Sökning: "Transformation-Based Learning"
Hittade 2 uppsatser innehållade orden Transformation-Based Learning.
1. Genetic Algorithms in the Brill Tagger : Moving towards language independence
Magister-uppsats, Avdelningen för datorlingvistikSammanfattning : The viability of using rule-based systems for part-of-speech tagging was revitalised when a simple rule-based tagger was presented by Brill (1992). This tagger is based on an algorithm which automatically derives transformation rules from a corpus, using an error-driven approach. LÄS MER
2. When errors become the rule: A survey of Transformation-Based Learning
M1-uppsats, Lunds universitet/DatavetenskapSammanfattning : Transformation-based learning (TBL) is a machine learning method for sequential classification, invented by Eric Brill (1993, 1995). It is widely used within natural language processing (but surprisingly little in other areas). LÄS MER