Dictionary Express

What we do?

At Lexical Computing, we help our customers create new dictionaries or update and enrich existing glossaries of terms, dictionaries and lexical databases.

Whether print or electronic, our Dictionary Express method makes the dictionary editing process much faster, cheaper and more efficient. The cost and delivery times are only a fraction of what a traditional dictionary editing process would require.

The Dictionary Express method combines the best of natural language processing, artificial intelligence, corpus linguistics and manual data validation into a single package to deliver modern, state-of-the-art, corpus-driven dictionaries, lexical databases, glossaries and similar lexicographic works.

The method was developed, trialled and tested by Lexical Computing, the company behind the Sketch Engine corpus query system and the Lexonomy dictionary writing system.

Users

If you are a publisher, web content developer, software company or terminology manager, please contact us with a specification of your dictionary, glossary or database. We will get back to you with details of how the Dictionary Express method can be exploited for your project. We will also provide indicative pricing and the timeline.

We offer two models:

• a turnkey solution where the customer does not have to be involved at all
• a collaboration where the editorial work is done partly or exclusively by the customer.

Fast and cost-effective

Developing dictionary content from scratch is both slow and expensive, and requires highly-skilled and trained linguists and lexicographers.

Dictionary Express makes the process faster and cost-effective by using AI augmented with the latest NLP and statistical methods. The content is generated  automatically from corpus data. This dictionary draft is then validated and post-edited by human editors. The procedure abandons the traditional A to Z approach and replaces it with component-by-component editing. While dictionaries typically require many years or decades to be produced, our approach reduces the production time to months.