Malayalam

SMC had started a machine translation service at translate.smc.org.in for English-Malayalam. This system uses huggingface transformers with OpusMT language models for translation. OPUS MT provides pre-trained neural translation models trained on OPUS data. These models can seamlessly run with the OPUS-MT transation servers that can be installed from our OPUS-MT github repository. The translation service is powered by Marian Neural MT engine The quality of the machine translation depends on the availability of parallel corpus. Data contributions by actual users are more than welcome. If you are interested in contributing translated documents, please use Opus repository to upload translated documents in various formats. This could also be translated webpages. Anyone can create an account and start uploading data. You may also help us uploading additional training data at https://translate.ling.helsinki.fi/

In my previous blog post, I wrote about an experiment of using SVG path animation to help learn malayalam letter writing. That prototype application was well received by many people and that encouraged me to host it as a proper application. Now, the Malayalam learning application is available at https://learn.smc.org.in Source code: https://gitlab.com/smc/mlmash I added all letters of Malayalam there. Added a few common ligatures too. Kavya helped to record and add pronunication of these letters with couple of examples. ...

I wanted to make an educational typeface with writing directions in each glyphs. Something like this: But considering the effort it takes I was bit confused whether it is really necessary to have a typeface or just images like this will suffice. Recently, I read about SVG path animations and I thought animating the path inside each letters will be more helpful than static image with drawing directions. The Chilanka and Manjari typefaces I designed have SVG images with strokes as master designs and in most of the cases, the stroke path directions are the writing directions. That makes my job easy as I can just reuse all those SVGs and apply path animations. ...

docs.thottingal.in is my personal knowledge space I try to document and share everything I know about this world in form of an online GitBook hosted on GitHub. What is a digital garden? In basic terms, it is a different format for written content on the web. It’s about moving away from blog posts ordered by dates and categories, into more of an interlinked web of notes. Blog posts are articles at a point in time, while here it is living document. Digital gardens are also known as Zettelkasten or Second Brain. ...

The test corpus for Malayalam Morphological analysis has many foreign words. They are either written in a non-Malayalam script or written in Malayalam. For example, “ഇലക്ട്രിസിറ്റി”, “ഡോക്സ്”, “ഇന്റർമീഡിയറ്റ്”, “അബ്സ്ട്രാക്റ്റ്”, “ഇല്ലസ്ടേഷൻ”, “ഇല്ലിറ്ററേറ്റ്”, “റെക്കോർഡ്”, “procrastination”, “唐宸禹” - These are all foreign words and it is useless to analyse them using mlmorph. Since mlmorph works based on a root word lexicon, it is practically impossible to have them in lexicon. So there should be a way to identify the words easily and tag them as FW - Foreign word Part of speech. The presence of these foreign words also distorts the coverage statistics of mlmorph. A good part of the test corpus is Malayalam wikipedia corpus and it has so many foreign words when the article is about foreign places or people. ...

As more and more people enter to the Malayalam digital world, the issue of not having any formal training for Malayalam computing is more observed. People sometimes just search for input methods in web, ask friends or use whatever coming with the devices they have. Since I myself is an author of two input methods, sometimes people ask me too. This essay is about the characteristics of a good input method to help people make the right choice. This essay does not recommend any particular input method though. I will focus on Malayalam language, but some concepts may be applicable for similar languages. ...

A new version of Malayalam spell checker based on mlmorph is available as python library. Install the library $ pip install mlmorph_spellchecker Sample usage >>> from mlmorph_spellchecker import SpellChecker >>> spellchecker = SpellChecker() >>> word = "ഉച്ഛാരണം" >>> spellchecker.spellcheck(word) False >>> spellchecker.candidates(word) ['ഉച്ചാരണം'] >>> spellchecker.spellcheck("ചിത്രകാരൻ") True The new version adds a database of commonly mistaken words of Malayalam for quick checks and correction. If the given word is present in that common list, spellcheck result and correction suggestions will be based on that database. This database is based on Malayalam Wikipedia’s commonly mistaken words and Kerala government glossary of such words. Source code is at gitlab ...

A new version of Manjari typeface is available now. New version adds about 25 Latin glyphs that are considered important by Google Fonts checks. Manjari is now integrated with Fontbakery font quality check in its CI. Some bugs reported by Fontbakery is also fixed. It is available at SMC website. Change log is available in gitlab SMC also started to publish the font releases in a new release file server - releases.smc.org.in. Thanks to Balasankar and Ashik for the release workflow automation.

A rough drawing I did in 2014 November 20 and shared with my friends as a new font idea. I got this concept from my explorations about perfect curves in Malayalam script after I released Chilanka font. I spent all my free time from then onwards till releasing Manjari typeface on 23rd July 2016 by making it as perfect as I can. I took two months time off from my job in 2016 to complete this work too. Kavya also helped me in preparing the thin variant from outlines. Once released, it became one of the most popular typefaces in Malayalam. ...

A new version of Manjari typeface is available now. It adds Vedic Anuswara letter ഄ - 0D04 encoded in Unicode 13.0 It is available at SMC website. To learn more about Vedic Anuswara, you may refer the encoding proposal