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Titlebook: Computational Processing of the Portuguese Language; 12th International C Jo?o Silva,Ricardo Ribeiro,António Branco Conference proceedings

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發(fā)表于 2025-3-21 18:58:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Processing of the Portuguese Language
副標(biāo)題12th International C
編輯Jo?o Silva,Ricardo Ribeiro,António Branco
視頻videohttp://file.papertrans.cn/233/232921/232921.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Processing of the Portuguese Language; 12th International C Jo?o Silva,Ricardo Ribeiro,António Branco Conference proceedings
描述.This book constitutes the refereed proceedings of the 12th International Conference on Computational Processing of the Portuguese Language, PROPOR 2016, held in Tomar, Portugal, in July 2016...The 23 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections named: language applications, language processing, and language resources..
出版日期Conference proceedings 2016
關(guān)鍵詞distributional semantics; lexical semantics; machine translation; semantic knowledge; speech processing;
版次1
doihttps://doi.org/10.1007/978-3-319-41552-9
isbn_softcover978-3-319-41551-2
isbn_ebook978-3-319-41552-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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https://doi.org/10.1007/978-981-10-1723-0 the academic and professional future of every citizen. Tools for classifying the complexity of reading materials for children aim to improve the quality of the model of teaching reading and text comprehension. For English, Feng’s work [.] is considered the state-of-art in grade level prediction and
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Strategic Sourcing: Introduction,s that store those triples, related sentences and documents. It processes the questions and retrieves answers based on the triples..For purposes of testing and evaluation, we have used the CHAVE corpus, used in multiple editions of the CLEF multilingual QA tracks. The questions from those editions w
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https://doi.org/10.1007/978-3-658-26954-8 English to Portuguese for the specific domain of information technology (IT), building a small in-domain parallel corpus to address the lack of IT-specific and publicly-available parallel corpora and then adapted an existing hybrid MT system to the new language pair (English to Portuguese). We furt
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https://doi.org/10.1007/978-3-8349-8796-9nd WordAffectBR lexicons, and Sequential Machine Optimization and Naive Bayes algorithms for this task. In our study, we used the Computer-BR corpus that contains messages about the technology area. We obtained better results using the Comprehensive Measurement Feature Selection method and the Seque
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https://doi.org/10.1007/978-3-8349-8796-9ences, opinions, and feelings of users or customers. These electronic . statements expressed on the web are prevalent in business and service industry to enable a customer to share his/her point of view. However, it is impossible for humans to fully understand it in a reasonable amount of time. Opin
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Maximilian Merath,Christoph Bode done for Portuguese. Here, we describe the results of creating a unified environment, entitled Coh-Metrix-Dementia, based on a previous tool to analyze discourse, named Coh-Metrix-Port. After adding 25 new metrics for measuring syntactical complexity, idea density, and text cohesion through latent
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