Examples of using Natural language processing in English and their translations into Arabic
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Computer
Natural Language Processing.
Machine Learning Natural Language Processing.
Natural Language Processing.
However GrabzIt can by using it's built in natural language processing abilities.
Natural Language Processing.
Her main research interests, since the late 1950s, were natural language processing and information retrieval.
Natural Language Processing(NLP).
Automatic segmentation is the problem in natural language processing of implementing a computer process to segment text.
Natural Language Processing techniques to quantify quality.
Artificial Intelligence Machine Learning- Deep Learning-Logic-based AI- Natural Language Processing Robotics.
Deep Natural Language Processing.
It is usually used in several types of applications such as natural language processing, information retrieval, and text mining.
AI Natural Language Processing.
CTAKES was built using the UIMA Unstructured InformationManagement Architecture framework and OpenNLP natural language processing toolkit.[2][3].
Understand Natural Language Processing.
Generative models of formal linguistics, such as Head-driven phrase structure grammar(HPSG),are today widely used in natural language processing.
ISE. NLP- Natural Language Processing.
For creating a good chatbot,you would need to know a programing language, some natural language processing rules to make your chatbot“intelligent”.
Natural Language Processing- Computer and Information Sciences.
The platform allows researchers to generate new hypotheses with the help of dynamic visualizations,evidence-backed predictions and natural language processing trained in the life sciences domain.
Natural Language Processing Computer Vision Robotics Bioinformatics.
Her scholarly work is on multidisciplinary research in Natural Language Processing, which involves incorporation of English, Sanskrit and computer languages. .
Natural Language Processing(NLP) lets the Chatbot learn and relieves repetitive tasks.
Unparalleled Expertise- 15+ years' experience successfully deploying natural language processing, machine translation, and artificial intelligence technology for global clients worldwide.
In natural language processing, perplexity is a way of evaluating language models. A language model is a probability distribution over entire sentences or texts.
Python has been successfully utilized for Natural Language Processing and Apache Spark has made the information found in Hadoop bunches more effectively open.
Hyphenation Natural language processing Speech segmentation Lexical analysis Word count Line breaking.
Computer Vision(PhD) Machine Learning(PhD) Natural Language Processing(PhD) Computer Vision(MSc) Machine Learning(MSc) Natural Language Processing(MSc)[4].
As it is a field of Natural Language Processing(NPL), its aim is to convene the human machine interaction.
The former uses techniques from natural language processing(NLP) and machine learning(ML), while the latter draws on crowdsourcing and microtasking methods.