Tag: iLangGen
In my previous article, I showed how “iLangGen” framework facilitates text generation using templates. I talked about the various “patterns” that can be used in a template. However, in that article, I did not go into the details of the “Embedded Template” pattern. That is the focus of today’s article. Embedded Template This pattern allows […]
I had written earlier about natural language generation using my iLangGen framework. I used a “template” text file which was instantiated dynamically based on predefined “grammars” and external data. The sample application I show-cased demonstrated its utility and versatility. Today I would like to touch upon a few other “pattern” elements that can be embedded in […]
In an earlier article, I showed how we can generate poetry (with limitations, of course!) using my iLangGen framework. That implementation (in Lisp) made use of iLexicon, a large dictionary of English words, which I have been building over the years. I subsequently ported iLexicon to Prolog and it now works well in SICStus Prolog. […]
In an earlier article, I wrote about using iLangGen to generate natural language text. iLangGen is a powerful text generation library that I have been working on over the years. Today, I would like to show how we can use that library to generate “poetry“. Be warned, however, that the generated poem is devoid of […]
A few days ago, I came across a nice library called RiTa, which is described as a software toolkit for computational literature. Its two major features are text analysis and text generation. The text analysis module parses given text to extract sentences, tokens, POS, stresses, and phonemes. There is also interesting functionality to conjugate verbs, […]
I had written a series of posts on my iLangGen framework last year. It aims to provide a flexible and expressive approach for building natural language generation systems. In today’s post, I would like to describe a concrete example of how iLangGen can be used for generating natural language text from structured data, aided by […]
One of the advanced features of iLangGen is the ability to embed arbitrary function calls on the RHS of grammar rules. Such functions impart interesting dynamic behaviour to the generated data. For convenience and flexibility, iLangGen supports two types of function calls – Direct and Indirect. In the case of the Direct function call, the […]
In the last post, we saw how iLangGen text generation framework supports reuse of grammars through inheritance, akin to object-oriented languages. The good news is that we can achieve reuse through composition as well. The following is a simple grammar, nothing fancy to elaborate. Here is the output when you traverse the grammar without AST. […]
We are familiar with the advantages of class inheritance in object-oriented languages such as C++, C#, Java, and Python. The ability to reuse functionality via inheritance allows us to express our software design optimally, without having to write redundant code. iLangGen encourages the reuse of grammars by supporting Grammar Inheritance, where a grammar can explicitly […]
Many times, we need to repeatedly generate an element, or in general, have a way to control the number times one or more elements get generated. iLangGen supports all the standard cases: – Zero or once – Zero or more times (unbounded) – Zero or more times (bounded) – One or more times (unbounded) – […]
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