N-grams Kya Hai?

 

N-grams Kya Hai?

N-grams ek Natural Language Processing (NLP) concept hai jisme kisi text (jaise sentence ya paragraph) ko N number ke shabdon ya aksharon ke group me divide kiya jaata hai.

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✅ Simple Hindi Definition:

N-grams ka matlab hai — lagataar aane wale N shabdon (ya aksharon) ka group.

• N = 1 → Unigram (ek shabd ka group)

• N = 2 → Bigram (do shabdon ka group)

• N = 3 → Trigram (teen shabdon ka group)

• N = 4 → 4-gram (chaar shabdon ka group)
  ...and so on.

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🧠 Example (Sentence):

Text: "I love ice cream"

N	N-gram Type	Output Example
1	Unigrams	I, love, ice, cream
2	Bigrams	I love, love ice, ice cream
3	Trigrams	I love ice, love ice cream

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📚 N-grams Kis Cheez Me Use Hote Hain?

Use Case	Explanation
✅ Text Prediction	Keyboard auto-suggestion, e.g., "How are → you"
✅ Spell Checking	“Teh” vs “The” detection
✅ Search Engine Ranking	Keywords ka context samajhne ke liye
✅ Sentiment Analysis	Emotional tone samajhne ke liye
✅ Plagiarism Detection	Same word patterns ko pakadne ke liye
✅ Voice Assistants	Sentence structure predict karne ke liye

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🛠️ N-grams Kaise Generate Karte Hain? (Basic Algorithm)

python
def generate_ngrams(text, n):
    words = text.split()
    ngrams = []
    for i in range(len(words)-n+1):
        ngram = words[i:i+n]
        ngrams.append(" ".join(ngram))
    return ngrams

print(generate_ngrams("I love ice cream", 2))
# Output: ['I love', 'love ice', 'ice cream']

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🧩 Character-Level N-grams:

Yeh shabdon ke bajaye aksharon ke group banata hai.

Example:
Text: "chat"
Bigrams (N=2): ch, ha, at
Trigrams (N=3): cha, hat

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🎯 N-grams Kyu Useful Hain?

Fayda	Kya Hota Hai?
✅ Language samajhne me help karta hai	Context build hota hai
✅ Spam detection, machine translation me kaam aata hai	NLP tasks ke liye base hai
✅ SEO keyword research me help karta hai	Keyword clusters banane me madad milti hai