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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6...19 Hits 21 – 40 of 378 21 Annotation of prominences for the segmentation of oral corpora: the Segcor project experiment ; Annotation des proéminences pour la segmentation de corpus oraux : l'expérience du projet SegCor Delafontaine, François; Ursi, Biagio; Acosta Córdoba, Luisa In: ISSN: 2261-2424 ; SHS Web of Conferences ; https://hal.archives-ouvertes.fr/hal-01959747 ; SHS Web of Conferences, EDP Sciences, 2018, 6e Congrès Mondial de Linguistique Française, 46 (2018) BASE Show details 22 Automatic annotation of facial actions from a video record: The case of eyebrows raising and frowning Rauzy, Stéphane; Goujon, Aurélie In: Workshop on "Affects, Compagnons Artificiels et Interactions", WACAI 2018 ; https://hal.archives-ouvertes.fr/hal-01769684 ; Workshop on "Affects, Compagnons Artificiels et Interactions", WACAI 2018, Magalie Ochs, Jun 2018, Porquerolles, France. 7 p ; http://www.lsis.org/wacai2018/ (2018) BASE Show details 23 Per Channel Automatic Annotation of Sign Language Motion Capture Data Naert, Lucie; Reverdy, Clément; Larboulette, Caroline... In: Workshop on the Representation and Processing of Sign Languages: Involving the Language Community, LREC 2018 ; https://hal.archives-ouvertes.fr/hal-01851404 ; Workshop on the Representation and Processing of Sign Languages: Involving the Language Community, LREC 2018, May 2018, Miyazaki Japan (2018) BASE Show details 24 Korpuslinguistik im Alltag linguistischer Forschung Eichinger, Ludwig M. In: Korpuslinguistik. - Duisburg : Universitätsverlag Rhein-Ruhr OHG (2018), 69-82 BLLDB Show details 25 Functional text dimensions for the annotation of web corpora Sharoff, Serge In: Corpora. - Edinburgh : Univ. Press 13 (2018) 1, 65-95 BLLDB Show details 26 A Review Study - In Image Retrieval Bridging Of Semantic Gap ... Rajat Pratap; Gautam, Arti; Malik, Annu. - : Zenodo, 2018 BASE Show details 27 A Review Study - In Image Retrieval Bridging Of Semantic Gap ... Rajat Pratap; Gautam, Arti; Malik, Annu. - : Zenodo, 2018 BASE Show details 28 Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian Sanchez-Cartagena, Victor Manuel; Toral, Antonio; Klubicka, Filip In: Articles (2018) BASE Show details 29 New methods of bringing image data into historical linguistics: a case study with medical writing 1500-1700 Tyrkkö, Jukka In: Studia neophilologica. - New York, NY [u.a.] : Routledge, Taylor & Francis Group (2017), 90-108 BLLDB Show details 30 Partikelverben im 'GeWiss'-Korpus: Ansätze zur Analyse von Einflussfaktoren auf Kontakt- und Distanzstellung Wallner, Franziska; Stoppel, David In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 123-139 BLLDB Show details 31 Diskursmarker funktional: eine quantitativ-qualitative Beschreibung annotierter Diskursmarker im 'GeWiss'-Korpus Wallner, Franziska In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 107-122 BLLDB Show details 32 Die orthografische Normalisierung und Annotation von Wortarten gesprochensprachlicher Daten am Beispiel des 'GeWiss'-Korpus Wallner, Franziska In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 51-77 BLLDB Show details 33 Zur Integration des 'GeWiss'-Korpus in die CLARIN-Infrastruktur Jettka, Daniel In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 31-47 BLLDB Show details 34 Die Annotation von Zitaten und Verweisen im 'GeWiss'-Korpus Sadowski, Sabrina In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 143-163 BLLDB Show details 35 Zur Annotation von Modal-, Intensitäts- und Fokus-/Gradpartikeln im 'GeWiss'-Korpus Bochniak, Kornelia; Gräfe, Karen; Iliash, Anna In: Gesprochene Wissenschaftssprache - digital. - Tübingen : Stauffenburg Verlag (2017), 79-106 BLLDB Show details 36 CoNLL 2017 Shared Task - Automatically Annotated Raw Texts and Word Embeddings Ginter, Filip; Hajič, Jan; Luotolahti, Juhani. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 37 QT21 Data Specia, Lucia. - : QT21 project, 2017 BASE Show details 38 A Novel and Robust Approach for Pro-Drop Language Translation Wang, Longyue; Tu, Zhaopeng; Zhang, Xiaojun; Liu, Siyou; Li, Hang; Way, Andy; Liu, Qun. - : Springer, 2017 Abstract: A significant challenge for machine translation (MT) is the phenomena of dropped pronouns (DPs), where certain classes of pronouns are frequently dropped in the source language but should be retained in the target language. In response to this common problem, we propose a semi-supervised approach with a universal framework to recall missing pronouns in translation. Firstly, we build training data for DP generation in which the DPs are automatically labelled according to the alignment information from a parallel corpus. Secondly, we build a deep learning-based DP generator for input sentences in decoding when no corresponding references exist. More specifically, the generation has two phases: (1) DP position detection, which is modeled as a sequential labelling task with recurrent neural networks; and (2) DP prediction, which employs a multilayer perceptron with rich features. Finally, we integrate the above outputs into our statistical MT (SMT) system to recall missing pronouns by both extracting rules from the DP-labelled training data and translating the DP-generated input sentences. To validate the robustness of our approach, we investigate our approach on both Chinese–English and Japanese–English corpora extracted from movie subtitles. Compared with an SMT baseline system, experimental results show that our approach achieves a significant improvement of++1.58 BLEU points in translation performance with 66% F-score for DP generation accuracy for Chinese–English, and nearly++1 BLEU point with 58% F-score for Japanese–English. We believe that this work could help both MT researchers and industries to boost the performance of MT systems between pro-drop and non-pro-drop languages. Keyword: Dropped pronoun annotation; Dropped pronoun generation; Machine translation; Multilayer perceptron; Pro-drop language; Recurrent neural networks; Semi-supervised approach URL: https://doi.org/10.1007/s10590-016-9184-9 http://dspace.stir.ac.uk/bitstream/1893/24678/1/Wang_etal_MachTranslat_2017.pdf http://hdl.handle.net/1893/24678 BASE Hide details 39 Eesti lastekeele korpuse morfoloogilise märgendamise kitsaskohtadest Kristiina Vaik; Virve-Anneli Vihman In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 13, Pp 205-221 (2017) (2017) BASE Show details 40 Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo George Christodoulides; Giulia Barreca In: Corela (2017) (2017) BASE Show details Page: 1 2 3 4 5 6...19

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