Keywords
Affiliated Institutions
Related Publications
Dependency-Based Construction of Semantic Space Models
Traditionally, vector-based semantic space models use word co-occurrence counts from large corpora to represent lexical meaning. In this article we present a novel framework for...
Enriching Word Vectors with Subword Information
Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore ...
Foundations of statistical natural language processing
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical na...
Learning Character-level Representations for Part-of-Speech Tagging
Distributed word representations have recently been proven to be an invaluable resource for NLP. These representations are normally learned using neural networks and capture syn...
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news tran...
Publication Info
- Year
- 1982
- Type
- article
- Volume
- 8
- Issue
- 4
- Pages
- 336-342
- Citations
- 1027
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1037/0278-7393.8.4.336