ACL RD-TEC 1.0 Summarization of W02-1605
Paper Title:
IMPROVING TRANSLATION QUALITY OF RULE-BASED MACHINE TRANSLATION
IMPROVING TRANSLATION QUALITY OF RULE-BASED MACHINE TRANSLATION
Authors: Paisarn Charoenpornsawat and Virach Sornlertlamvanich and Thatsanee Charoenporn
Primarily assigned technology terms:
- algorithm
- boundary disambiguation
- decision tree
- disambiguation
- electronic dictionary
- english analysis
- induction
- induction algorithm
- learning
- learning algorithm
- learning algorithms
- learning procedure
- learning technique
- learning techniques
- machine leaning
- machine learning
- machine learning algorithms
- machine learning techniques
- machine translation
- nlp
- pruning
- rule learning
- rule-based machine
- rule-based machine translation
- sentence boundary disambiguation
- word extraction
Other assigned terms:
- approach
- british national corpus
- case
- collocation
- concept
- context information
- context words
- data set
- dictionary
- disambiguating word
- edr corpus
- error rate
- fact
- grammar
- information gain
- knowledge
- leaf
- learning module
- linguistic
- linguistic knowledge
- linguists
- meaning
- meanings
- method
- negation
- parse
- part-of-speech
- part-of-speech tag
- part-of-speech tags
- procedure
- process
- production rules
- rule set
- semantic
- semantic rules
- sentence
- sentence boundary
- sentences
- source sentence
- statistics
- subtree
- symbols
- syntax
- tags
- target language
- target word
- technique
- text
- training
- training corpus
- training data
- training data set
- training examples
- training set
- translation quality
- tree
- window size
- word
- word information
- word meaning
- word usage
- words
