ACL RD-TEC 1.0 Summarization of W03-1506
Paper Title:
MULTI-LANGUAGE NAMED-ENTITY RECOGNITION SYSTEM BASED ON HMM
MULTI-LANGUAGE NAMED-ENTITY RECOGNITION SYSTEM BASED ON HMM
Authors: Kuniko Saito and Masaaki Nagata
Primarily assigned technology terms:
- algorithm
- analyzer
- bilingual lexicon extraction
- candidate generation
- dictionary lookup
- em algorithm
- hidden markov
- hidden markov model
- information retrieval
- lexical analysis
- lexical analyzer
- lexicon extraction
- linear interpolation
- markov model
- maximum entropy
- maximum entropy method
- morphological analysis
- multi-language named-entity recognition
- n-best search
- named-entity recognition
- named-entity recognition system
- news article alignment
- processing
- recognition
- recognition system
- search
- search algorithm
- segmentation
- smoothing
- support vector machine
- word bigram
- word recognition
- word segmentation
Other assigned terms:
- alphabet
- ambiguity
- approach
- back-off model
- bigram
- bigram model
- bilingual dictionaries
- bilingual lexicon
- bilingual lexicons
- case
- character type
- characters
- compound words
- corpora
- dictionaries
- dictionary
- entropy
- function words
- generation
- graph structure
- ibm model
- input string
- interpolation
- interpolation scheme
- joint probability
- kanji
- katakana
- language model
- lexicon
- meaning
- measure
- method
- morpheme
- multi-language named-entity
- named entities
- named entity
- named-entity
- named-entity task
- names
- nouns
- parallel text
- parallel texts
- part of speech
- part-of-speech
- personal names
- phrase
- probabilities
- probability
- process
- recognition model
- segmentation ambiguity
- sentence
- sentences
- sparse data
- sparse data problem
- statistical language model
- substring
- support vector
- symbol
- symbols
- tagged corpora
- target language
- technique
- terms
- text
- training
- training data
- translation model
- translation probability
- vowel
- word
- word bigram model
- word boundary
- word candidate
- word segmentation ambiguity
- word sequence
- word sequence length
- word sequences
- words
