FORWARD-BACKWARD ALGORITHM: Related Papers in ACL Anthology

FORWARD-BACKWARD ALGORITHM can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: A92-1018) a practical part-of-speech tagger
• (ACL ID: C04-1041) the importance of supertagging for wide-coverage ccg parsing
• (ACL ID: C04-1081) chinese segmentation and new word detection using conditional random fields
• (ACL ID: C88-1071) speech recognition and the frequency of recently used words
• (ACL ID: C92-2065) probabilistic tree-adjoining grammar as a framework for statistical natural language processing
• (ACL ID: C94-1027) part-of-speech tagging with neural networks
• (ACL ID: C94-1032) a stochastic japanese morphological analyzer using a forward-dp backward-a* n-best search algorithm
• (ACL ID: C94-2210) syllable-based phonetic transcription by maximum likelihood methods
• (ACL ID: C96-1041) markov random field based english part-of-speech tagging system
• (ACL ID: E06-1019) a comparison of syntactically motivated word alignment spaces
• (ACL ID: H05-1022) hmm word and phrase alignment for statistical machine translation
• (ACL ID: H05-1036) compiling comp ling
• (ACL ID: H05-1096) word-level confidence estimation for machine translation using phrase-based translation models
• (ACL ID: H89-1012) the bbn spoken language system
• (ACL ID: H89-1016) recent progress in the sphinx speech recognition system
• (ACL ID: H89-2036) automatic new word acquisition
• (ACL ID: H89-2037) towards speech recognition without vocabulary-specific training
• (ACL ID: H89-2038) large-vocabulary speaker-independent continuous speech recognition with semi.continuous hidden markov models
• (ACL ID: H89-2039) acoustic modeling of subword units for large vocabulary speaker independent speech recognition
• (ACL ID: H89-2041) tied mixtures in the lincoln robust csr
• (ACL ID: H90-1006) the use of relative duration in syntactic disambiguation
• (ACL ID: H90-1060) a new paradigm for speaker-independent training and speaker adaptation
• (ACL ID: H91-1015) speech recognition in sri's resource management and atis systems
• (ACL ID: H91-1057) a dynamic language model for speech recognition
• (ACL ID: H92-1023) decision tree models applied to the labeling of text with parts-of-speech
• (ACL ID: H92-1033) vocabulary and environment adaptation in vocabulary-independent speech recognition
• (ACL ID: H92-1034) subphonetic modeling for speech recognition
• (ACL ID: H92-1036) map estimation of continuous density hmm
• (ACL ID: H92-1037) minimizing speaker variation effects for speaker-independent speech recognition
• (ACL ID: H92-1080) applying sphinx-ii to the darpa wall street journal csr task
• (ACL ID: H92-1081) the lincoln large-vocabulary hmm csr
• (ACL ID: H94-1052) decision tree parsing using a hidden derivation model
• (ACL ID: H94-1054) japanese word segmentation by hidden markov model
• (ACL ID: H94-1063) high-accuracy large-vocabulary speech recognition using mixture tying and consistency modeling
• (ACL ID: H94-1079) the lincoln large-vocabulary stack-decoder based hmm csr
• (ACL ID: J00-3003) dialogue act modeling for automatic tagging and recognition of conversational speech
• (ACL ID: J01-1002) integrating prosodic and lexical cues for automatic topic segmentation
• (ACL ID: J05-4004) induction of word and phrase alignments for automatic document summarization
• (ACL ID: J93-2006) coping with ambiguity and unknown words through probabilistic models
• (ACL ID: J95-2001) automatic stochastic tagging of natural language texts
• (ACL ID: N03-1028) shallow parsing with conditional random fields
• (ACL ID: N03-2027) bayesian nets for syntactic categorization of novel words
• (ACL ID: N04-1014) training tree transducers
• (ACL ID: N04-1018) detecting structural metadata with decision trees and transformation-based learning
• (ACL ID: N04-4028) confidence estimation for information extraction
• (ACL ID: N06-1012) reducing weight undertraining in structured discriminative learning
• (ACL ID: N06-1019) partial training for a lexicalized-grammar parser
• (ACL ID: N06-1038) integrating probabilistic extraction models and data mining to discover relations and patterns in text
• (ACL ID: N06-1054) a fast finite-state relaxation method for enforcing global constraints on sequence decoding
• (ACL ID: P02-1001) parameter estimation for probabilistic finite-state transducers
• (ACL ID: P02-1036) dynamic programming for parsing and estimation of stochastic unification-based grammars
• (ACL ID: P02-1060) named entity recognition using an hmm-based chunk tagger
• (ACL ID: P04-1062) annealing techniques for unsupervised statistical language learning
• (ACL ID: P04-2011) beyond n in n-gram tagging
• (ACL ID: P05-1044) contrastive estimation
• (ACL ID: P05-1046) unsupervised learning of field segmentation models for information extraction
• (ACL ID: P05-1055) position specific posterior lattices for indexing speech
• (ACL ID: P05-1056) using conditional random fields for sentence boundary detection in speech
• (ACL ID: P06-1028) training conditional random fields with multivariate evaluation measures
• (ACL ID: P06-1078) incorporating speech recognition confidence into discriminative named entity recognition of speech data
• (ACL ID: P06-1088) multi-tagging for lexicalized-grammar parsing
• (ACL ID: P06-4020) the second release of the rasp system
• (ACL ID: P95-1031) bayesian grammar induction for language modeling
• (ACL ID: P95-1037) statistical decision-tree models for parsing
• (ACL ID: P97-1056) memory-based learning
• (ACL ID: P98-1047) learning a syntagmatic and paradigmatic structure from language data with a bi-multigram model
• (ACL ID: P98-2191) maximum entropy model learning of the translation rules
• (ACL ID: W00-0737) hybrid text chunking
• (ACL ID: W00-1309) error-driven hmm-based chunk tagger with context-dependent lexicon
• (ACL ID: W02-0102) an interactive spreadsheet for teaching the forward-backward algorithm
• (ACL ID: W02-0603) unsupervised discovery of morphemes
• (ACL ID: W02-1012) extentions to hmm-based statistical word alignment models
• (ACL ID: W02-1019) minimum bayes-risk word alignments of bilingual texts
• (ACL ID: W02-1806) pcfg parsing for restricted classical chinese texts
• (ACL ID: W02-2010) named entity recognition as a house of cards
• (ACL ID: W03-1019) investigating loss functions and optimization methods for discriminative learning of label sequences
• (ACL ID: W03-1711) a chinese efficient analyser integrating word segmentation, part-of-speech tagging, partial parsing and full parsing
• (ACL ID: W04-3209) comparing and combining generative and posterior probability models
• (ACL ID: W04-3230) applying conditional random fields to japanese morphological analysis
• (ACL ID: W04-3235) error measures and bayes decision rules revisited with applications to pos tagging
• (ACL ID: W05-0606) computing word similarity and identifying cognates with pair hidden markov models
• (ACL ID: W06-0112) a hybrid approach to chinese base noun phrase chunking
• (ACL ID: W06-0130) chinese named entity recognition with conditional probabilistic models
• (ACL ID: W06-0505) efficient hierarchical entity classifier using conditional random fields
• (ACL ID: W06-1643) a skip-chain conditional random field for ranking meeting utterances by importance
• (ACL ID: W06-1655) a hybrid markov/semi-markov conditional random field for sequence segmentation
• (ACL ID: W06-2919) a context pattern induction method for named entity extraction
• (ACL ID: W06-3309) generative content models for structural analysis of medical abstracts
• (ACL ID: W96-0113) a re-estimation method for stochastic language modeling from ambiguous observations
• (ACL ID: W96-0205) automatic extraction of new words from japanese texts using generalized forward-backward search
• (ACL ID: W97-0104) a statistics-based chinese parser
• (ACL ID: W97-0106) grammar acquisition based on clustering analysis and its application to statistical parsing
• (ACL ID: W97-0322) distinguishing word senses in untagged text
• (ACL ID: W99-0631) an iterative approach to estimating frequencies over a semantic hierarchy
• (ACL ID: W99-0901) hiding a semantic hierarchy in a markov model