VITERBI ALGORITHM: Related Papers in ACL Anthology

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

• (ACL ID: A00-1034) a hybrid approach for named entity and sub-type tagging
• (ACL ID: A00-2014) the effectiveness of corpus-induced dependency grammars for post-processing speech
• (ACL ID: A00-2024) cut and paste based text summarization
• (ACL ID: A00-2035) tagging sentence boundaries
• (ACL ID: A92-1018) a practical part-of-speech tagger
• (ACL ID: A97-1029) nymble
• (ACL ID: C00-1030) extracting the names of genes and gene products with a hidden markov model
• (ACL ID: C00-1056) an english to korean transliteration model of extended markov window
• (ACL ID: C00-1081) a stochastic parser based on a structural word prediction model
• (ACL ID: C00-2089) tagging and chunking with bigrams
• (ACL ID: C00-2092) data-oriented translation
• (ACL ID: C00-2105) robust german noun chunking with a probabilistic context-free grammar
• (ACL ID: C00-2141) local context templates for chinese constituent boundary prediction
• (ACL ID: C00-2170) jurilinguistic engineering in cantonese chinese
• (ACL ID: C02-1075) a novel disambiguation method for unification-based grammars using probabilistic context-free approximations
• (ACL ID: C02-1148) investigating the relationship between word segmentation performance and retrieval performance in chinese ir
• (ACL ID: C02-1166) an approach based on multilingual thesauri and model combination for bilingual lexicon extraction
• (ACL ID: C02-2019) morphological analysis of the spontaneous speech corpus
• (ACL ID: C04-1041) the importance of supertagging for wide-coverage ccg parsing
• (ACL ID: C04-1066) japanese unknown word identification by character-based chunking
• (ACL ID: C04-1067) chinese and japanese word segmentation using word-level and character-level information
• (ACL ID: C04-1080) part-of-speech tagging in context
• (ACL ID: C04-1081) chinese segmentation and new word detection using conditional random fields
• (ACL ID: C04-1082) tagging with hidden markov models using ambiguous tags
• (ACL ID: C04-1091) an algorithmic framework for solving the decoding problem in statistical machine translation
• (ACL ID: C04-1103) direct orthographical mapping for machine transliteration
• (ACL ID: C04-1140) high-performance tagging on medical texts
• (ACL ID: C04-1182) analysis and detection of reading miscues for interactive literacy tutors
• (ACL ID: C94-1025) probabilistic tagging with feature structures
• (ACL ID: C94-1032) a stochastic japanese morphological analyzer using a forward-dp backward-a* n-best search algorithm
• (ACL ID: C94-2108) content characterization using word shape tokens
• (ACL ID: C94-2210) syllable-based phonetic transcription by maximum likelihood methods
• (ACL ID: C96-2148) pos tagging using relaxation labelling
• (ACL ID: C96-2192) tagging spoken language using written language statistics
• (ACL ID: E95-1015) the problem of computing the most probable tree in data-oriented parsing and stochastic tree grammars
• (ACL ID: E99-1016) cascaded markov models
• (ACL ID: E99-1025) new models for improving supertag disambiguation
• (ACL ID: H01-1029) fine-grained hidden markov modeling for broadcast-news story segmentation
• (ACL ID: H05-1022) hmm word and phrase alignment for statistical machine translation
• (ACL ID: H05-1025) predicting sentences using n-gram language models
• (ACL ID: H89-1010) the bbn byblos continuous speech recognition system
• (ACL ID: H89-1027) the mit summit speech recognition system
• (ACL ID: H89-1043) integrating speech and natural-language processing
• (ACL ID: H89-1054) probabilistic models of short and long distance word dependencies in running text
• (ACL ID: H89-2008) the voyager speech understanding system
• (ACL ID: H89-2014) augmenting a hidden markov model for phrase-dependent word tagging
• (ACL ID: H90-1003) efficient, high-performance algorithms for n-best search
• (ACL ID: H90-1004) a tree.trellis based fast search for finding the n best sentence hypotheses in continuous speech recognition
• (ACL ID: H90-1016) toward a real-time spoken language system using commercial hardware
• (ACL ID: H90-1018) hardware for hidden markov-model-based, large-vocabulary real-time speech recognition
• (ACL ID: H91-1043) some results on stochastic language modelling
• (ACL ID: H91-1065) studies in part of speech labelling
• (ACL ID: H92-1013) progress report on the chronus system
• (ACL ID: H92-1034) subphonetic modeling for speech recognition
• (ACL ID: H92-1036) map estimation of continuous density hmm
• (ACL ID: H92-1067) an a* algorithm for very large vocabulary continuous speech recognition
• (ACL ID: H92-1069) speaker-independent phone recognition using bref
• (ACL ID: H93-1019) identification of non-linguistic speech features
• (ACL ID: H93-1045) example-based correction of word segmentation and part of speech labelling
• (ACL ID: H94-1054) japanese word segmentation by hidden markov model
• (ACL ID: H94-1074) speech-based retrieval using semantic co-occurrence filtering
• (ACL ID: H94-1080) a one pass decoder design for large vocabulary recognition
• (ACL ID: H94-1085) use of lexical and syntactic techniques in recognizing handwritten text
• (ACL ID: I05-2022) hmm based chunker for hindi
• (ACL ID: I05-3018) combination of machine learning methods for optimum chinese word segmentation
• (ACL ID: I05-3033) towards a hybrid model for chinese word segmentation
• (ACL ID: I05-5012) towards statistical paraphrase generation
• (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: J01-2002) improving accuracy in word class tagging through the combination of machine learning systems
• (ACL ID: J02-4006) using hidden markov modeling to decompose human-written summaries
• (ACL ID: J03-1006) squibs and discussions
• (ACL ID: J05-4004) induction of word and phrase alignments for automatic document summarization
• (ACL ID: J93-1002) generalized probabilistic lr parsing of natural language (corpora) with unification-based grammars
• (ACL ID: J93-2006) coping with ambiguity and unknown words through probabilistic models
• (ACL ID: J94-2001) tagging english text with a probabilistic model
• (ACL ID: J95-2001) automatic stochastic tagging of natural language texts
• (ACL ID: J95-2002) an efficient probabilistic context-free parsing algorithm that computes prefix probabilities
• (ACL ID: J96-3003) efficient multilingual phoneme-to-grapheme conversion based on hmm
• (ACL ID: J96-3004) a stochastic finite-state word-segmentation algorithm for chinese
• (ACL ID: M98-1009) bbn
• (ACL ID: M98-1016) description of the kent ridge digital labs system used for muc-7
• (ACL ID: M98-1019) description of the japanese ne system used for met-2
• (ACL ID: N03-1028) shallow parsing with conditional random fields
• (ACL ID: N03-1033) feature-rich part-of-speech tagging with a cyclic dependency network
• (ACL ID: N04-1003) robust reading
• (ACL ID: N04-1015) catching the drift
• (ACL ID: N04-1042) accurate information extraction from research papers using conditional random fields
• (ACL ID: N04-4028) confidence estimation for information extraction
• (ACL ID: N04-4038) automatic tagging of arabic text
• (ACL ID: N06-1010) exploiting domain structure for named entity recognition
• (ACL ID: N06-1036) backoff model training using partially observed data
• (ACL ID: N06-1054) a fast finite-state relaxation method for enforcing global constraints on sequence decoding
• (ACL ID: N06-1056) learning for semantic parsing with statistical machine translation
• (ACL ID: N06-2023) summarizing speech without text using hidden markov models
• (ACL ID: N06-3004) efficient algorithms for richer formalisms
• (ACL ID: N06-4004) mttk
• (ACL ID: P00-1015) a unified statistical model for the identification of english basenp
• (ACL ID: P01-1030) fast decoding and optimal decoding for machine translation
• (ACL ID: P01-1041) japanese named entity recognition based on a simple rule generator and decision tree learning
• (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: P03-1020) truecasing
• (ACL ID: P03-1036) unsupervised segmentation of words using prior distributions of morph length and frequency
• (ACL ID: P03-1038) self-organizing markov models and their application to part-of-speech tagging
• (ACL ID: P03-1060) a syllable based word recognition model for korean noun extraction
• (ACL ID: P03-1061) morphological analysis of a large spontaneous speech corpus in japanese
• (ACL ID: P03-1064) a snow based supertagger with application to np chunking
• (ACL ID: P03-2041) learning non-isomorphic tree mappings for machine translation
• (ACL ID: P04-1014) parsing the wsj using ccg and log-linear models
• (ACL ID: P04-1021) a joint source-channel model for machine transliteration
• (ACL ID: P04-1085) identifying agreement and disagreement in conversational speech
• (ACL ID: P04-1086) using conditional random fields to predict pitch accents in conversational speech
• (ACL ID: P05-1010) probabilistic cfg with latent annotations
• (ACL ID: P05-1022) coarse-to-fine n-best parsing and maxent discriminative reranking
• (ACL ID: P05-1045) incorporating non-local information into information extraction systems by gibbs sampling
• (ACL ID: P05-1046) unsupervised learning of field segmentation models for information extraction
• (ACL ID: P05-1056) using conditional random fields for sentence boundary detection in speech
• (ACL ID: P05-1064) a phonotactic language model for spoken language identification
• (ACL ID: P05-1073) joint learning improves semantic role labeling
• (ACL ID: P05-2004) jointly labeling multiple sequences
• (ACL ID: P06-1007) a finite-state model of human sentence processing
• (ACL ID: P06-1009) discriminative word alignment with conditional random fields
• (ACL ID: P06-1028) training conditional random fields with multivariate evaluation measures
• (ACL ID: P06-1080) self-organizing n-gram model for automatic word spacing
• (ACL ID: P06-1081) concept unification of terms in different languages for ir
• (ACL ID: P06-1125) a phonetic-based approach to chinese chat text normalization
• (ACL ID: P06-1126) discriminative pruning of language models for chinese word segmentation
• (ACL ID: P06-1129) exploring distributional similarity based models for query spelling correction
• (ACL ID: P06-1141) an effective two-stage model for exploiting non-local dependencies in named entity recognition
• (ACL ID: P06-2008) towards conversational qa
• (ACL ID: P06-2065) unsupervised analysis for decipherment problems
• (ACL ID: P06-2073) segmented and unsegmented dialogue-act annotation with statistical dialogue models
• (ACL ID: P06-2097) unsupervised topic identification by integrating linguistic and visual information based on hidden markov models
• (ACL ID: P06-2098) exact decoding for jointly labeling and chunking sequences
• (ACL ID: P06-2120) stochastic discourse modeling in spoken dialogue systems using semantic dependency graphs
• (ACL ID: P06-2125) an hmm-based approach to automatic phrasing for mandarin text-to-speech synthesis
• (ACL ID: P06-3005) modeling human sentence processing data with a statistical parts-of-speech tagger
• (ACL ID: P06-3006) semantic discourse segmentation and labeling for route instructions
• (ACL ID: P06-4020) the second release of the rasp system
• (ACL ID: P94-1025) part-of-speech tagging using a variable memory markov model
• (ACL ID: P94-1041) detecting and correcting speech repairs
• (ACL ID: P95-1001) learning phonological rule probabilities from speech corpora with exploratory computational phonology
• (ACL ID: P96-1024) parsing algorithms and metrics
• (ACL ID: P97-1022) fertility models for statistical natural language understanding
• (ACL ID: P97-1031) a flexible pos tagger using an automatically acquired language model
• (ACL ID: P98-1029) classifier combination for improved lexical disambiguation
• (ACL ID: P98-1047) learning a syntagmatic and paradigmatic structure from language data with a bi-multigram model
• (ACL ID: P98-1080) tagging inlective languages
• (ACL ID: P98-1081) improving data driven wordclass tagging by system combination
• (ACL ID: P99-1023) a second-order hidden markov model for part-of-speech tagging
• (ACL ID: W00-0508) stochastic finite-state models for spoken language machine translation
• (ACL ID: W00-0602) some challenges of developing fully-automated systems for taking audio comprehension exams
• (ACL ID: W00-0732) improving chunking by means of lexical-contextual information in statistical language models
• (ACL ID: W00-0737) hybrid text chunking
• (ACL ID: W00-0904) comparison between tagged corpora for the named entity task
• (ACL ID: W00-1211) statistics based hybrid approach to chinese base phrase identification
• (ACL ID: W00-1302) what's yours and what's mine
• (ACL ID: W00-1309) error-driven hmm-based chunk tagger with context-dependent lexicon
• (ACL ID: W00-1401) evaluation metrics for generation
• (ACL ID: W01-0712) learning computational grammars
• (ACL ID: W02-0102) an interactive spreadsheet for teaching the forward-backward algorithm
• (ACL ID: W02-0301) tuning support vector machines for biomedical named entity recognition
• (ACL ID: W02-0504) an hmm approach to vowel restoration in arabic and hebrew
• (ACL ID: W02-0603) unsupervised discovery of morphemes
• (ACL ID: W02-0706) architectures for speech-to-speech translation using finite-state models
• (ACL ID: W02-1817) automatic recognition of chinese unknown words based on roles tagging
• (ACL ID: W02-2010) named entity recognition as a house of cards
• (ACL ID: W03-0423) named entity recognition with a maximum entropy approach
• (ACL ID: W03-0425) named entity recognition through classifier combination
• (ACL ID: W03-0430) early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
• (ACL ID: W03-0432) named entity recognition using a character-based probabilistic approach
• (ACL ID: W03-0501) hedge trimmer
• (ACL ID: W03-1026) howtogetachinesename(entity)
• (ACL ID: W03-1119) a sentence reduction using syntax control
• (ACL ID: W03-1202) using thematic information in statistical headline generation
• (ACL ID: W03-1711) a chinese efficient analyser integrating word segmentation, part-of-speech tagging, partial parsing and full parsing
• (ACL ID: W03-1723) a two-stage statistical word segmentation system for chinese
• (ACL ID: W03-1724) integrating ngram model and case-based learning for chinese word segmentation
• (ACL ID: W03-1731) chunking-based chinese word tokenization
• (ACL ID: W04-0842) wsd system based on specialized hidden markov model (upv-shmm-eaw)
• (ACL ID: W04-0857) generative models for semantic role labeling
• (ACL ID: W04-1104) adaptive compression-based approach for chinese pinyin input
• (ACL ID: W04-1111) a statistical model for hangeul-hanja conversion in terminology domain
• (ACL ID: W04-1221) biomedical named entity recognition using conditional random fields and rich feature sets
• (ACL ID: W04-2312) resolution of lexical ambiguities in spoken dialogue system
• (ACL ID: W04-2602) towards full automation of lexicon construction
• (ACL ID: W04-3207) bilingual parsing with factored estimation
• (ACL ID: W04-3219) monolingual machine translation for paraphrase generation
• (ACL ID: W04-3225) adaptive language and translation models for interactive machine translation
• (ACL ID: W04-3229) a resource-light approach to russian morphology
• (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: W05-0106) making hidden markov models more transparent
• (ACL ID: W05-0606) computing word similarity and identifying cognates with pair hidden markov models
• (ACL ID: W05-0701) memory-based morphological analysis generation and part-of-speech tagging of arabic
• (ACL ID: W05-0708) pos tagging of dialectal arabic
• (ACL ID: W05-0803) parsing word-aligned parallel corpora in a grammar induction context
• (ACL ID: W05-1302) adaptive string similarity metrics for biomedical reference resolution
• (ACL ID: W05-1504) parsing with soft and hard constraints on dependency length
• (ACL ID: W05-1506) better k-best parsing
• (ACL ID: W05-1511) efficacy of beam thresholding, unification filtering and hybrid parsing in probabilistic hpsg parsing
• (ACL ID: W05-1517) efficient extraction of grammatical relations
• (ACL ID: W05-1601) statistical generation
• (ACL ID: W05-1628) searching for grammaticality
• (ACL ID: W06-0122) on using ensemble methods for chinese named entity recognition
• (ACL ID: W06-0125) chinese word segmentation and named entity recognition based on a context-dependent mutual information independence model
• (ACL ID: W06-0133) maximum entropy word segmentation of chinese text
• (ACL ID: W06-0134) a pragmatic chinese word segmentation system
• (ACL ID: W06-0138) using part-of-speech reranking to improve chinese word segmentation
• (ACL ID: W06-0505) efficient hierarchical entity classifier using conditional random fields
• (ACL ID: W06-1616) incremental integer linear programming for non-projective dependency parsing
• (ACL ID: W06-1620) multilingual deep lexical acquisition for hpsgs via supertagging
• (ACL ID: W06-1655) a hybrid markov/semi-markov conditional random field for sequence segmentation
• (ACL ID: W06-1670) broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
• (ACL ID: W06-1673) solving the problem of cascading errors
• (ACL ID: W06-2005) tagging portuguese with a spanish tagger
• (ACL ID: W06-2909) semantic role labeling via tree kernel joint inference
• (ACL ID: W06-2935) language independent probabilistic context-free parsing bolstered by machine learning
• (ACL ID: W93-0311) corpus-based adaptation mechanisms for chinese homophone disambiguation
• (ACL ID: W96-0108) a statistical approach to automatic ocr error correction in context
• (ACL ID: W96-0205) automatic extraction of new words from japanese texts using generalized forward-backward search
• (ACL ID: W96-0206) better language models with model merging
• (ACL ID: W97-0120) a self-organizing japanese word segmenter using heuristic word identification and re-estimation
• (ACL ID: W97-0302) global thresholding and multiple-pass parsing
• (ACL ID: W97-0307) tagging grammatical functions
• (ACL ID: W97-0407) using categories in the eutrans system
• (ACL ID: W97-0612) a robust dialogue system with spontaneous speech understanding and cooperative response
• (ACL ID: W98-0801) recognition of spontaneous speech
• (ACL ID: W98-1110) generalized unknown morpheme guessing for hybrid pos tagging of korean
• (ACL ID: W98-1118) exploiting diverse knowledge sources via maximum entropy in named entity recognition
• (ACL ID: W98-1120) a decision tree method for finding and classifying names in japanese texts
• (ACL ID: W98-1205) look-back and look-ahead in the conversion of hidden markov models into finite state transducers
• (ACL ID: W98-1304) robust parsing using a hidden markov model
• (ACL ID: W98-1307) learning finite-state models for language understanding
• (ACL ID: W99-0608) improving pos tagging using machine-learning techniques
• (ACL ID: W99-0619) word informativeness and automatic pitch accent modeling
• (ACL ID: W99-0701) unsupervised learning of word boundary with description length gain
• (ACL ID: X96-1028) progress in information extraction
• (ACL ID: X98-1012) research in information extraction