Hindi-TED

I, Vivek Tripathi, am student of Diploma course in translation and in PGDT-1 course book (Page no. 43), it's written that "each word has different cultural background and hence it's important to choose right-kind of word in different translations". My innovation Hindi-TED is one practical-result of this principle.

Similarly, my motivation for developing Hindi-TED grew higher when I was doing my PGDT-5 assignment and there were chapters on literature, science, agriculture, sports etc. and the same word were changing its behavior on basis of cultural context, for example :-

Hence, I collaborated with many govt. translators to create popularity scale of words, based on CEF (Central European Framework) language-scales, as :-

• Level 1 – the most spoken word (basic level)

• Level 2 – the literature word (mid- advance level)

• Level 3 – the literature word (advance level)

My app idea gives sentence-examples and all possible word meanings to bridge the gap of word and cultural context. This Application provides Hindi learners (non-native), Hindi Translators and Hindi Students – a common app to solve their language query.

Hindi TED refers to “learning Hindi through Translation, Example & Dictionary”. Hindi TED specifically disrupts the way we use our dictionary. It solves 3 kinds of problems for respective 3 users:-

The ideation of the app mainly came from my PGDT assignment. When I was doing it, I realized that there are lots of the words which change their contextual meaning according to the context I am talking. For example, a sample from my assignment only:-

Also a second case that being a Hindi language enthusiast, I dedicate lot of time doing activities related to the Hindi language. In my teaching, one of the aspects is spoken Hindi language training. While doing the same, a most common problem which arises from all of my students is that they are keen towards learning the language, but not the technical-words of Hindi but the most common/most popular Hindi words. One hypothetical solution would be to take a dictionary and underline each and every popular word, which is totally unrealistic and cumbersome.

Conclusive Remarks- Every word has its contextual meaning. So, how to pre-understand the context (background) of words before using it, and how to know the most spoken words of the Hindi or any other language?

Thanks to "Student Innovation Award-2019" by NCIDE, IGNOU which motivated me to go beyond my abilities and do android programming to see my app (Hindi-TED) coming in the market to solve the problem mentioned above.

So, I myself designed the app and did the development (coding) for minimal possible design. It doesn't look heavily furnished with very smart design to grab attentions, but serve my functionality/purpose of making it.

My goal was not to just create dictionary app by compiling all words into the app, as this has been done by Oxford and many such reputed organization. I was thinking one step ahead of it. I was looking for an app which can serve any Hindi- user segment to solve all query they might have with the language viz. lexical content, non-lexical content, fugative/denotative meanings and contextual examples. Hence the roadmap was created and it served as blue-print of our idea which looks like this, in brief-way :-

The android app has just 1 search bar where you can voice-search, text search or search through camera- any English or Hindi Words, as shown in figure below :-

My app is free-of-cost for its users.

I am looking to have a business deal with private vendors of dictionaries. For Example, Shabdkosh (Hindi) or Oxford dictionaries (English and Hindi both) are some examples who have their online-sites and I am working on functionality to provide their dictionary-content in my app and generating paid-leads to their website.

This B-model will help me to keep my app into survival and if it will not work, I will go for Ad based B-model. Some of the preferred ad types which I am planning to incorporate are :-