest number of dictionary entries.
58. A small teacher review checklist
Ask whether each sense has a distinct usable definition, representative example, necessary grammatical notes and an appropriate source.
Test common boundary cases, ambiguous sentences and the learner’s likely register. Identify any difference between the local inventory and external dictionary entries.
The checklist does not establish that the inventory is exhaustive. It protects against the most visible errors within the defined task.
59. An everyday message can remain ambiguous
An organiser writes ‘The current version is ready’. The adjective current has a temporal meaning, but ready remains under-specified as a workflow status.
Even after selecting the correct word sense, the reader may need additional conditions to know whether the file can be published.
Sense selection solves one layer of ambiguity, not every missing instruction in the wider message.
60. Do not infer motive from a lexical sense
A character uses an ambiguous expression in a novel. A reader might select a plausible meaning but still lack evidence about why the character chose it.
The word’s sense and the speaker’s intention are related questions but not identical ones. The broader text may support irony, concealment or an innocent misunderstanding.
State what the words support and leave unobserved motives appropriately qualified.
61. A four-step sense-selection method
First identify the ambiguous word and its grammatical role. Second read the clause and surrounding sentences. Third compare the candidate senses. Fourth choose the interpretation best supported by the discourse, or record uncertainty.
After selecting a sense, check whether the passage’s event and relationships remain coherent. If not, revise the interpretation.
The method is a practical reading routine, not a guarantee that every creative or technical use belongs to a pre-existing sense.
62. Ten diagnostic questions
1. Can one spelling have several senses? Yes. 2. Is a sense inventory a list of random synonyms? No. 3. Does WordNet group synonyms in synsets? Yes. 4. Is the first sense always right? No.
5. Can dictionaries disagree on sense granularity? Yes. 6. Can context select a meaning? Yes. 7. Is a word form the same as a concept? No. 8. Can a computer choose the wrong sense confidently? Yes.
9. Does a missing sense prove the use is impossible? No. 10. What is the practical value? Distinguishing which meaning a word actually communicates in the present task.
63. Frequently asked questions
Is a word-sense inventory the same as a dictionary? It is a structured organisation of senses, which can be part of a dictionary or lexical database. What is WordNet? A lexical database grouping word senses into synsets and semantic relations.
Is polysemy an error? No, it is a normal feature of language. Do pupils have to memorise every sense? No; teach relevant meanings and how to identify them from context.
Why does this belong in vocabulary mastery? It prevents students from mistaking word recognition for understanding and makes the correct meaning a checkable part of reading, writing and translation.
64. Sources, limitations and next action
The Princeton WordNet website explains synsets and inter-sense semantic relationships. The WordNet documentation describes glosses, displayed senses and ordering, while the FAQ cautions against overinterpreting sparse frequency-based sense ordering.
The school passages and local inventory entries above are original educational examples. They do not assert that one dictionary or lexical database exhausts every English sense or translation.
Choose one word you have encountered with two distinct meanings. Write a short gloss for each, one positive sentence and one negative example. Ask another reader to select the sense from an unfamiliar passage and identify the clue. You have turned vocabulary into a map of real meanings rather than merely a spelling list.