Publications
Book chapter · Advances in intelligent systems and computing · January 1, 2016
Using Kazakh Morphology Information to Improve Word Alignment for SMT
Natural Language Processing TechniquesTopic ModelingSpeech Recognition and Synthesisword alignmentstatistical machine translationKazakh language
More by Amandyk Kartbayev
- EVALUATING COMPETITIVE STRATEGIES IN DIGITAL MARKETPLACE PLATFORMS: A DATA-DRIVEN ANALYSIS OF MARKET DYNAMICSUniversum Technical sciences · 2026
- Competitive Landscape Assessment in the Ecommerce SectorIEEE International Conference on Smart Information Systems and Technologies · 2026
- KAZAKH HANDWRITTEN TEXT RECOGNITION USING LIGHTWEIGHT CRNN+CTC ARCHITECTUREUniversum Technical sciences · 2026
- CASH FLOW FORECASTING USING TIME SERIES ANALYSIS, MACHINE LEARNING AND DEEP LEARNING MODELS: EVIDENCE FROM NEW YORK CITY FINANCIAL DATAUniversum Technical sciences · 2026
