Natural Language Processing Techniques
This cluster of papers focuses on statistical machine translation, neural machine translation, dependency parsing, word sense disambiguation, and part-of-speech tagging. It also covers topics such as corpus linguistics, syntax-based translation models, multilingual neural machine translation, and language modeling.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.
Most cited
- Exploiting Generative AI to Scale up Intelligent Tutoring Systems
- Latent dirichlet allocation
- WordNet
- Back-Translation for Cross-Cultural Research
- Introduction to functional grammar . By M. A. K. Halliday London & Baltimore: Edward Arnold, 1985. Pp. xxxv, 387.
- An algorithm for suffix stripping
Most recent
- NATURAL LANGUAGE PROCESSING PARSER TECHNIQUE FOR DOCUMENT CRACKING AND INFORMATION EXTRACTION MODEL
- Linguistic Foundations for Constructing Speech Synthesis in the Kazakh Language
- SSPA: Enhancing Pseudo-Corpus Quality on Tibetan Machine Translation via Semantic-Syntax Prealignment
- The activation and selection of Chinese verbal classifiers: an ERP study
- Comparative Deep Learning for Low-Resource Language Modeling
- A Literature Review for LoomSet: An Open Source, Zero Cost Text Based Data Extraction Pipeline for ML-Ready Datasets