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For a fistful of blogs: Discovery and comparative benchmarking of republishable German content
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Extended abstracts of the ESSLLI 2015 workshop TYTLES: Types Theory and Lexical Semantics
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In: https://hal.archives-ouvertes.fr/hal-01584832 ; Aug 2015, Barcelona, Spain. 2015 (2015)
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Improving the performance of an example-based machine translation system using a domain-specific bilingual lexicon
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In: 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 ; https://hal-cea.archives-ouvertes.fr/cea-01844060 ; 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, Oct 2015, Shangai, China. pp.106-115 (2015)
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Evaluating the impact of using a domain-specific bilingual lexicon on the performance of a hybrid machine translation approach
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In: 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201 ; https://hal-cea.archives-ouvertes.fr/cea-01844051 ; 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201, Sep 2015, Hissar, Bulgaria. pp.579-587 (2015)
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ИССЛЕДОВАНИЕ ВЛИЯНИЯ ПОЛА И ПСИХОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК АВТОРА НА КОЛИЧЕСТВЕННЫЕ ПАРАМЕТРЫ ЕГО ТЕКСТА С ИСПОЛЬЗОВАНИЕМ ПРОГРАММЫ LINGUISTIC INQUIRY AND WORD COUNT
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Framing Annotation Data for News Articles ; Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News
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DCU-ADAPT: Learning edit operations for microblog normalisation with the generalised perceptron
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In: Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2015) DCU-ADAPT: Learning edit operations for microblog normalisation with the generalised perceptron. In: ACL 2015 Workshop on Noisy User-generated Text (W-NUT), 31 July 2015, Beijing, China. (2015)
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The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content
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Zadeh Kaljahi, Rasoul Samad. - : Dublin City University. School of Computing, 2015. : Dublin City University. National Centre for Language Technology (NCLT), 2015. : Dublin City University. ADAPT, 2015
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In: Zadeh Kaljahi, Rasoul Samad (2015) The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content. PhD thesis, Dublin City University. (2015)
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A comparative study of online translation services for cross language Information retrieval
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In: Hosseinzadeh Vahid, Ali, Arora, Piyush orcid:0000-0002-4261-2860 , Liu, Qun orcid:0000-0002-7000-1792 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2015) A comparative study of online translation services for cross language Information retrieval. In: 24th International Conference on World Wide Web Companion, 18–22 May 2015, Florence, Italy. ISBN 978-1-4503-3473-0 (2015)
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DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2
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In: Arora, Piyush orcid:0000-0002-4261-2860 , Hokamp, Chris orcid:0000-0002-7850-9398 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2015) DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2. In: International Workshop on Semantic Evaluation (SemEval 2015), 4-5 June 2015, Denver, Co. USA. (2015)
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Towards the development of localised and reusable teaching and learning content and resources for languages: From one content database to many teaching and learning resource outputs
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Keogh, Katrina A.. - : Dublin City University. School of Applied Language and Intercultural Studies, 2015
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In: Keogh, Katrina A. (2015) Towards the development of localised and reusable teaching and learning content and resources for languages: From one content database to many teaching and learning resource outputs. PhD thesis, Dublin City University. (2015)
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Domain adaptation for machine translation with instance selection
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In: Bicici, Ergun (2015) Domain adaptation for machine translation with instance selection. The Prague Bulletin of Mathematical Linguistics, 103 (1). pp. 5-20. ISSN 1804-0462 (2015)
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QuEst for high quality machine translation
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In: Bicici, Ergun (2015) QuEst for high quality machine translation. The Prague Bulletin of Mathematical Linguistics, 103 (1). pp. 43-64. ISSN 1804-0462 (2015)
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Sentence syntax trees should be made from morphemes. Semantically ordered trees
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Extraction of person names from texts in Portuguese: an approach with local grammars ; Extração de nomes de pessoas em textos em português : uma abordagem usando gramáticas locais
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In: Anais do Computer on the Beach ; Computer on the Beach ; https://hal.archives-ouvertes.fr/hal-01134971 ; Computer on the Beach, Universidade do Vale do Itajaí (UNIVALI); Centro de Ciências Tecnológicas da Terra e do Mar (CTTMar), Mar 2015, Florianópolis, Brazil. pp.1-10 (2015)
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Systematic generation of standard compliant tool support of diagrammatic modeling languages
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In: 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS) ; https://hal-cea.archives-ouvertes.fr/cea-01836563 ; 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), Sep 2015, Ottawa, Canada. pp.348-357, ⟨10.1109/MODELS.2015.7338266⟩ (2015)
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The Role of Empirical Evidence in Modeling Speech Segmentation
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In: Phillips, Lawrence. (2015). The Role of Empirical Evidence in Modeling Speech Segmentation. UC Irvine: Psychology. Retrieved from: http://www.escholarship.org/uc/item/9h52f3zk (2015)
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Unsupervised extraction of semantic relations using discourse information ; Extraction non supervisée de relations sémantiques par l'analyse du discours
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In: https://tel.archives-ouvertes.fr/tel-01373965 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2015. English. ⟨NNT : 2015TOU30202⟩ (2015)
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A high-level syntactic formalism for natural language processing ; Mise au point d'un formalisme syntaxique de haut niveau pour le traitement automatique des langues
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In: https://tel.archives-ouvertes.fr/tel-01267716 ; Informatique. Université de Bordeaux, 2015. Français. ⟨NNT : 2015BORD0330⟩ (2015)
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Abstract:
The goal of computational linguistics is to provide a formal account linguistical knowledge, and to produce algorithmic tools for natural languageprocessing. Often, this is done in a so-called generative framework, where grammars describe sets of valid sentences by iteratively applying some set of rewrite rules. Another approach, based on model theory, describes instead grammaticality as a set of well-formedness logical constraints, relying on deep links between logic and automata in order to produce efficient parsers. This thesis favors the latter approach. Making use of several existing results in theoretical computer science, we propose a tool for linguistical description that is both expressive and designed to facilitate grammar engineering. It first tackles the abstract structure of sentences, providing a logical language based on lexical properties of words in order to concisely describe the set of grammaticaly valid sentences. It then draws the link between these abstract structures and their representations (both in syntax and semantics), through the use of linearization rules that rely on logic and lambda-calculus. Then in order to validate this proposal, we use it to model various linguistic phenomenas, ending with a specific focus on languages that include free word order phenomenas (that is, sentences which allow the free reordering of some of their words or syntagmas while keeping their meaning), and on their algorithmic complexity. ; La linguistique informatique a pour objet de construire un modèle formel des connaissances linguistiques, et d’en tirer des algorithmes permettant le traitement automatique des langues. Pour ce faire, elle s’appuie fréquemment sur des grammaires dites génératives, construisant des phrases valides par l’application successive de règles de réécriture. Une approche alternative, basée sur la théorie des modèles, vise à décrire la grammaticalité comme une conjonction de contraintes de bonne formation, en s’appuyant sur des liens profonds entre logique et automates pour produire des analyseurs efficaces. Notre travail se situe dans ce dernier cadre. En s’appuyant sur plusieurs résultats existants en informatique théorique, nous proposons un outil de modélisation linguistique expressif, conçu pour faciliter l’ingénierie grammaticale. Celui-ci considère dans un premier temps la structure abstraite des énoncés, et fournit un langage logique s’appuyant sur les propriétés lexicales des mots pour caractériser avec concision l’ensemble des phrases grammaticalement correctes. Puis, dans un second temps, le lien entre ces structures abstraites et leurs représentations concrètes (en syntaxe et en sémantique) est établi par le biais de règles de linéarisation qui exploitent la logique et le lambda-calcul. Par suite, afin de valider cette approche, nous proposons un ensemble de modélisations portant sur des phénomènes linguistiques divers, avec un intérêt particulier pour le traitement des langages présentant des phénomènes d’ordre libre (c’est-à-dire qui autorisent la permutation de certains mots ou groupes de mots dans une phrase sans affecter sa signification), ainsi que pour leur complexité algorithmique.
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Keyword:
[SCCO.COMP]Cognitive science/Computer science; Abstract categorial grammars; Computational linguistics; Grammaires catégorielles abstraites; Lambda-calcul; Lambda-calculus; Linguistique informatique; Logic; Logique; Model-theoretic syntax; Syntaxe modèle-théorique
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URL: https://tel.archives-ouvertes.fr/tel-01267716
https://tel.archives-ouvertes.fr/tel-01267716/document
https://tel.archives-ouvertes.fr/tel-01267716/file/KIRMAN_JEROME_2015.pdf
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From Logic to Language ; de la logique à la langue ; From Logic to Language: Natural Language Generation from Logical Forms
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In: https://hal.inria.fr/tel-01342434 ; Linguistics. University of Groningen, 2015. English (2015)
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