Turkish.AI
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About
Turkish.AI is a cloud-hosted and on-premise Turkish NLP API offering comprehensive solutions for extracting structured information from Turkish texts. It features text normalization, advanced tokenization, fine-grained named entity recognition (21 entity types), temporal expression identification, morphological analysis, syntax parsing, and aspect-based sentiment analysis. The company also offers consulting and custom AI solutions built on their proprietary software, supporting both cloud and on-premise deployments. Their team boasts extensive experience in Turkish NLP, backed by academic research and publications.
Platform
Task
Features
• sentiment analysis
• text normalization
• advanced tokenization
• fine-grained entities
• syntax
• morphology
• temporal expressions
Pricing Plans
Free
Free PlanJob Opportunities
General Application
Turkish NLP API for extracting structured information from Turkish texts. Cloud and on-premise options available.
Benefits:
High-salaries
Education Requirements:
Bachelor’s/Master’s degree in Mathematics, Computer Science, Computational Linguistics (or equivalent)
Experience Requirements:
At least 3+ years of relevant experience as a software developer
Prolific experience as a Natural Language Processing expert or other similar roles
Proven experience in Natural Language Processing tricks and techniques for semantic extraction, data structure, and modeling
Good understanding of text representation
Strongholds of Machine Learning frameworks, like Keras or PyTorch, and libraries, like scikit-learn
Responsibilities:
Adopt powerful text representations for the transformation of natural language into compelling features
Contribute to the development of new features, issue fixes, and introduce new tools and concepts
Build Natural Language Processing applications using features developed by the transformation of natural language data
Simplify the deployment and design of complicated conversational systems
Identify appropriate dataset for the application of Machine Learning methods
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