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1
Linguistic repositories as asset: Challenge for sociolinguistic approach in Brazil
Freitag, Raquel Meister Ko.. - : University of North Texas, 2021
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2
How software features and linguistic analyses add value to orthographic markup in transcription of multilingual recordings for digital archives
Rodriguez, Enrique; Vann, Robert E.. - : University of North Texas, 2021
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3
Track to the past: tracking workflows, versions, and citations of legacy language data
Weber, Tobias. - : University of North Texas, 2021
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4
Challenges in heritage language documentations: BraPoRus, spoken corpus of reritage Russian in Brazil
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5
Linguistic archives and language communities questionnaire
Khait, Ilya; Lukschy, Leonore; Seyfeddinipur, Mandana. - : University of North Texas, 2021
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6
Linguistic analysis, ethical practice, and quality assurance in anonymizing recordings of spoken language for deposit in digital archives
Ovalle Lopez, Diana Sofia; Vann, Robert E.. - : University of North Texas, 2021
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7
Extraction de l'information implicite par analyse textuelle de sites internet en UNICODE
In: Actes du Colloque Veille Stratégique Scientifique et Technologique (VSST) , Nancy , 2009 ; Second séminaire VSST ; https://hal.archives-ouvertes.fr/hal-00381546 ; Second séminaire VSST, Mar 2009, Nancy, France. pp.000 (2009)
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8
Extraction de l'information implicite par analyse textuelle de sites Web en UNICODE
In: Second séminaire VSST : Veille Stratégique Scientifique & Technologique, Systèmes d'information élaborée, Bibliométrie ; https://hal.archives-ouvertes.fr/hal-00379800 ; Second séminaire VSST : Veille Stratégique Scientifique & Technologique, Systèmes d'information élaborée, Bibliométrie, Mar 2009, Nancy, France (2009)
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9
UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP
In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
Abstract: This paper describes the participation of the University of Neuchâtel to the CLEF 2008 evaluation campaign. In the Persian ad hoc task, we suggest using a light suffix-stripping algorithm for the Farsi language and the evaluations demonstrated that such an approach performs better than a simple light stemmer, an approach ignoring the stemming stage or a language independent approach (n-gram). The use of a blind query expansion (e.g., Rocchio’s model) may improve the retrieval effectiveness. Combining different indexing and search strategies may further enhance the corresponding MAP. In the Intellectual Property (IP) task, we try different strategies to select and weight pertinent words to be extracted from a patent description in order to form an effective query. We also evaluated different search models and found that probabilistic models tend to perform better than vector-space schemes.
Keyword: Algorithms. Keywords Intellectual Property; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; H.2.3 [Database Management; H.3.1 Content Analysis and Indexing; H.3.3 Infor- mation Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital Libraries; Languages—Query Languages General Terms Experimentation; Measurement; Performance; Persian Language; Stemming
URL: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.1039
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10
Benefits of deep NLP-based lemmatization for information retrieval
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Halacsy2006.pdf
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11
Amharic-English Information Retrieval
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/atelachalemuargawCLEF2006.pdf
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12
F.: Query Wikification: Mining Structured Queries From Unstructured Information Needs using Wikipedia-based Semantic Analysis
In: http://clef.isti.cnr.it/2009/working_notes/Jadidinejad-paperCLEF2009.pdf
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13
Statistical Machine Translation and Cross-Language IR: QMUL at CLEF 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Monz2006.pdf
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14
CUHK Experiments with ImageCLEF 2005 ∗
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/hoi05.pdf
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