Self - Introduction

[stuti singh]

Hello Everyone,

My name is Stuti Singh. I am studying Computer Science (B.Sc) from Pune University and will be graduating in the month of August.

I have been trying to follow the group and the things happening around but it's hard to catch up with, certainly, when I don't know where to begin from.(Not complaining to you all, thought I could share)

I have interest in pursuing NLP and Theory of Automation to dig in deeper to understand how Sanskrit can be used to implement NLP at a better level, leaving behind the other languages, in terms of hen it comes to Formal Automata or building up a FSA. 

I understand we need to get into deeper aspects of compiler construction and other various concerning areas. 

But here is the issue: having an idea about the whereabouts is not enough. I am not sure where to begin my research/analysis with? 

And the posts that everyone adds in the room seem to be very professional and I am a newbie to all of this. 

Hoping to get some advice and instructions on where and how to begin with, because I really want to work on this. I just a bit overwhelmed. 

Warm Regards

Stuti Singh

[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Fri, May 21, 2021 at 7:29 PM stuti singh <singhs...@gmail.com> wrote:

Hello Everyone,

My name is Stuti Singh. I am studying Computer Science (B.Sc) from Pune University and will be graduating in the month of August.

I have been trying to follow the group and the things happening around but it's hard to catch up with, certainly, when I don't know where to begin from.(Not complaining to you all, thought I could share)

I have interest in pursuing NLP and Theory of Automation to dig in deeper to understand how Sanskrit can be used to implement NLP at a better level, leaving behind the other languages, in terms of hen it comes to Formal Automata or building up a FSA. 

Can you flesh out in detail what you mean by the above (esp. " Sanskrit can be used to implement NLP")? Prima facie it seems like one of those "Sanskrit is superior for making programming languages" trope, which is bunk.

 

But here is the issue: having an idea about the whereabouts is not enough. I am not sure where to begin my research/analysis with? 

My suggestion: Pick some interesting problem and solve it - build something others can use (reading and writing research articles being an optional side-effect). This need not involve FSA or ML. Otherwise even if you focus on merely publishing some research/ analysis, you will forever be wondering if you did anything truly useful.

Start with some simple problem, and progress towards tougher ones if that's really your interest. Alternatively, don't care about "complexity" and just build things YOU want as a sanskrit student or researcher.

 

And the posts that everyone adds in the room seem to be very professional and I am a newbie to all of this. 

Hoping to get some advice and instructions on where and how to begin with, because I really want to work on this. I just a bit overwhelmed. 

Warm Regards

Stuti Singh

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Vishvas /विश्वासः

[stuti singh]

https://indiaai.gov.in/article/fundamentals-of-nlp-research-in-sanskrit

Please read the above article and then we'll talk about this in detail. Want to get rid of that misconception first. 

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[Shreevatsa R]

Welcome, and good luck.

You can think of the following two questions as separate tracks:

- "What can Sanskrit do for computers?", and

- "What can computers do for Sanskrit?"

It seems that you are more interested in the former, and while I have not seen anything concrete and promising in that direction so far, maybe your research will find something.

Meanwhile, most posts on this mailing list so far are about the latter. The innovations here are not often cutting-edge research when viewed as CS, but are useful in the context of people working with Sanskrit.

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[stuti singh]

Thank you for the clarification. Helped me a lot. 

And yes, you're right. 

But there is some research being taken place in UK, India, and the US for the former. 

It'll be a big leap if we're successful if anything else. 

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[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 8:18 AM stuti singh <singhs...@gmail.com> wrote:

https://indiaai.gov.in/article/fundamentals-of-nlp-research-in-sanskrit

Please read the above article and then we'll talk about this in detail. Want to get rid of that misconception first. 

Sorry to note that the "Solving distributional similarity as the first use case" section is quite wrong in so far as it talks about sanskrit. The author comes off as someone who has no clue that sanskrit is quite rich in words with ambiguous meanings. He should have opened a dictionary and taken a look. For example, हरि means viShNu, lion, monkey, and many more things.

The overarching goal seems to be to use sanskrit as a bridge between modern Indian languages and machines. ("The vision of this research is to ensure that 23 mother tongues and 1645 dialects spoken in India are also available to every Indian so that they can seamlessly communicate with the machines of the future.") That's a reasonable approach as long as one uses a highly constrained form of the language (eliminating euphonic combinations, strictly defining a semantic jargon to avoid word ambiguities) - perhaps motivated by the use of sanskrit as a natural intermediate when translating between various Indian languages.

This was the only "sanskrit for NLP" bit I found there - rest of it is NLP for sanskrit/ marathi/ hindI etc. (but interesting in their own right).

On Sat, May 22, 2021 at 8:39 AM stuti singh <singhs...@gmail.com> wrote:

But there is some research being taken place in UK, India, and the US for the former. 

Really? I've never heard of such research outside India, and would be obliged if someone could point me to such research. Some people make up stories about "NASA doing sanskrit research" - that's bogus.

 

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[stuti singh]

hey before passing such judgements why don't you go on and do some more detailed research on the subject. 

We're talking about lexical analysis and formal language construction here. 

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[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 9:56 AM stuti singh <singhs...@gmail.com> wrote:

hey before passing such judgements why don't you go on and do some more detailed research on the subject. 

Which "judgements" indicate to you that I'm talking about things I don't understand?  Since from the above you seem to think that you've done "some more detailed research on the subject", it would be helpful if you illustrate a gap in my understanding with specifics.

 

We're talking about lexical analysis and formal language construction here. 

Who's "we" here? I think I've understood the article, it's author and you quite well.

 

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[Lokesh Sharma]

😂 रमणीयं वार्तालापं जातम् बहुः कालानन्तरम्।

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[stuti singh]

The "we" over here, is everybody who considers the possibility of Sanskrit being used as a formal language to proceed with speech analysis, etc in NLP and AI. 

So it is not just the author and me, Sir. 

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[stuti singh]

With all due respect, Sir, I never said, "you didn't understand", what I did say was, to pass comments and judgments and putting in statements like "it is bogus", you really need to have the knowledge of the bits and pieces of NLP, AI, compiler construction and why has been Sanskrit considered a relevant solution in terms of coming up with an FL for future AI. 

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[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 12:47 PM stuti singh <singhs...@gmail.com> wrote:

With all due respect, Sir, I never said, "you didn't understand", what I did say was, to pass comments and judgments and putting in statements like "it is bogus", you really need to have the knowledge of the bits and pieces of NLP, AI, compiler construction and why has been Sanskrit considered a relevant solution in terms of coming up with an FL for future AI. 

I stand by every statement I made, stuti - and fear not, I've got the background you deem necessary above (which you can verify by Googling up my CV or profile :-) 

I'm open to being corrected, but it would be irresponsible of me to let false (bogus to be blunt) claims go unchallenged.

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[stuti singh]

why are you calling it bogus? 

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[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 4:36 PM stuti singh <singhs...@gmail.com> wrote:

why are you calling it bogus? 

It would help if you clearly and precisely restate the statement you're contesting, without me needing to ask you what you're referring to every time. I hope you're not talking about this one: "Some people make up stories about "NASA doing sanskrit research" - that's bogus."

 

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[Irene Galstian]

Stuti,

You are a new person to the group and may not know it well. Instead of starting off with confrontation, please consider for a moment the possibility that Vishvas is saying what he’s saying to help you. You sound like someone who is under the influence of certain unproductive assumptions and misinformation that you seem to have assimilated without cross-checking. Where did this stuff come from? Your professors? Classmates? Mass media? Is it not the time to find out what’s actually doable right now and how it’s doable? If you think it is, please consider listening to Vishvas carefully so you can gain valuable firsthand experience sooner rather than later. Have you not lost a bit of time already if you’re raising such questions at the end of your degree? 

Best of luck to you, however you choose to proceed. 

On 22 May 2021, at 12:06 pm, stuti singh <singhs...@gmail.com> wrote:



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[stuti singh]

Okay, let's start over. 

Apologies, I do not mean to raise confrontations here, more likely to learn than anything else. 

I'll try to understand, what went wrong in my research. 

please help me with from your end as well.

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[stuti singh]

Sir, no I was not exactly pointing to that. It was a general term used. I Apologize.

https://www.researchgate.net/publication/347909824_A_Review_on_various_approaches_in_Machine_Translation_for_Sanskrit_Language 

please read the article, it does make sense to me. 

Do share your views on the same.  

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[stuti singh]

https://www.researchgate.net/publication/295257888_Sanskrit_Machine_Translation_Systems_A_Comparative_Analysis

https://www.researchgate.net/publication/45923690_Fuzzy_Modeling_and_Natural_Language_Processing_for_Panini's_Sanskrit_Grammar

https://www.researchgate.net/publication/2477133_Natural_Language_Processing_A_Paninian_Perspective

https://www.researchgate.net/publication/258112919_A_Distributed_Platform_for_Sanskrit_Processing

https://www.researchgate.net/publication/334038089_Sanskrit_lemmatizer_for_improvisation_of_morphological_analyzer

[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 6:23 PM stuti singh <singhs...@gmail.com> wrote:

Sir, no I was not exactly pointing to that. It was a general term used. I Apologize.

https://www.researchgate.net/publication/347909824_A_Review_on_various_approaches_in_Machine_Translation_for_Sanskrit_Language 

please read the article, it does make sense to me. 

Do share your views on the same.  

My reaction is quite different (not going into the general listlessness and poor language ["silent features"]). It is banal in many of the correct statements it makes, self contradictory ("Sanskrit language  overcomes  all of  these hurdles" ... "There are different types of ambiguities..."), absurd at places ("GOOGLE TRANS- LATOR - Translation is provided only for Hindi, Urdu and San- skrit.") and ill supported elsewhere (" best  suited  natural  language  for  machine translation" - they have not considered any other language seriously, let alone highly structured conlangs).

About the only valuable thing in the paper is the tabulated list of machine translation systems. Otherwise, at best, their intuition that the relatively higher degree of well-analyzed structure in sanskrit makes it easier (not necessarily easiest) for machine translation input / output may be true - though IMO hype surpasses the degree to which it is true.

 

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[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Sat, May 22, 2021 at 6:26 PM stuti singh <singhs...@gmail.com> wrote:

https://www.researchgate.net/publication/295257888_Sanskrit_Machine_Translation_Systems_A_Comparative_Analysis

https://www.researchgate.net/publication/45923690_Fuzzy_Modeling_and_Natural_Language_Processing_for_Panini's_Sanskrit_Grammar

https://www.researchgate.net/publication/2477133_Natural_Language_Processing_A_Paninian_Perspective

https://www.researchgate.net/publication/258112919_A_Distributed_Platform_for_Sanskrit_Processing

https://www.researchgate.net/publication/334038089_Sanskrit_lemmatizer_for_improvisation_of_morphological_analyzer

YES - You can do research in *NLP for sanskrit* exploiting its structure. But: "Sanskrit for NLP" is of limited value. "Future of AI/ ML / MT etc.." does not hinge on Sanskrit.

 

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[Andrew Ollett]

I agree with Vishvas' evaluation of the research that has been referred to in this discussion, and I'd like to add one brief comment, relating especially to the Deshpande and Kulkarni paper (which appears not to have been copy-edited, much less peer-reviewed):

It is an elementary mistake, which ought to be corrected in a first-year linguistics or NLP class, to think that languages with relatively rich inflectional morphology are less "ambiguous" than languages with little inflectional morphology. If you think that Sanskrit is "unambiguous," you probably have not read any real Sanskrit texts. (I need not mention that, because of compounding, a Sanskrit sentence might actually have less overt marking of grammatical relations between words than an English or Chinese sentence!)

The "first wave" of "Sanskrit Computational Linguistics" focused on leveraging (a) Sanskrit's rich inflectional morphology and (b) the long and impressive history of grammatical analysis of the Sanskrit language to produce computer models of Sanskrit phonology and morphology (the work of Kulkarni, Huet, Patel, etc.). Arguably all of the questions that could be presented by a single word-form, such as how to identify its constituent morphemes, how to apply sandhi rules, what Pāṇinian rules are invoked, and in what sequence, to account for its derivation, etc. have been satisfactorily answered in this first wave, although further refinements are of course possible and desirable.

The "first wave" crashed when it came to units of large larger than the word. Rule-based approaches, which were the stock-in-trade of the first wave, fail to produce satisfactory results for undoing the sandhi or analyzing the samāsas of even simple sentences, to say nothing of relatively complex sentences, and to say nothing of generating (e.g.) dependency trees. Now it so happens that, if you are actually interested in Sanskrit literature, there are lots of questions that can't be answered (or even asked) with rule-based, word-based approaches. We need (a) statistical/machine-learning approaches, and (b) large amounts of tokenized, lemmatized, and dependency-graphed Sanskrit text. (Eventually we will have to introduce futher features, like genre, date, etc.) But here we have two huge bottlenecks: whereas those who have a knowledge of Sanskrit could be presumed to at least have had an acquaintance with rule-based derivational systems (since the Aṣṭādhyāyī is such a system), there is absolutely no reason to hope that readers of Sanskrit will know anything at all about machine-learning approaches; and whereas it takes somewhere between a few hours and a few weeks of learning Sanskrit to correctly identify individual word-forms, it takes many years of learning Sanskrit to correctly identify all of the dependency relations in a moderately complex Sanskrit sentence. The number of researchers who are active in this "second wave" is certainly in the single digits, and it might be no more than one or two. (It certainly does not include me.)

The "Sanskrit and NLP" literature has, with some important exceptions, largely avoided the really large tasks ahead of us, and has instead focused on "toy" projects like translating English into Sanskrit. (I don't mean to be dismissive of projects like that, from which we might learn something --- but I am not really sure what it is we'll learn, and in any case it won't help people read real Sanskrit texts.) To some degree that's because the problems really are difficult. But it's also due to a circumstance that I think Vishvas was alluding to: people can sometimes get excited about the "idea" of Sanskrit (for various reasons) without properly learning the language or spending a lot of time reading Sanskrit texts.

प्रकृतमनुसरामः । स्तुतिमहोदययौ स्वागतम् । अत्र च कार्येषु भवत्याः सहकारित्वं बहुमंस्यामहे ।

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[stuti singh]

Wow. Never paid attention to that! Different perspective. Thanks!

A lot to learn, indeed!🙏

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[stuti singh]

Yes Sir, at the moment, it is. But let's not discard the possibility of it happening in future, right.🙏

Thanks for the inferences. 

Will definitely learn a lot from you🙏

Apologies for the indifferent attitude shown earlier. 

Regards 

Stuti Singh

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[उज्ज्वल राजपूत]

But let's not discard the possibility of it happening in future, right.🙏

(English version follows Sanskrit text)

द्विवि॑धां म॒तिमि॒ह प्र॑स॒ङ्गेणाव॑धारयामि। एके॑ "व॒यं श्रेष्ठाः॑ स्म॒" इति॑ प्रथ॒मां दधा॑नाः क॒दाचि॒च्छङ्क॑माना॒ न वा॒ शङ्क॑माना आ॒त्मतु॑ष्टौ श्लाघा॒मार्ग॑णे च रमन्ते। अ॒न्ये "व॒यं श्रेष्ठाः॑ स्याम॒" इति॑ द्वि॒तीयां॒ दधा॑ना॒स्तद॑र्थं॒ विवि॑धैरुपा॒यैर्य॑तन्ते। अत्र॑ व॒यमित्य॒स्यात्मनः॑ कु॒लं, ग्रामः॑, सम्प्रदा॒यः, प्र॑दे॒शो, रा॒ष्ट्रं,  च॑ गृह्यन्ताम्। ये द्वि॒तीया॒स्ते सदस॑च्च स॒म्यग् द्रष्टुं॑ शक्नुवन्ति। ये तु प्र॑थ॒मास्तेषां॒ किं ब्रू॑याम्। क्ष॒या॒भि॒मु॒खा ए॒व त इति॑ वक्त॒व्य॑म्। यत् किमपि॑ भ॒द्रम॒स्मसु॒ तद॑धि॒कृत्या॒स्माकं॑ द्वि॒तीय॑वृत्तीनां पूर्व॒जानां॑ कृत॒ज्ञाः स्या॑म।

द्वि॒तीया॒ अपि॑ क॒दाचि॑द् अ॒न्येषा॑मव॒धाना॑य वित्तादिनिवे॒शमवा॑प्तुं चा॒त्मन॑ उत्क॒र्षं द॑र्शयेयुः। किन्तु तत्राप्र॑मत्ताः स्युः। आ॒त्मान॑मे॒व न मो॑हयेयु॒स्तेन॒ ह्य॑व॒ज्ञामे॒वावा॒प्स्यन्ति॒, न नि॑वे॒शम्। यदि॑ मा॒यया॒ संस्कृ॑तं भाषास॒ङ्गण॑ना॒योप॑युक्तं प्रतिपा॒दये॒स्तन्नू॒नं रा॑ष्ट्रभ॒क्तैर्ब॒हु मं॑स्यसे॒, न तु भार॑तं॒ जग॑ति॒ भूयां॑सं॒ मान॒मधि॑गमिष्यति।

द्वि॒तीय॑वृत्त॒योपि॑ प्रा॒येण॑ चि॒रम॑धी॒यमा॑नेषु विष॒येष्वनु॑रक्ता भवन्ति॒ यदि॒ दुर॑भिप्रायतमाः प्राच्यविद्याविशार॒दा न स्युः। तत॒स्तान् वि॑ष॒यान् उ॑त्त॒मान् आ॒त्मानं॑ च॒ तान् अ॑धीया॒नमपि॒ वरि॑ष्ठं॒ मन्य॑माना ई॒षत् प्र॑थ॒मयाच॑रन्ति। अ॒नु॒रा॒गो हि वि॑वे॒कं हर॑ति। स वि॑ष॒ये वा॒ स्याज्जने॑ वा॒ स्याद्रा॒ष्ट्रे वा॒ स्यात्। स च॑ सह॒जो३॒॑स्माकं॑ जातविका॒सेन॒ परि॑णतो॒ येन॒ प्राप्ते॒ धृतिं॒ मुदं॒ योगां॑श्च॒ लभा॑महे, स्वज॒नस्य॑ हि॒तं येन॑ कु॒र्मश्च॑। तस्याहि॑तमतिश॒यं विज्ञा॑तुं म॒तिश्चापि॒ परि॑णता।

अत्र॒ प्रसि॑द्धमि॒मं श्लोकं॑ विक्रि॒यया॑ पठामि-

अ॒स्माक॒मित्ये॒व न सा॒धु सर्वं॒, न चापि॒ सर्वं॒ पर॒मित्य॑व॒द्यम्।

सन्तः॑ प॒रीक्ष्या॒न्यत॑र॒द् भज॑न्ते, मू॒ढः प॑रप्रत्य॒यने॑यबुद्धिः॥

In this context I wish to say that there are people with two kinds of attitudes. One are those who think "we (here "we" can be taken to simultaneously mean a family, community, tradition, region, nation, etc.) are great" (1) with or without doubt and spend time convincing themselves and others that they really are. Others are who think "we need to be great" (2) and work for it through various means. The pursuers of (2) can possibly discriminate right and wrong. The believers of (1) on the other hand are, well, doomed. For all good we have got, we should be thankful to our ancestors who pursued (2).

Pursuers of (2) can also sometimes benefit by showing themselves superior in order to get attention and investment from outside. But they should be careful not to fool themselves so as to receive ridicule instead of investment. If by some trickery, you are able to demonstrate Sanskrit as a fitting language for general NLP, you shall certainly gain value among our nationalists, but India isn't going to gain any more respect in the world.

Pursuers of (2) also often get attached to the subjects that they have been involved with for a long time (but not, for example, when they have ulterior motives). Subsequently they hold their subjects in high degree and start acting somewhat on the lines of (1), because attachment clouds our vision, whether it is towards a subject, person, or nation. It is an instinct that we get from evolution. It motivates us to concentrate on, enjoy and utilize whatever we are engaged with, and to benefit our own people. But we have also got, through evolution, our brains to realize when this attachment is doing more harm than good.

Here I present an altered form of a famous śloka-

अ॒स्माक॒मित्ये॒व न सा॒धु सर्वं॒, न चापि॒ सर्वं॒ पर॒मित्य॑व॒द्यम्।

सन्तः॑ प॒रीक्ष्या॒न्यत॑र॒द् भज॑न्ते, मू॒ढः प॑रप्रत्य॒यने॑यबुद्धिः॥

[stuti singh]

🙏

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[Lokesh Sharma]

हरि ओँ

उज्जवल जी भवतः अनुमतिः अस्ति चेत् अहम् भवतः वक्तव्यम् share कर्तुं शक्यते किम् भवतः नाम्ना सह।

एकः अन्यः प्रश्नः अस्ति। कथं भवता उदात्त अनुदात्तः इत्यादि स्वरेण सह लिखितः।

सर्वे भवन्तु सुखिनः।।

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[उज्ज्वल राजपूत]

हरि ॐ लोकेश जी,

अ॒द्य पुनः॒ पठ॑ने॒ कानि॑चिच् छि॒द्राणि॑ पश्यामि। भा॒षा॒प्र॒यो॒गे (eg. high order) च॑ वचना॒र्थेषु॒ चापि॑। न खलु॑ प्रसा॒राय॒ योग्य॑मि॒दानी॑म्। तथापि॒ यदि॑ प्रसार॒णीय॑मे॒व तर्हि॑ आत्मयु॒क्त्या स॒म्पाद्य॒ भवा॒न् स्वेनै॒व नाम्ना॒ प्रसा॑रयतु।

यत्तु स्व॒रम् प्रति॑ पृ॒ष्टं, तत् स॑मूहान्त॒रे भा॑रतीयविद्वत्परि॒षदि॒ नामे॒दं प॑ठतु। वि॒श्वा॒स॒म॒हो॒द॒येनापि॒ केचि॑न्निय॒मा अत्र॒ सङ्गृ॑हीताः।

[उज्ज्वल राजपूत]

छि॒द्र॒कथ॒नेपि॑ छि॒द्रम्!

*high degree

सोमवार, 24 मई 2021 को 7:32:54 am UTC+5:30 बजे उज्ज्वल राजपूत ने लिखा:

[विश्वासो वासुकिजः (Vishvas Vasuki)]

भो राजपुत्रवरोज्ज्वल! भोजदेवस्मारक! तव सस्वरं लेखनम् पाठम् पाठम् मुदम् अवाप्नोम्य् अफल्गुम्। तव सस्वरलेखनान्य् एकत्र सङ्गृहीतुं कष्टङ् कुरु, येनास्माकं शुद्धसस्वरभाषणकाङ्क्षिणां स्यान् महान् अनुग्रहः (https://trello.com/c/0g8gpuDe/51-svara-generator इत्यादेर् अपि निर्माणे प्रयुज्येत) ।

किञ्च, मन्ये प्रस्तुते श्लोके स्वराङ्कनं छन्दोगतिं विरुणद्धि। पद्योच्चारणे गीते च स्वरव्यत्यय इष्टः।

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[उज्ज्वल राजपूत]

किञ्च, मन्ये प्रस्तुते श्लोके स्वराङ्कनं छन्दोगतिं विरुणद्धि। पद्योच्चारणे गीते च स्वरव्यत्यय इष्टः।

आम्। गी॒तेषु॑ विशे॒षतो॒ या म॑धु॒रता॑ प्राकृतद्रवि॒डादि॑षु॒ सा संस्कृ॒तेपि॑ स॒ती स्व॒रेण॑ हन्यते। स्व॒रेणापि॑ गी॒तानि॑ भ॒द्रं श्रू॒येर॒न्निति॑ स्वरानुरो॒धेन॑ प॒दानि॑ योज॒नीया॑नि॒ यथा॒न्यासु॑ सस्वरभा॒षासु॑ क्रि॒यते॑।

[Lokesh Sharma]

हरि ॐ

नमस्ते उज्ज्वल जी

कृतज्ञः अस्मि।

🙏

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[उज्ज्वल राजपूत]

(https://trello.com/c/0g8gpuDe/51-svara-generator इत्यादेर् अपि निर्माणे प्रयुज्येत)

अ॒स्य कृ॒त इ॒दानी॒मुप॑लब्धानि उप॒कर॑णानि॒ कानि॑ सन्ति? स॒मा॒स॒वि॒ग्र॒हाय॑, तत्प्रकार॒ज्ञाना॑य॒ किम॑स्ति?

[विश्वासो वासुकिजः (Vishvas Vasuki)]

On Mon, May 24, 2021 at 8:27 AM उज्ज्वल राजपूत <ujjwal....@gmail.com> wrote:

(https://trello.com/c/0g8gpuDe/51-svara-generator इत्यादेर् अपि निर्माणे प्रयुज्येत)

अ॒स्य कृ॒त इ॒दानी॒मुप॑लब्धानि उप॒कर॑णानि॒ कानि॑ सन्ति? स॒मा॒स॒वि॒ग्र॒हाय॑, तत्प्रकार॒ज्ञाना॑य॒ किम॑स्ति?

https://github.com/kmadathil/sanskrit_parser इति॑ यु॒क्तं स्या॑त्। स॒मा॒स॒प्र॒का॒रा॒व॒बो॒धस् तु॒ न स्या॑त् - किन्तु द॒त्ते वा॒क्ये याव॑ताम् प॒दानां॑ स्व॒रा॒ङ्क॒नं श॒क्यम्, तेषा॑म् अप्य् अ॒ङ्क॒नेन॑ महा॑न् ला॒भः।

 

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