Thottingal.in Website Review

I am happy to announce the first version of Malayalam morphology an*lyser. In this release, mlmorph can an*lyse and generate malayalam words using the morpho-phonotactical rules defined and based on a lexicon. We have a test corpora of Fifty thousand words and 82% of the words in it are recognized by the an*lyser. A python interface is released to make the usage of library very easy for developers. The library is available in pypi.org – It avoids all difficulties of compiling the sfst formalism and installing the required hfst, sfst packages. There are lot of known limitations with the current release. I plan to address them in future releases. coverage test corpora also helped to increase the lexicon. But it still need more improvement Some examples are മറ്റൊരു, പിന്നീട്, അതുപോലെത്തന്നെ, increased, many rarely used words can become alternate parts in agglutination of the words. For example, പാലക്കാട് can have an an*lysis of പാല്, അക്ക്, ആട് -Even though this is grammatically correct, it should get less preference as possible, but it is not enough to cover all required tags for malayalam. learning curve for this project is too steep to attract new developers. Above average understanding of Malayalam grammar is a difficult requirement too. I am planning to write down some tutorials to help new developers to join. The project is meaningful only when practical applications are built on top of this. The Malayalam and Tamil Root Zone Label Generation Rules for International Domain names have been released for public comments. See My earlier blog post on Internationalized Top Level Domain Names in Indian Languages prepared a  manually curated 150K words list, it was nowhere near to cover practically infinite words of Malayalam. For languages with productive morphological processes in compounding and derivation that are capable of generating dictionaries of infinite length, a