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Towards a Diagnosis of Textual Difficulties for Children with Dyslexia
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In: 11th International Conference on Language Resources and Evaluation (LREC) ; https://hal.archives-ouvertes.fr/hal-01737726 ; 11th International Conference on Language Resources and Evaluation (LREC), May 2018, Miyazaki, Japan (2018)
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Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
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In: 27th International Conference on Computational Linguistics (COLING) ; https://hal.archives-ouvertes.fr/hal-01868743 ; 27th International Conference on Computational Linguistics (COLING), Aug 2018, Santa Fe, NM, United States. pp.1474-1484 ; http://coling2018.org/ (2018)
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Separating Optical and Language Models through Encoder-Decoder Strategy for Transferable Handwriting Recognition
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In: 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) ; https://hal.archives-ouvertes.fr/hal-01821598 ; 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), Aug 2018, Niagara Falls, Canada (2018)
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Étude préliminaire de reconnaissance d'écriture sur des documents historiques
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In: Rencontre des Jeunes Chercheurs en Recherche d'Information (RJCRI) ; https://hal.archives-ouvertes.fr/hal-01758573 ; Rencontre des Jeunes Chercheurs en Recherche d'Information (RJCRI), Mar 2017, Marseille, France (2017)
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Graph Mining under Linguistic Constraints to Explore Large Texts
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In: Computación y sistemas ; 14th international conference on Computational Linguistics and Intelligent Text Processing (CICLing'13) ; https://hal.archives-ouvertes.fr/hal-00817068 ; 14th international conference on Computational Linguistics and Intelligent Text Processing (CICLing'13), Mar 2013, Samos, Greece. pp.239-250 (2013)
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SDMC : un outil en ligne d'extraction de motifs séquentiels pour la fouille de textes
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In: Conférence Francophone sur l'Extraction et la Gestion des Connaissances (EGC'13) ; https://hal.archives-ouvertes.fr/hal-00817074 ; Conférence Francophone sur l'Extraction et la Gestion des Connaissances (EGC'13), Jan 2013, Toulouse, France (2013)
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Error handling approach using characterization and correction steps for handwritten document analysis
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In: International Journal on Document Analysis and Recognition (IJDAR) ; https://hal.archives-ouvertes.fr/hal-00582446 ; International Journal on Document Analysis and Recognition (IJDAR), 2012, 15 (2), pp.125-141 (2012)
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Fouille de données pour la stylistique : cas des motifs séquentiels émergents
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In: 11es Journées internationales d'Analyse statistique des Données Textuelles (JADT) ; 11es Journées Internationales d'Analyse Statistique des Données Textuelles (JADT'12) ; https://hal.archives-ouvertes.fr/hal-00675586 ; 11es Journées Internationales d'Analyse Statistique des Données Textuelles (JADT'12), Jun 2012, Liège, Belgique. pp.821-833 ; http://lexicometrica.univ-paris3.fr/jadt/jadt2012/tocJADT2012.htm (2012)
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What About Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics ? »
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-01481920 ; Computational Linguistics and Intelligent Text Processing, 7181, Springer Berlin Heidelberg, pp.166-177, 2012, ⟨10.1007/978-3-642-28604-9_14⟩ (2012)
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Graph Mining Under Linguistic Constraints to Explore LargeTexts ; Fouille de graphes sous contraintes linguistiques pour l'exploration de grands textes
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2012 [vol. 2 : TALN] ; Conférence sur le Traitement Automatique des Langues Naturelles (TALN'12) ; https://hal.archives-ouvertes.fr/hal-00702606 ; Conférence sur le Traitement Automatique des Langues Naturelles (TALN'12), Jun 2012, Grenoble, France. pp.253-266 ; https://www.aclweb.org/anthology/F12-2019.pdf (2012)
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What About Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics?
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In: Computational Linguistics and Intelligent Text Processing : 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings, Part I ; CICLing 2012: Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-00675578 ; CICLing 2012: Computational Linguistics and Intelligent Text Processing, Mar 2012, New Delhi, India. pp.166-177, ⟨10.1007/978-3-642-28604-9_14⟩ (2012)
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Word Extraction Associated with a Confidence Index for On-Line Handwritten Sentence Recognition
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In: ISSN: 0218-0014 ; EISSN: 0218-0014 ; International Journal of Pattern Recognition and Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-00582420 ; International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2009, 23 (5), pp.945-966. ⟨10.1142/S0218001409007442⟩ (2009)
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Handling out-of-vocabulary words and recognition errors based on word linguistic context for handwritten sentence recognition
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In: Proceedings of the International Conference on Document Analysis and Recognition (ICDAR) ; International Conference on Document Analysis and Recognition (ICDAR) ; https://hal.archives-ouvertes.fr/hal-00582433 ; International Conference on Document Analysis and Recognition (ICDAR), Jul 2009, Barcelona, Spain. pp.466-470 (2009)
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Integration of linguistic knowledge for the recognition of on-line handwritten texts ; Intégration de connaissances linguistiques pour la reconnaissance de textes manuscrits en-ligne
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In: https://tel.archives-ouvertes.fr/tel-00580623 ; Interface homme-machine [cs.HC]. INSA de Rennes, 2007. Français (2007)
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Statistical Language Models for On-line Handwritten Sentence Recognition
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In: Proceedings of the International Conference on Document Analysis and Recognition ; International Conference on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-00580641 ; International Conference on Document Analysis and Recognition, Aug 2005, Seoul, South Korea. pp.516-520 (2005)
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Abstract:
International audience ; This paper investigates the integration of a statistical language model into an on-line recognition system in order to improve word recognition in the context of handwritten sentences. Two kinds of models have been considered: n-gram and n-class models (with a statistical approach to create word classes). All these models are trained over the Susanne corpus and experiments are carried out on sentences from this corpus which were written by several writers. The use of a statistical language model is shown to improve the word recognition rate and the relative impact of the different language models is compared. Furthermore, we illustrate the interest to define an optimal cooperation between the language model and the recognition system to re-enforce the accuracy of the system.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; handwriting recognition; language modeling
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URL: https://hal.archives-ouvertes.fr/hal-00580641 https://hal.archives-ouvertes.fr/hal-00580641/file/quiniou05statistical.pdf https://hal.archives-ouvertes.fr/hal-00580641/document
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