Member Avatar for arupa

How to make a dictionary using C#.

  • 4 Contributors
  • 3 Replies
  • 123 Views
  • 2 Days Discussion Span
  • Latest Post Latest Post by BlackSun

Dani AI

Generated

Brief guide and practical options for building a dictionary in C#

A first design decision is what “dictionary” means here: a small in-memory map for fast lookups, or a full multilingual lexicon with persistent storage, search, and editing. correctly points toward the .NET dictionary types for quick, in-process lookups; those are ideal for prototypes and caching. ’ separation of data and UI is the right architecture principle—keep storage, search, and presentation layers independent. ’s note about encrypting the store is valid when the data must be protected.

Storage choices and schema

  • For persistence use a relational store with a normalized schema: a Words table (Id, Text, NormalizedText, LanguageTag), a Translations table (FromWordId, ToWordId, RelationType, Notes), and optional metadata (part of speech, examples, frequency). Store text as Unicode (NVARCHAR) and record language with standard tags (ISO/BCP formats). Index the searchable columns and consider a full-text index for phrase or inflected-form lookup.

Search, autocomplete and fuzzy match

  • Prefix/autocomplete: either an in-memory trie for low-latency suggestions or indexed prefix queries in the DB.
  • Fuzzy match and ranking: use trigram/Levenshtein algorithms or a search engine (Lucene/Elasticsearch/Lucene.NET) when approximate matches or morphology are needed.
  • Scale: add a distributed cache (Redis) or use a dedicated search node for high read volume.

Operations, concurrency and security

  • Use transactions or optimistic concurrency for updates. For file-based dictionaries prefer strong encryption (AES with proper key management) or DB-level encryption/TDE if available. Keep import/export in standardized formats (CSV/JSON) and normalize text (NFC) on import.

Practical roadmap
Start with an in-memory Dictionary<string,Translation> to validate models, add a relational backing with indexed search, then introduce full-text search and caching as requirements grow. This keeps the implementation incremental and testable while addressing the common gaps noted in the replies.

Recommended Answers

All 3 Replies

Member Avatar for Ramy Mahrous

Data Layer:
Database holds words and their translation in many languages.

UI Layer:
Textboxes and button.

Member Avatar for BlackSun

database file or xml file then encrypt it

Be a part of the DaniWeb community

We're a friendly, industry-focused community of developers, IT pros, digital marketers, and technology enthusiasts meeting, networking, learning, and sharing knowledge.