Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Decision tree parsing using a hidden derivation model
HLT '94 Proceedings of the workshop on Human Language Technology
Towards a Dynamic Syntax for Language Modelling
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Learning theory and language modeling
Exploring artificial intelligence in the new millennium
Incorporating query term dependencies in language models for document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Exploiting syntactic structure of queries in a language modeling approach to IR
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Probabilistic top-down parsing and language modeling
Computational Linguistics
A lightweight dependency analyzer for partial parsing
Natural Language Engineering
A classification approach to word prediction
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Left-to-right parsing and bilexical context-free grammars
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Combination of n-grams and Stochastic Context-Free Grammars for language modeling
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
A stochastic parser based on a structural word prediction model
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Robust German noun chunking with a probabilistic context-free grammar
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Dynamic nonlocal language modeling via hierarchical topic-based adaptation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Efficient parsing for bilexical context-free grammars and head automaton grammars
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Relating probabilistic grammars and automata
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A stochastic parser based on an SLM with arboreal context trees
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Open-domain voice-activated question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Evaluating translational correspondence using annotation projection
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A probabilistic earley parser as a psycholinguistic model
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Applying co-training methods to statistical parsing
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Headline generation based on statistical translation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Statistical parsing with an automatically-extracted tree adjoining grammar
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Bootstrapping parsers via syntactic projection across parallel texts
Natural Language Engineering
Predicting accuracy of extracting information from unstructured text collections
Proceedings of the 14th ACM international conference on Information and knowledge management
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Pattern-based disambiguation for natural language processing
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Development in parsing technology: from theory to application
New developments in parsing technology
Probabilistic parsing strategies
Journal of the ACM (JACM)
Discriminative syntactic language modeling for speech recognition
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Cross-entropy and estimation of probabilistic context-free grammars
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Dependency structure language model for topic detection and tracking
Information Processing and Management: an International Journal
Probabilistic Context-Free Grammars Estimated from Infinite Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploiting referential context in spoken language interfaces for data-poor domains
Proceedings of the 13th international conference on Intelligent user interfaces
Statistical machine translation
ACM Computing Surveys (CSUR)
Natural Language Processing as a Foundation of the Semantic Web
Foundations and Trends in Web Science
Automatic prediction of parser accuracy
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
English-to-Czech factored machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Language models based on semantic composition
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A large scale distributed syntactic, semantic and lexical language model for machine translation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Incremental syntactic language models for phrase-based translation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Combining topic specific language models
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
How many dots are really needed for head-driven chart parsing?
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Language modelling with dynamic syntax
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Dynamic bayesian networks for language modeling
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Bayesian induction of syntactic language models for brazilian portuguese
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
A scalable distributed syntactic, semantic, and lexical language model
Computational Linguistics
A challenge set for advancing language modeling
WLM '12 Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT
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The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words-binary-parse-structure with headword annotation and operates in a left-to-right manner --- therefore usable for automatic speech recognition. The model, its probabilistic parameterization, and a set of experiments meant to evaluate its predictive power are presented; an improvement over standard trigram modeling is achieved.