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Bridging the Knowledge Gap: Hindi Wikipedia's Transformation

Improving Hindi Wikipedia to enrich knowledge access for Hindi speakers.

Paramita Das, Amartya Roy, Ritabrata Chakraborty, Animesh Mukherjee

― 5 min read


Transforming Hindi Transforming Hindi Wikipedia accessibility. A framework to enhance Hindi content
Table of Contents

Wikipedia is a treasure trove of information, but there’s a catch: not all languages are treated equally. While English Wikipedia boasts millions of articles, Hindi Wikipedia lags behind significantly. It’s like having a huge library filled with books in one language, while another language’s section is barely stocked. This situation creates barriers for Hindi speakers seeking knowledge. Our mission? To improve the flow of information from English to Hindi Wikipedia, making it as easy as pie for everyone to access valuable content.

The Problem

The digital world is a feast of facts, but many people face an information divide. For instance, Hindi Wikipedia has just about 163,000 articles compared to the whopping 6.8 million available in English. It's like a desert in a bustling city. This leaves Hindi speakers wanting. Often, crucial topics and notable individuals are missing from LRLs (low-resource languages) like Hindi due to fewer contributors. Picture this: a world-renowned scientist gets a mention in English but is nowhere to be found in Hindi!

The Need for Change

This shortage of content means that Hindi speakers are missing out on vital information. Additionally, when articles do exist in both languages, they can vary greatly. Sometimes the cultural nuances don't translate well. It's like trying to enjoy a dish in a different restaurant—sometimes the flavors just don’t match up. To tackle this issue, we need to ensure that quality content flows smoothly between languages.

Our Approach

We devised a straightforward framework aimed at leveling the playing field. Here’s how it works:

  1. Harvesting Knowledge: We take up-to-date English articles that are knowledge-rich and translate them into Hindi. If an English article is outdated, we spice it up by extracting relevant details from trustworthy sources like books.

  2. Machine Translation: Once we gather all the relevant info, we use machine translation to convert English content into Hindi. Think of it as a friendly translator helping two friends communicate.

  3. Evaluating Quality: Our goal is to ensure that the new Hindi content is of the same caliber as its English counterpart. We use a two-pronged evaluation approach, assessing it through automated processes and human reviewers. If it doesn’t meet the mark, we tweak it until it shines.

  4. Keeping it Neutral: Since Wikipedia is known for its neutral stance, we make sure to filter out any subjective language so that the content remains impartial. No opinions, just the facts!

The Impact

We ran some tests and found that our framework significantly improved the quality of Hindi Wikipedia articles. On average, we enhanced the content by 65% based on automatic assessments and 62% according to human judgments. That’s like turning a bland dish into a gourmet meal!

Challenges We Face

Of course, this journey isn’t without its bumps. There are challenges in ensuring that the content transferred is not only accurate but also relevant. We have to sift through a lot of material and sometimes, it’s like searching for a needle in a haystack. Our goal is to bridge the gaps while ensuring that the content remains culturally appropriate. We don’t want to serve up something that doesn’t resonate with Hindi speakers.

Collecting the Right Content

To improve Hindi Wikipedia, we need relevant information—like gathering nice ingredients for a recipe. We focused on biographies since they often follow similar structures across languages. We sifted through a collection of biographies in English and Hindi, leveraging resources available in online libraries to enrich our articles.

  1. Gathering Resources: We found a plethora of biographical writings to pull from. These writings serve as a rich source of information, much like a well-stocked pantry.

  2. Verifying Information: We ensured that the collected information was verified for quality. After all, who wants spoiled ingredients in their dish?

Making It Work

Our framework functions in several stages:

  1. Identifying Sections: We matched English and Hindi sections based on their content. Think of it as a buddy system where we pair up friends who have similar interests.

  2. Translating Content: The matched English content is then translated into Hindi. We make sure to pick the best translations to ensure there are no awkward phrases that confuse the reader.

  3. Adding New Information: For articles that need a boost, we extract details from external sources and integrate them into the existing articles. It’s like adding a dash of spice to keep things interesting!

  4. Refining Content: We check for biases and ensure that the content aligns with Wikipedia’s neutral tone. We don’t want any one-sided debates sneaking into our articles.

The Results

After implementing our framework, it became clear that our approach worked wonders. We evaluated the newly generated Hindi content and found it informative, readable, and coherent. The human reviewers gave high marks, showing that the effort paid off.

Conclusion

Our lightweight framework fosters knowledge sharing between English and Hindi Wikipedia. By improving content quality, we are ensuring that Hindi speakers have access to the same wealth of information that English speakers enjoy. This initiative not only benefits individuals looking for information but also strengthens the Hindi-speaking community’s engagement with Wikipedia.

In the end, it’s all about breaking down barriers and making knowledge accessible to everyone—because who doesn’t love a good story, no matter the language? So here’s to bridging the knowledge gap, one article at a time!

Future Prospects

Looking ahead, we aim to refine our methods and explore new avenues for enriching content. The goal is to include more diverse voices and topics, ensuring that even the lesser-known figures get their moment in the spotlight. If we keep our focus on quality and collaboration, the future of multilingual Wikipedia can be as bright as a sunny day!

A Light-hearted Note

In the great buffet of knowledge, we just want to make sure that everyone gets a tasty slice! After all, knowledge is like pie—it's meant to be shared, enjoyed, and savored by all. So, grab a fork and dig in!

Original Source

Title: On the effective transfer of knowledge from English to Hindi Wikipedia

Abstract: Although Wikipedia is the largest multilingual encyclopedia, it remains inherently incomplete. There is a significant disparity in the quality of content between high-resource languages (HRLs, e.g., English) and low-resource languages (LRLs, e.g., Hindi), with many LRL articles lacking adequate information. To bridge these content gaps, we propose a lightweight framework to enhance knowledge equity between English and Hindi. In case the English Wikipedia page is not up-to-date, our framework extracts relevant information from external resources readily available (such as English books) and adapts it to align with Wikipedia's distinctive style, including its \textit{neutral point of view} (NPOV) policy, using in-context learning capabilities of large language models. The adapted content is then machine-translated into Hindi for integration into the corresponding Wikipedia articles. On the other hand, if the English version is comprehensive and up-to-date, the framework directly transfers knowledge from English to Hindi. Our framework effectively generates new content for Hindi Wikipedia sections, enhancing Hindi Wikipedia articles respectively by 65% and 62% according to automatic and human judgment-based evaluations.

Authors: Paramita Das, Amartya Roy, Ritabrata Chakraborty, Animesh Mukherjee

Last Update: 2024-12-07 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.05708

Source PDF: https://arxiv.org/pdf/2412.05708

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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