Skip to main content

Can "Ancient language Sanskrit finds new relevance in the age of AI"?



In recent years, there has been a growing interest in the application of natural language processing (NLP) in artificial intelligence (AI) and machine learning (ML). One language that has garnered particular attention is Sanskrit, an ancient language of the Indian subcontinent that has a rich literary and cultural history. So, why is Sanskrit useful in AI? As, Sanskrit has a well-defined grammar and syntax: One of the challenges in NLP is dealing with the ambiguity and variability of human language. However, Sanskrit has a well-defined grammar and syntax that has been codified in ancient texts such as the Panini's Ashtadhyayi. This makes it an ideal language for developing algorithms and models that can accurately analyze and understand the structure of language. Sanskrit has a large corpus of literature: Sanskrit has a rich literary tradition spanning over several thousand years, with a vast collection of texts covering various subjects such as philosophy, science, mathematics, and more. This makes it an excellent language for developing language models and training algorithms, as there is a large corpus of texts available for analysis and learning. Sanskrit has a high degree of expressivity: Sanskrit is a highly expressive language, with a vast vocabulary and a sophisticated system of prefixes and suffixes that can convey a great deal of information in a compact form. This makes it an ideal language for developing natural language generation (NLG) systems that can generate human-like responses to user queries. Sanskrit can provide insights into linguistic universals: Sanskrit is a highly structured language with a well-defined grammar and syntax, which makes it an ideal language for studying linguistic universals – the common patterns and structures that underlie all human languages. By analyzing the structure of Sanskrit, researchers can gain insights into how language works and how humans process and understand language. 

Moreover, Sanskrit is a language that has a lot to offer to the field of AI and NLP. Its well-defined grammar and syntax, large corpus of literature, high degree of expressivity, and potential insights into linguistic universals make it an ideal language for developing algorithms, models, and systems that can accurately analyze and understand human language. As AI and NLP continue to advance, it is likely that Sanskrit will play an increasingly important role in these fields.



Comments

Popular posts from this blog

Google Quantum AI Takes Step Towards climbable Quantum Error Correction

Google Quantum AI has taken a significant step forward in the development of scalable quantum error correction, according to a new study published by the company. Quantum computers are prone to errors due to noise from the underlying physical system, which must be reduced for quantum computers to achieve their potential. One way to address this is through error-correcting codes, which use an ensemble of physical qubits to form a logical qubit that can detect and correct errors without affecting information. However, scaling up such systems means manipulating more qubits, which can introduce more logical errors. To address this challenge, the Google team demonstrated that a surface code logical qubit can lower error rates as the system size increases. They created a superconducting quantum processor with 72 qubits and tested it with two different surface codes: a distance-5 logical qubit on 49 physical qubits and smaller ones called distance-3 logical qubits on 17 physical qubits. The l...

A New Researcher Develop an Economic Fabrication Technology for Carbon Nanotube-Based Composite Carbon Fibers

Carbon fibers are known for their exceptional mechanical properties, including high strength, stiffness, and resistance to deformation, making them highly sought after in various industries. Carbon nanotubes are known to further enhance these properties, but commercializing them has been challenging due to the high cost of production.  However, a recent study proposes a solution to this problem by developing an economic fabrication technology for carbon nanotube-based composite carbon fibers. The researchers focused on the use of a liquid crystalline wet-spinning process to produce polymer-carbon nanotube composite fibers that are highly oriented and possess superior modulus, strength, and electrical conductivity. The solvent used in this process is camphorsulfonic acid (CSA), which has extremely high acidity and readily protonates aromatic hydrocarbons. This allowed for the hybridization of CNTs and the polymer without the need for physical or chemical treatment. High-performance ...

How to install siesta(DFT code) in ubuntu?

  Required libraries to download Siesta-4.1-b4.tar  (Try to download upgrade version) with some package ● lapack-3.8.0.tar.gz ● libgridxc-0.8.4.tar ● Xmlf90-1.5.4.tar.gz ● hdf5-1.8.21.tar.bz2 ● hdf5-1.10.4.tar.gz ● netcdf-c-4.6.1.tar.gz ● netcdf-c-4.6.2.tar.gz ● netcdf-fortran-4.4.4.tar.gz ● zlib-1.2.11.tar.gz Steps to install siesta ●First extract the siesta tar file. ●Then through the terminal go to Obj of siesta folder. (i.e$obj ) ● $sh ../Src/obj_setup.sh ● Type $cp gfortran.make arch.make ● Type ls, then we saw arch.make file inside obj folder of siesta. ● Finally, type $make Then we got siesta executable inside Obj folder which is ready to run. https://youtu.be/EI1vuPfeLPs