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Update README.md

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@@ -13,7 +13,7 @@ Use this application on HuggingFace🤗 :- https://huggingface.co/spaces/Debasis
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  Blog discussing the results :- https://medium.com/@debasishdhaldd99/simplifying-language-through-python-aae6ee7113d9
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- This space is aimed at helping people with getting familiarized with Polish, Turkish, Hungarian, Serbian (both Latin and Cyrillic based), Croatian and Bosniak spelling system.
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  These languages use a modified Latin script with a lot of diacritic marks and digraphs, thus making them difficult for non-native speakers to pronounce or read the words
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  properly. This space offers simplified spelling of words/sentence in the said languages. More languages are on the pipeline.
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@@ -24,7 +24,7 @@ The approach for transliterating Polish language taken in this space is converti
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  simplifying our task greately.
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  Features added as of now:-
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- - Polish, Turkish, Hungarian, Serbo-Croatian-Bosnian language added.
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  - Option for the user to choose any of the 3-4 examples available and pass it as input to the model.
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  - Option for the user to generate a random but coherent sentence and pass it as input to the model. Acts as a nice playground for the user.
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  Blog discussing the results :- https://medium.com/@debasishdhaldd99/simplifying-language-through-python-aae6ee7113d9
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+ This space is aimed at helping people with getting familiarized with Polish, Turkish, Hungarian, Serbo-Croatian-Bosniak (both Latin and Cyrillic based) and Romanian spelling system.
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  These languages use a modified Latin script with a lot of diacritic marks and digraphs, thus making them difficult for non-native speakers to pronounce or read the words
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  properly. This space offers simplified spelling of words/sentence in the said languages. More languages are on the pipeline.
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  simplifying our task greately.
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  Features added as of now:-
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+ - Polish, Turkish, Hungarian, Serbo-Croatian-Bosnian, Romanian language added.
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  - Option for the user to choose any of the 3-4 examples available and pass it as input to the model.
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  - Option for the user to generate a random but coherent sentence and pass it as input to the model. Acts as a nice playground for the user.
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