DexBase

Datamuse

Use Datamuse to find semantically related words and compare suggestions before choosing phrasing for writing or study.

Live lookup

Type a real query, scan the cards and confirm the key details before opening the full source.

Quick examples

What the response contains

The displayed route uses the ml, or “means like”, parameter to look for vocabulary related to the sense of a word or phrase. It returns suggestions with a word, score, and tags when available, but a related list is not a definition, translation, or automatic tone choice.

Practical use

The score orders results, but the documentation gives it no interpretable meaning beyond that ordering. Check meaning, register, language variety, and context before using a suggestion in public writing, study, or sensitive communication.

How to use it

Enter an English word or phrase and read the suggestions as vocabulary related by meaning. Compare each word and its tags before using it in a sentence.

Fields worth checking

  • Suggested word
  • Semantic relation
  • Score-based ordering
  • Linguistic tags when available

Who this helps

Writers, students, language learners, and people who want to explore vocabulary alternatives without treating a suggestion as a ready-made definition.

Where this lookup saves time

  • Offers options related to the sense of a query when a vocabulary search needs a starting point.
  • Keeps the difference between a linguistic suggestion, a translation, and a dictionary definition visible.

What the response shows

The route returns a list. Each observed item has word, the suggested text, score, a number used in ordering, and tags when supplied. For ml=happy, for example, words such as pleased and blissful appear with tags that can signal a relation or part of speech. An empty list means no word or phrase met the supplied constraints.

  • Read word as a vocabulary suggestion, not a complete definition.
  • Use tags as extra clues; they can be absent or fail to cover everything needed to choose a word.
  • Do not compare score as though it were a percentage of accuracy, popularity, or suggestion quality.

Making a more useful search

On this page, ml seeks words related by meaning. The documentation also offers parameters for rhyme, similar spelling, synonyms, and specific relations, as well as max to limit returned results. Start with a short idea and test one relation at a time, because related words may not substitute for each other in the same sentence.

  • Use an English word or phrase that describes the core idea you are looking for.
  • Read several suggestions and build a sentence with each candidate before deciding.
  • Open the documentation when you need rhyme, a spelling pattern, a strict synonym, or another relation instead of ml.

Limits of a word suggestion

Semantic relation does not guarantee equivalence, grammatical correctness, translation, regional suitability, or tone. A word can be close in subject yet unsuitable for a register, field, or audience. Do not use a response as a source for claims about historical meaning, legal use, diagnosis, or sensitive content.

  • Check a dictionary, corpus, or specialist source when precision of meaning matters.
  • Do not treat a grammatical tag as a complete analysis of a sentence or every use of a word.
  • Review the whole sentence with a competent speaker or reliable source before publishing high-impact communication.
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