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1
The lemmatization of Old English verbs from the second weak class on a lexical database
In: Journal of English studies. - Logroño : Servicio de Publicaciones 13 (2015), 135-156
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2
Automatic prominent syllable detection with machine learning classifiers
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 4, 583-592
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3
Slovnědruhová a morfologická homonymie, homofonie a homografie v současné češtině : = Part-of-speech and morphological ambiguity, homophony and homography in contemporary Czech
In: Časopis pro moderní filologii. - Praha : Ústav pro Jazyk Český AV ČR 97 (2015) 2, 127-135
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Korpusy jako zdroje dat pro úpravy nástrojů automatické morfologické analýzy (slovotvorné varianty adjektiv na [(ou)/í]cí z hlediska morfologického značkování) : = Corpora as data sources for the up-grading of morphological tagging
In: Časopis pro moderní filologii. - Praha : Ústav pro Jazyk Český AV ČR 97 (2015) 2, 136-145
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5
For a fistful of blogs: Discovery and comparative benchmarking of republishable German content
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6
Improving the performance of an example-based machine translation system using a domain-specific bilingual lexicon
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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7
Evaluating the impact of using a domain-specific bilingual lexicon on the performance of a hybrid machine translation approach
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
ЛИТВИНОВА ТАТЬЯНА АЛЕКСАНДРОВНА; ЛИТВИНОВА ОЛЬГА АЛЕКСАНДРОВНА; РЫЖКОВА ЕКАТЕРИНА СЕРГЕЕВНА. - : Общество с ограниченной ответственностью "Центр научных и образовательных проектов", 2015
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9
DCU-ADAPT: Learning edit operations for microblog normalisation with the generalised perceptron
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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10
A comparative study of online translation services for cross language Information retrieval
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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11
DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2
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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12
Domain adaptation for machine translation with instance selection
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)
Abstract: Domain adaptation for machine translation (MT) can be achieved by selecting training instances close to the test set from a larger set of instances. We consider 7 different domain adaptation strategies and answer 7 research questions, which give us a recipe for domain adaptation in MT. We perform English to German statistical MT (SMT) experiments in a setting where test and training sentences can come from different corpora and one of our goals is to learn the parameters of the sampling process. Domain adaptation with training instance selection can obtain 22% increase in target 2-gram recall and can gain up to 3.55 BLEU points compared with random selection. Domain adaptation with feature decay algorithm (FDA) not only achieves the highest target 2-gram recall and BLEU performance but also perfectly learns the test sample distribution parameter with correlation 0.99. Moses SMT systems built with FDA selected 10K training sentences is able to obtain $F_1$ results as good as the baselines that use up to 2M sentences. Moses SMT systems built with FDA selected 50K training sentences is able to obtain 1 F1 point better results than the baselines.
Keyword: Computational linguistics; Information retrieval; Machine translating
URL: http://doras.dcu.ie/20648/
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13
QuEst for high quality machine translation
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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14
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
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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15
Systematic generation of standard compliant tool support of diagrammatic modeling languages
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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16
Handwritten word recognition using Web resources and recurrent neural networks
In: International Journal on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-01845537 ; International Journal on Document Analysis and Recognition, 2015, 18 (4), pp.287-301. ⟨10.1007/s10032-015-0251-1⟩ (2015)
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17
Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.inria.fr/hal-01250777 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000716 (2015)
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18
The unclaimable rhythm of the wounded memory ; The unclaimable rhythm of the wounded memory: Musical structure of testimony as a window into the memory of the lived experience
In: The Holocaust and the Contemporary World International Interdisciplinary Conference ; https://hal.archives-ouvertes.fr/hal-03201722 ; The Holocaust and the Contemporary World International Interdisciplinary Conference, Apr 2015, Cracovia, Poland (2015)
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19
Introduction to ACESMB 2015- Model-based architecting of cyber-physical and embedded systems
In: 8th Joint International Workshop on Model-Based Architecting of Cyber-Physical and Embedded Systems and 1st International Workshop on UML Consistency Rules, ACES-MB 2015 and WUCOR 2015 ; https://hal-cea.archives-ouvertes.fr/cea-01844050 ; 8th Joint International Workshop on Model-Based Architecting of Cyber-Physical and Embedded Systems and 1st International Workshop on UML Consistency Rules, ACES-MB 2015 and WUCOR 2015, Sep 2015, Ottawa, Canada. pp.1-2 (2015)
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20
Fast as a shadow, expressive as a tree: Hybrid memory monitoring for C.
In: SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing ; https://hal-cea.archives-ouvertes.fr/cea-01836267 ; SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.1765-1772, ⟨10.1145/2695664.2695815⟩ (2015)
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