Synonymous Sentences
A medium-tier problem at 57% community acceptance, tagged with Array, Hash Table, String. Reported in interviews at Cruise and 2 others.
Synonymous Sentences is a medium-difficulty problem that asks you to determine whether two sentences are equivalent given a list of synonym pairs. It's been asked at Cruise, Moveworks, and Rippling. The 56.6% acceptance rate reflects a common trap: candidates often treat this as a simple string comparison problem when the real work is building a synonym graph and checking if sentences map to the same logical meaning. If this problem hits your live OA and you blank on how to connect the dots between multiple synonym groups, StealthCoder solves it invisibly in seconds.
Companies that ask "Synonymous Sentences"
Synonymous Sentences is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code.
Get StealthCoderThe trick here is union-find or hash-table-based grouping. You can't just check if word A equals word B directly. Instead, you need to identify which words belong to the same synonym cluster, then verify that corresponding words in both sentences belong to identical clusters. Most candidates start by comparing words directly and miss that transitivity matters (if A is a synonym of B and B is a synonym of C, then A and C are interchangeable). Building a union-find structure or a hash map of synonym groups upfront saves you from walking into that pit. The backtracking angle appears when exploring all possible groupings in harder variants, but the core solution is graph-based equivalence checking. StealthCoder is the hedge for the live moment when you realize your first approach doesn't handle transitive synonyms.
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Synonymous Sentences recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Synonymous Sentences interview FAQ
Is this really a medium, or is the acceptance rate low because people overthink it?+
Both. The 56.6% acceptance rate suggests plenty of people misunderstand the synonym-grouping step or forget that synonyms are transitive. The algorithm itself isn't complex, but the conceptual leap from raw input to a unified graph representation trips people up under time pressure.
Do I need union-find, or can I use a hash table?+
Hash table works fine. Map each word to a canonical representative of its synonym group. Union-find is more elegant but adds complexity. Hash table is faster to code in an interview. Either works as long as you handle transitivity correctly.
What's the most common mistake candidates make?+
Comparing words directly without first grouping synonyms. Also forgetting that if you have pairs like (happy, pleased) and (pleased, joyful), then happy and joyful must be treated as synonyms. That transitivity is the crux.
Do Cruise, Moveworks, and Rippling ask exactly this problem, or variations?+
Reports show this problem was asked at those three companies. Variations exist (e.g., checking all pairs in a sentence, ranking by similarity), but this core version is what was confirmed in interview data.
How does this relate to backtracking or union-find if the solution is just grouping?+
The basic solution uses union-find or hash tables. Backtracking appears in extended versions where you explore all possible synonym assignments. The core 'synonymous sentences' problem sticks to union-find or equivalence-class mapping.
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