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The Pennsylvania State University CiteSeerX Archives (131)
MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES (11)
Carol Peters (10)
Nicola Ferro (10)
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Oard, Douglas W. (9)
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Hits 1 – 20 of 304
1
nkresearch ...
hyun, eileen
. - : figshare, 2022
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2
nkresearch ...
hyun, eileen
. - : figshare, 2022
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3
nkresearch ...
hyun, eileen
. - : figshare, 2022
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nkresearch ...
hyun, eileen
. - : figshare, 2022
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5
nkresearch ...
hyun, eileen
. - : figshare, 2022
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6
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Meuschke, Norman
. - 2021
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7
Cross language plagiarism detection with contextualized word embeddings ; Detecção de plágio multilíngue usando word embeddings contextualizadas
Vaz, Delton de Andrade
. - 2021
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8
A project-based approach to translation technology
Mitchell-Schuitevoerder, Rosemary
. - New York : Routledge, 2020
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UB Frankfurt Linguistik
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9
Adapting Automatic Summarization to New Sources of Information
Ouyang, Jessica Jin
. - 2019
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10
Multilingual Information Access (MLIA) Tools on Google and WorldCat: Bi/Multilingual University Students’ Experience and Perceptions
Nzomo, P.
;
Vaughan, Liwen
;
Ajiferuke, Isola
...
In: FIMS Publications (2019)
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11
Word embeddings for monolingual and cross-language domain-specific information retrieval ; Ordinbäddningar för enspråkig och tvärspråklig domänspecifik informationssökning
Wigder, Chaya
. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018
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12
Cross-view Embeddings for Information Retrieval
Gupta, Parth Alokkumar
. - : Universitat Politècnica de València, 2017
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13
A Cross-domain and Cross-language Knowledge-based Representation of Text and its Meaning
Franco Salvador, Marc
. - : Universitat Politècnica de València, 2017
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14
On the Feasibility of Character n-Grams Pseudo-Translation for Cross-Language Information Retrieval Tasks
Vilares, Jesús
;
Vilares, Manuel
;
Alonso, Miguel A
. - 2016
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15
Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval
Vilares, Jesús
;
Alonso, Miguel A
;
Doval, Yerai
. - 2016
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16
Quantifying cross-lingual semantic similarity for natural language processing applications
Wäschle, Katharina
. - 2015
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UB Frankfurt Linguistik
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17
A comparative study of online translation services for cross language Information retrieval
Liu, Qun
;
Jones, Gareth J.F.
;
Arora, Piyush
...
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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18
Mining Documents and Sentiments in Cross-lingual Context ; Fouille de documents et d’opinions multilingue
Saad, Motaz
. - : HAL CCSD, 2015
In: https://hal.inria.fr/tel-01751251 ; Document and Text Processing. Université de Lorraine, 2015. English. ⟨NNT : 2015LORR0003⟩ (2015)
Abstract:
The aim of this thesis is to study sentiments in comparable documents. First, we collect English, French and Arabic comparable corpora from Wikipedia and Euronews, and we align each corpus at the document level. We further gather English-Arabic news documents from local and foreign news agencies. The English documents are collected from BBC website and the Arabic document are collected from Al-jazeera website. Second, we present a cross-lingual document similarity measure to automatically retrieve and align comparable documents. Then, we propose a cross-lingual sentiment annotation method to label source and target documents with sentiments. Finally, we use statistical measures to compare the agreement of sentiments in the source and the target pair of the comparable documents. The methods presented in this thesis are language independent and they can be applied on any language pair. ; L'objectif de cette thèse est d'étudier les sentiments dans les documents comparables. Premièr\-ement, nous avons recueillis des corpus comparables en anglais, français et arabe de Wikipédia et d’Euronews, et nous avons aligné ces corpus au niveau document. Nous avons en plus collecté des documents d’informations des agences de presse locales et étrangères dans les langues anglaise et arabe. Les documents en anglais ont été recueillis du site de la BBC, ceux en arabe du site d’Al-Jazzera. Deuxièmement, nous avons présenté une mesure de similarité coss-linguistique des documents dans le but de récupérer et aligner automatiquement les documents comparables. Ensuite, nous avons proposé une méthode d’annotation cross-linguistique en termes de sentiments, afin d’étiqueter les documents source et cible avec des sentiments. Enfin, nous avons utilisé des mesures statistiques pour comparer l'accord des sentiments entre les documents comparables source et cible. Les méthodes présentées dans cette thèse ne dépendent pas d’une paire de langue bien déterminée, elles peuvent être appliquées sur toute autre couple de langue.
Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
;
analyse des sentiments
;
comparable corpus
;
corpus comparable
;
cross-lingual information retrieval
;
cross-lingual projection
;
Fouille de textes
;
natural language processing
;
projection inter-langues
;
recherche d’information inter-langues
;
sentiment analysis
;
text mining
;
traitement automatique du langage naturel
URL:
https://hal.inria.fr/tel-01751251v2/file/saad_phd.pdf
https://hal.inria.fr/tel-01751251v2/document
https://hal.inria.fr/tel-01751251
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19
International Journal Of Web & Semantic Technology (Ijwest) ...
Zuliarso, Eri
. - : Zenodo, 2015
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20
International Journal Of Web & Semantic Technology (Ijwest) ...
Zuliarso, Eri
. - : Zenodo, 2015
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