What is natural language processing? NLP in AI and why Arabic makes it matter
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The short answer
Natural language processing turns people's words into meaning a computer understands: that «بكام», «كم السعر» and «السعر لو سمحت» are one question, and that «عايز», «أبغى» and «بدي» mean the same thing. Machine translation, speech-to-text and bots that understand a free-form question rather than buttons alone all rest on it.
Also asked as: «معالجة اللغة الطبيعية يعني ايه» · «معالجة اللغة الطبيعية في الذكاء الاصطناعي» · «معالجة اللغة الطبيعية nlp»
Why does Natural language processing matter to a seller?
Because your customers do not write in Standard Arabic: they write in their dialects, in Franco, with spelling mistakes, and they send voice notes. A bot that does not understand that repeats the same menu until the customer leaves.
Natural language processing in ArabyBot
ArabyBot's AI employee understands Egyptian, Gulf, Levantine and Franco Arabic, and understands voice notes and answers them in text. The bot and Arabic dialects · The bot and voice notes.
Frequently asked questions
What is the difference between NLP and generative AI?
NLP is the field of understanding language, while generative AI is a kind of model that writes new text; modern generative models are among NLP's strongest tools.
Why is Arabic harder?
Because words change with prefixes and suffixes, every country has its dialect, diacritics are usually missing, and many people write in Latin letters.
Related terms
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