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Here’s an overview of our latest blog posts on enterprise search, document intelligence and legal tech.
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How search engines can be expanded by means of word families

What makes a good search engine? You type a sequence of letters and the document is searched for all occurrences of this combination. This way you can quickly and easily find certain text passages within a document. For a user who wants to find out more about a particular topic or the use of a particular word, such a basic search functionality would certainly not be enough.

New High Quality Search and Linguistics for iFinder5 elastic

IntraFind has long been known for high quality information retrieval. For our new product generation iFinder5 elastic we completely overhauled our core search technology consisting of our Lucene / Elasticsearch Analyzers and our Query Parser. In part 1 of this blog article I talk about advantages for the standard user and how we are able to reduce configuration efforts.

Language Identification and Language Chunking

Identifying the language of a given text is a crucial preprocessing step for almost all text analysis methods. It is considered as a solved problem since more than 20 years. Available solutions build on the simple observation that for all languages typical letter sequences (letter n-grams) exist, that occur significantly more frequent in this language than in other languages.

The difference between stemming and lemmatization

"Stemming" as well as "Lemmatization" are commonly used buzzwords in the field of Information Retrieval (IR), particularly in the development of powerful search engines. [...]

So what exactly is the difference between these two methods? What are the advantages and disadvantages and which one should be preferred? [...]

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