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Deriving frequency effects from biases in learning
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 514–525 ; 2473-8689 (2021)
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Unsupervised Formal Grammar Induction with Confidence
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In: Proceedings of the Society for Computation in Linguistics (2020)
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When lexical statistics and the grammar conflict: learning and repairing weight effects on stress.
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Constraints in contact: Animacy in English and Afrikaans genitive variation – a cross-linguistic perspective
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 72 ; 2397-1835 (2017)
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Probabilistic Grammar: The view from Cognitive Sociolinguistics
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 62 ; 2397-1835 (2017)
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Lexical Structure, Weightedness, And Information In Sentence Processing
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Intégration des données d'un lexique syntaxique dans un analyseur syntaxique probabiliste
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In: Penser le Lexique-Grammaire. Perspectives actuelles ; 30th International Conference on Lexis and Grammar (LGC'11) ; https://hal-upec-upem.archives-ouvertes.fr/hal-00621647 ; Fryni Kakoyianni-Doa. Penser le Lexique-Grammaire. Perspectives actuelles, Honoré Champion, pp.505-516, 2014, Collection Colloques, congrès et conférences. Sciences du Langage, histoire de la langue et des dictionnaires. 30th International Conference on Lexis and Grammar, Nicosia, Cyprus, 2011, 978-2-7453-2512-9 (2014)
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MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing
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In: DTIC (2013)
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Detecting grammatical errors with treebank-induced, probabilistic parsers
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In: Wagner, Joachim orcid:0000-0002-8290-3849 (2012) Detecting grammatical errors with treebank-induced, probabilistic parsers. PhD thesis, Dublin City University. (2012)
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Techniques for utterance disambiguation in a human-computer dialogue system
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Abstract:
Disambiguating an utterance occurring in a dialogue context is a complex task, which requires input from many different sources of information -- some syntactic, some semantic, and some pragmatic. The central question addressed by this thesis is how to integrate data sources for utterance disambiguation within a bilingual human-computer dialogue system. First, a simple scheme is proposed for classifying disambiguation data sources; then this scheme is used to develop a method for combining data sources in a principled manner. Next, several actual sources of disambiguation data are explored; each is fitted into the previously described implementation framework. In particular, a probabilistic grammar is developed and augmented using novel techniques to increase its performance with respect to the local dialogue context. In a dialogue system, ambiguities which cannot be resolved automatically can be clarified by asking the user what was meant. This thesis also presents a model of clarification subdialogues which is integrated within the utterance disambiguation framework. This is followed by a brief treatment of how user errors may be accommodated, and how this process can also be fitted -- conceptually and in implementation -- into the previously described disambiguation framework. Finally, I describe the details of implementing these techniques within an existing dialogue system, and give examples demonstrating their effectiveness.
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Keyword:
bilingual; computational linguistics; computer-aided language learning; dialogue; disambiguation; grammar; head-driven phrase structure grammar; linguistics; machine translation; natural language processing; probabilistic grammar; statistical parsing; stochastic grammar; te kaitito; translation
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URL: http://hdl.handle.net/10523/2665
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Integration of Data from a Syntactic Lexicon into Generative and Discriminative Probabilistic Parsers
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In: International conference on Recent Advances in Natural Language Processing (RANLP'11) ; https://hal-upec-upem.archives-ouvertes.fr/hal-00621646 ; International conference on Recent Advances in Natural Language Processing (RANLP'11), 2011, Hissar, Bulgaria. pp.363-370 (2011)
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Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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From Exemplar to Grammar: A Probabilistic Analogy-based Model of Language Learning
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In: http://staff.science.uva.nl/~rens/analogy.pdf (2009)
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