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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 Hits 1 – 20 of 20 1 Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.1 Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk. - : Jožef Stefan Institute, 2019 BASE Show details 2 CMC training corpus Janes-Tag 2.1 Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2019 BASE Show details 3 Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1 Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk. - : Jožef Stefan Institute, 2019 BASE Show details 4 Unsupervised Creation of Normalisation Dictionaries for Micro-Blogs in Arabic, French and English HTAIT, Amal; Fournier, Sébastien; Bellot, Patrice In: 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018) ; https://hal.archives-ouvertes.fr/hal-01795348 ; 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), Mar 2018, Hanoi, Vietnam (2018) Abstract: International audience ; Text normalisation is a necessity to correct and make more sense of the micro-blogs messages, for information retrieval purposes. Unfortunately, tools and resources of text normalisation are rarely shared. In this paper, an approach is presented based on an unsupervised method for text normalisation using distributed representations of words, known also as "word embedding", applied on Arabic, French and English Languages. In addition, a tool will be supplied to create dictionaries for micro-blogs normalisation, in a form of pairs of misspelled word with its standard-form word, in the languages: Arabic, French and English. The tool will be available as open source including the resources: word embedding's models (with vocabulary size of million words for Arabic language model, million words for English language model and thousand words for French language model), and also three normalisation dictionaries of thousand pairs in Arabic language, thousand pairs in French language and thousand pairs in English language. The evaluation of the tool shows an average in N ormalisation success of % for English language, .% for Arabic Language and % for French Language. Also, the results of using an English language normalisation dictionary with a sentiment analysis tool for micro-blog's messages, show an increase in f-measure from. to . Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]; arabic; dictionaries; french; micro-blogs; multilingual; normalisation; unsuper- vised; word embedding URL: https://hal.archives-ouvertes.fr/hal-01795348 https://hal.archives-ouvertes.fr/hal-01795348/document https://hal.archives-ouvertes.fr/hal-01795348/file/AmalHtait_CICLing2018.pdf BASE Hide details 5 CMC training corpus Janes-Tag 2.0 Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2017 BASE Show details 6 Croatian Twitter training corpus ReLDI-NormTag-hr 1.1 Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017 BASE Show details 7 Serbian Twitter training corpus ReLDI-NormTag-sr 1.0 Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017 BASE Show details 8 Croatian Twitter training corpus ReLDI-NormTag-hr 1.0 Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017 BASE Show details 9 Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.0 Ljubešić, Nikola; Erjavec, Tomaž; Miličević, Maja. - : Jožef Stefan Institute, 2017 BASE Show details 10 Wikipedia talk corpus Janes-Wiki 1.0 Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2017 BASE Show details 11 Serbian Twitter training corpus ReLDI-NormTag-sr 1.1 Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017 BASE Show details 12 News comment corpus Janes-News 1.0 Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2017 BASE Show details 13 Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.0 Ljubešić, Nikola; Erjavec, Tomaž; Miličević, Maja. - : Jožef Stefan Institute, 2017 BASE Show details 14 Blog post and comment corpus Janes-Blog 1.0 Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2017 BASE Show details 15 cSMTiser: word standardisation Ljubešić, Nikola; Perovšek, Matic; Erjavec, Tomaž. - : Jožef Stefan Institute, 2017 BASE Show details 16 Forum corpus Janes-Forum 1.0 Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2017 BASE Show details 17 Twitter corpus Janes-Tweet 1.0 Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2017 BASE Show details 18 Dataset of normalised Slovene text KonvNormSl 1.0 Ljubešić, Nikola; Zupan, Katja; Fišer, Darja. - : Jožef Stefan Institute, 2016 BASE Show details 19 CMC training corpus Janes-Tag 1.2 Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2016 BASE Show details 20 CMC training corpus Janes-Norm 1.2 Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2016 BASE Show details

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