Natural Language Processing Techniques

Natural Language Processing Techniques is a research topic within Artificial Intelligence. Science Explorer counts 89k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

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.

• Statistical Machine Translation
• Neural Machine Translation
• Dependency Parsing
• Word Sense Disambiguation
• Part-of-Speech Tagging
• Corpus Linguistics
• Syntax-based Translation Models
• Multilingual Neural Machine Translation
• Lexical Database
• Language Modeling