मराठी भाषा वाचविण्याचा एक प्रयास. इंग्रजी ते मराठीचा शब्दकोश. An attempt to preserve the Marathi language. A lightweight and ad free English to Marathi thesaurus.

Overview

For English, scroll down

मराठी शब्द

मराठी भाषा वाचवण्यासाठी मी हा ओपन सोर्स प्रोजेक्ट सुरू केला आहे.

माझ्या मते, आपली भाषा हळूहळू आणि कोणाचाही लक्षात न येता एका मृत भाषेच्या दिशेने वाटचाल करत आहे. या उपक्रमात सगळ्यांचे स्वागत आहे, ज्यांना कोणाला हा एक गंभीर विषय वाटतो व त्यात काही सुधारणा करण्याची गरज आहे असे वाटते.

अगदी सोप्या रीतीने सांगायचं झाला तर खालील उदाहरण पहा -

१. मराठी वाक्यांमधील इंग्रजी शब्दांचा जास्त आणि अनावश्यक वापर.

  • अयोग्य - "फार bore झालंय. चला एखादा picture बघूया."
  • योग्य - "फार कंटाळा आलाय. चला एखादा चित्रपट बघूया. "

२. देवनगरीऐवजी लॅटिन अक्षरे वापरुन मराठी टायपिंग / लिहिणे

  • अयोग्य - "me tujhya sobat marathi bolat ahe."
  • योग्य - "मी तुझ्या सोबत मराठीत बोलत आहे."

अधिक माहितीसाठी खालील इंग्रजी मजकूर वाचा. आपण सॉफ्टवेअर अभियंते जरी नसाल तरीही आपण योगदान करू शकता.

योगदान करण्यासाठी

१. "Github" वर आपले खाते बनवा

२. "Discussions" पृष्ठावरील आपल्या कल्पना, टिप्पण्या इ. वर चर्चा करा.

Marathi shabd

About

This project is being developed as a part of an effort to help save the Marathi language from its gradual and unnoticeable decline into a dying language.

Goal


(This is the goal of the overall idea and not just this project.)

Revive the usage of Marathi language in its original/unadulterated form in day-to-day life in both spoken and written medium.

How to do it?


  1. Make people realise that these problems exist
  2. Motivate them to work towards fixing it
  3. Provide them with resources (this project basically is a part of this step)
  4. Ask them to do actually implement this in their daily life

This will be done with a combination of videos, blogs and software tools such as this. (Contributions in all these are welcome.)

Overview of this project

The idea is to have a static website (ad free, bloat free and fast) where people, looking to improve their Marathi vocabulary, can search for an English word/phrase and quickly find its Marathi equivalent, and also usage example wherever possible.

Words can also be categorised into various topics (tags) so that words used in same context can be found together to improve the vocabulary those particular topics. More features can be added in the future, if necessary.

So basically it will be an ad-free and fast English-to-Marathi thesaurus for day-to-day words with some additonal features.

Development and contribution

It is currently in its very initial stage where I am conceptualising it and looking for contributors (developers as well as people well versed in the Marathi language).

Some places to do contributions

  • Database update - adding English words with Marathi equivalents
  • Static website creation - Basically parsing the database and creating an output markdown file with all the content. This file will be used on the github.io static website page.
    • note - I would particularly like help in this area as it is new to me as well.
  • Adding/correcting content in Marathi language to this project's documentation (readme, website pages etc.)

(This is the current plan and can be improvised.)

Please suggest your ideas, comments etc. in the "Discussions" page.

I also have in mind quite a few other ideas related to creating resources in Marathi language, which I plan to start once I have this project's website first ready at some usable level.

What is the need to do this?

As I see it, there 2 main problems which are explained below -

  1. Excessive use of English words in Marathi sentences.

Simply stated this is using a lot of English words in our sentences where we could easily use Marathi words. Example -

  • Not OK - "फार bore झालंय. चला एखादा picture बघूया."
  • OK - "फार कंटाळा आलाय. चला एखादा चित्रपट बघूया. "

The direct consequence of this is that we are loosing our grip on the Marathi vocabulary. And this problem is ever growing like a snowball, which needs external force and motivation to fix it. This problem exists in both the spoken as well as the written form. Also while this is particularly serious in the urban population, it may also expand to rural areas as the reach of English schools and the internet widens.

This project currently is for working on the above problem only.

  1. Typing/writing Marathi using the Latin alphabet instead of Devanagari.

This is basically typing Marathi like this

  • Not OK - "me tujhya sobat marathit bolat ahe."
  • OK - "मी तुझ्या सोबत मराठीत बोलत आहे."

This problem is something that I feel should not exist in today's date, as we now have good keyboards for typing in Marathi using Devanagari on all platforms be it mobile or computers. However it continues to exist, as people find it easier to type using Latin alphabet on the qwerty keyboard.

Owner
मुक्त स्त्रोत
मुक्त स्त्रोत
Machine translation models released by the Gourmet project

Gourmet Models Overview The Gourmet project has released several machine translation models to translate low-resource languages. This repository conta

Edinburgh NLP 5 Dec 08, 2021
Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time.

Wordle_Bot Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time. It will log onto the wordle website and en

Lucas Polidori 15 Dec 11, 2022
It analyze the sentiment of the user, whether it is postive or negative.

Sentiment-Analyzer-Tool It analyze the sentiment of the user, whether it is postive or negative. It uses streamlit library for creating this sentiment

Paras Patidar 18 Dec 17, 2022
ConvBERT: Improving BERT with Span-based Dynamic Convolution

ConvBERT Introduction In this repo, we introduce a new architecture ConvBERT for pre-training based language model. The code is tested on a V100 GPU.

YITUTech 237 Dec 10, 2022
Repository for the paper "Optimal Subarchitecture Extraction for BERT"

Bort Companion code for the paper "Optimal Subarchitecture Extraction for BERT." Bort is an optimal subset of architectural parameters for the BERT ar

Alexa 461 Nov 21, 2022
COVID-19 Chatbot with Rasa 2.0: open source conversational AI

COVID-19 chatbot implementation with Rasa open source 2.0, conversational AI framework.

Aazim Parwaz 1 Dec 23, 2022
Use the state-of-the-art m2m100 to translate large data on CPU/GPU/TPU. Super Easy!

Easy-Translate is a script for translating large text files in your machine using the M2M100 models from Facebook/Meta AI. We also privide a script fo

Iker García-Ferrero 41 Dec 15, 2022
This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

EleutherAI 42 Dec 13, 2022
The official implementation of "BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?, ACL 2021 main conference"

BERT is to NLP what AlexNet is to CV This is the official implementation of BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Iden

Asahi Ushio 20 Nov 03, 2022
Document processing using transformers

Doc Transformers Document processing using transformers. This is still in developmental phase, currently supports only extraction of form data i.e (ke

Vishnu Nandakumar 13 Dec 21, 2022
This project converts your human voice input to its text transcript and to an automated voice too.

Human Voice to Automated Voice & Text Introduction: In this project, whenever you'll speak, it will turn your voice into a robot voice and furthermore

Hassan Shahzad 3 Oct 15, 2021
translate using your voice

speech-to-text-translator Usage translate using your voice description this project makes translating a word easy, all you have to do is speak and...

1 Oct 18, 2021
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

English|简体中文 ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框架,该框架将大数据预训练与多源丰富知识相结合,通过持续学习技术,不断吸收海量文本数据中词汇、结构、语义等方面的知识,实现模型效果不断进化。ERNIE在累积 40 余个典型 NLP 任务取得 SOTA 效果,并在 G

5.4k Jan 03, 2023
Using Bert as the backbone model for lime, designed for NLP task explanation (sentence pair text classification task)

Lime Comparing deep contextualized model for sentences highlighting task. In addition, take the classic explanation model "LIME" with bert-base model

JHJu 2 Jan 18, 2022
skweak: A software toolkit for weak supervision applied to NLP tasks

Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels wi

Norsk Regnesentral (Norwegian Computing Center) 850 Dec 28, 2022
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

CRNN paper:An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 1. create your ow

Tsukinousag1 3 Apr 02, 2022
Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021.

capbot-siic Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021. Problem Inspiration A plethora

Aryan Kargwal 19 Feb 17, 2022
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.

New State-of-the-Art in Preposition Sense Disambiguation Supervisor: Prof. Dr. Alexander Mehler Alexander Henlein Institutions: Goethe University TTLa

Dirk Neuhäuser 4 Apr 06, 2022
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Welcome to AdaptNLP A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models

Novetta 407 Jan 03, 2023
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers

Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers

Pulkit Kathuria 173 Jan 04, 2023