Výsledky vyhledávání - "Danielly Sorato"

D4.6 Guidelines for further use of MT systems in social surveys

Autor: Dušan Variš, Hajič, Jan, Ceccon, Dani, Danielly Sorato

This report describes guidelines that can be applied for training specialized neural machine translation (NMT) systems aimed at translation in a narrow textual domain, namely the domain of social surveys, requiring a specialized MT model that is able

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::188bf0e7c5a67a1a1c65008ade775b0a

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The Multilingual Corpus of Survey Questionnaires [MCSQ] - SSHOC Service Catalogue's Factsheets Series

Autor: Diana Zavala-Rojas, Danielly Sorato, Knut Hofland, Lidun Hareide

Multilingual social surveys have become the main source of data to conduct cross-national comparative research. Translation procedures are transitioning to a larger adoption of Computer- Assisted Translation tools, which require the creation of text

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Sentence Alignment of Bilingual Survey Texts applying a Metadata-aware Strategy

Autor: Diana Zavala-Rojas, Danielly Sorato

Publikováno v: International Conference on Natural Language & Information Systems (NLDB), edited by Paolo Rosso, Valerio Basile, Raquel Martínez, Elisabeth Métais, and Farid Meziane
Natural Language Processing and Information Systems ISBN: 9783031084720
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Natural Language Processing and Information Systems

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SSHOC Webinar: The Multilingual Corpus of Survey Questionnaires

Autor: Danielly Sorato

This was an interactive webinar aimed at all academics and practitioners from the fields of Sociology, Communication Sciences, Lexicology, Linguistics and Translation Studies, who are interested in international comparable surveys, survey research an

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D4.3 Survey specific parallel corpora

Autor: Zavala-Rojas, Diana, Danielly Sorato

This document describes the [MCSQ]: Multilingual Corpus of Survey Questionnaires (MCSQ), a database of survey questionnaires’ texts. The report summarizes technical information about Version 1.0 (Ada Lovelace) of the MCSQ, dated in June 2020. It li

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MS17 Open source CAT TM software selected

Autor: Diana Zavala-Rojas, Veronika Keck, Danielly Sorato, Dorothée Behr, Brita Dorer

This report documents the selection criteria of an open source Computer Assisted Translation tool with Translation Memory functionalities that will be used in the translation research activities of Task 4.3. of the SSHOC project. The TAsk team descri

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https://doi.org/10.5281/zenodo.4581806

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Linguistic Pattern Mining for Data Analysis in Microblog Texts using Word Embeddings

Autor: Danielly Sorato, Renato Fileto

Publikováno v: SBSI

Microblog posts (e.g. tweets) often contain users opinions and thoughts about events, products, people, organizations, among other possibilities. However, the usage of social media to promote online disinformation and manipulation is not an uncommon

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https://doi.org/10.1145/3330204.3330228

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Short Semantic Patterns: A Linguistic Pattern Mining Approach for Content Analysis Applied to Hate Speech

Autor: Fábio Bif Goularte, Renato Fileto, Danielly Sorato

Publikováno v: International Journal on Artificial Intelligence Tools. 29:2040002

Microblog posts such as tweets frequently contain users’ opinions and thoughts about events, products, people, institutions, etc. However, the usage of social media to prop-agate hate speech is not an uncommon occurrence. Analyzing hateful speech i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34924ed7cb428a970cdf0e375c0c5069
https://doi.org/10.1142/s0218213020400023

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MSC+: Language pattern learning for word sense induction and disambiguation

Autor: Horacio Saggion, Danielly Sorato, Fábio Bif Goularte, Renato Fileto, Silvia Modesto Nassar

Publikováno v: Knowledge-Based Systems. 188:105017

Identifying the correct meaning of words in context or discovering new word senses is particularly useful for several tasks such as question answering, information extraction, information retrieval, and text summarization. However, specially in the c

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https://doi.org/10.1016/j.knosys.2019.105017

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Análise de Métodos e Ferramentas para Reconhecimento de Palavras Relevantes em Microblogs

Autor: Fábio Bif Goularte, Renato Fileto, Danielly Sorato, Silvia Modesto Nassar

Publikováno v: Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI).

Extrair informações acuradas dos enormes volumes de dados, muitos dos quais não estruturados, gerados em mídias sociais é um grande desafio atualmente, mas com diversas aplicações relevantes, muitas delas ainda latentes. Um dos primeiros e mai

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https://doi.org/10.5753/sbsi.2016.5981

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