MORPHOLOGICAL SEGMENTATION: Related Papers in ACL Anthology

MORPHOLOGICAL SEGMENTATION can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: C04-1152) efficient unsupervised recursive word segmentation using minimum description length
• (ACL ID: C92-4195) broad coverage automatic morphological segmentation of german words
• (ACL ID: C94-1036) segmenting a sentence into morpiiemes using statistic information between words
• (ACL ID: E06-2022) multilingual term extraction from domain-specific corpora using morphological structure
• (ACL ID: E83-1008) knowledge engineering approach to morphological analysis
• (ACL ID: I05-2007) a resource-based korean morphological annotation system
• (ACL ID: J01-2001) unsupervised learning of the morphology of a natural language
• (ACL ID: P03-2011) semantic classification of chinese unknown words
• (ACL ID: P06-3009) integrated morphological and syntactic disambiguation for modern hebrew
• (ACL ID: P97-1041) a trainable rule-based algorithm for word segmentation
• (ACL ID: W02-0309) biomedical text retrieval in languages with a complex morphology
• (ACL ID: W04-0105) priors in bayesian learning of phonological rules
• (ACL ID: W04-0108) a comparison of two different approaches to morphological analysis of dutch
• (ACL ID: W04-1302) a quantitative evaluation of naturalistic models of language acquisition; the efficiency of the triggering learning algorithm compared to a categorial grammar learner
• (ACL ID: W05-0617) morphology induction from term clusters
• (ACL ID: W05-0618) beyond the pipeline
• (ACL ID: W05-0701) memory-based morphological analysis generation and part-of-speech tagging of arabic
• (ACL ID: W06-3102) initial explorations in english to turkish statistical machine translation
• (ACL ID: W06-3206) improved morpho-phonological sequence processing with constraint satisfaction inference
• (ACL ID: W98-1223) modularity in inductively-learned word pronunciation systems