ACL RD-TEC 1.0 Summarization of W05-0904
Paper Title:
SYNTACTIC FEATURES FOR EVALUATION OF MACHINE TRANSLATION
SYNTACTIC FEATURES FOR EVALUATION OF MACHINE TRANSLATION
Authors: Ding Liu and Daniel Gildea
Primarily assigned technology terms:
- algorithm
- alignment template system
- automatic evaluation
- chinese-english mt
- classi cation
- computational linguistics
- computing
- convolution kernels
- extrinsic evaluation
- inner product
- kernel
- kernels
- language engineering
- learning
- learning approach
- machine learning
- machine learning approach
- machine translation
- machine translation systems
- matching
- mt system
- mt systems
- parser
- parsing
- ranking
- summarization
- support vector machine
- translation systems
- tree kernel
Other assigned terms:
- alignment template
- approach
- arithmetic mean
- association for computational linguistics
- bleu
- bleu metric
- bleu score
- brevity penalty
- classi cation accuracy
- concepts
- corpus level evaluation
- correlation
- correlations
- cosine measure
- cosine similarity
- data set
- dependency relations
- dependency tree
- dependency trees
- dimensionality
- error rate
- evaluation measures
- evaluation metric
- evaluation metrics
- extrinsic evaluation measures
- fact
- feature
- geometric mean
- grammaticality
- human judgments
- human translation
- hypotheses
- hypothesis
- language model
- linear order
- linguistics
- meaning
- measure
- measures
- method
- mt evaluation
- n-gram
- n-grams
- nist
- noun phrase
- phrase
- precision
- reference translations
- semantic
- semantic accuracy
- sentence
- sentence level
- sentences
- similarity measure
- sparse data
- sparse data problem
- subject noun phrase
- subtree
- subtrees
- support vector
- syntactic features
- syntactic information
- syntactic structure
- syntactic trees
- syntax
- syntax tree
- term
- test set
- testing data
- testing set
- transitive verbs
- translation pairs
- translations
- tree
- trees
- verb
- word
- word error rate
- words
