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Computational Processing of the Portuguese Language

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Cover of 'Computational Processing of the Portuguese Language'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Extending VITHEA in Order to Improve Children’s Linguistic Skills
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    Chapter 2 Automatic Classification of the Complexity of Nonfiction Texts in Portuguese for Early School Years
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    Chapter 3 Improving Question-Answering for Portuguese Using Triples Extracted from Corpora
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    Chapter 4 Applying Lexical-Conceptual Knowledge for Multilingual Multi-document Summarization
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    Chapter 5 Domain-Specific Hybrid Machine Translation from English to Portuguese
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    Chapter 6 Analysis of Temporal Adverbial Phrases for Portuguese–Chinese Machine Translation
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    Chapter 7 Determining the Level of Clients’ Dissatisfaction from Their Commentaries
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    Chapter 8 Comparing Approaches to Subjectivity Classification: A Study on Portuguese Tweets
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    Chapter 9 TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers’ Sentiment in Brazilian Portuguese
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    Chapter 10 Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrative Language Test in Portuguese
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    Chapter 11 A Comparative Evaluation of QA Systems over List Questions
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    Chapter 12 Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language
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    Chapter 13 Finding Compositional Rules for Determining the Semantic Orientation of Phrases
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    Chapter 14 Sentiment Analysis for Brazilian Portuguese over a Skewed Class Corpora
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    Chapter 15 Semantic Relation Extraction. Resources, Tools and Strategies
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    Chapter 16 Extracting and Structuring Open Relations from Portuguese Text
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    Chapter 17 Towards Keyphrase Assignment for Texts in Portuguese Language
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    Chapter 18 Entity Linking with Distributional Semantics
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    Chapter 19 Syntax Deep Explorer
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    Chapter 20 Automatic Semantic Role Labeling on Non-revised Syntactic Trees of Journalistic Texts
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    Chapter 21 Improving Coreference Resolution with Semantic Knowledge
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    Chapter 22 Improving POS Tagging Across Portuguese Variants with Word Embeddings
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    Chapter 23 Joining Forces for Multiword Expression Identification
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    Chapter 24 A Construction Grammar Approach for Pronominal Clitics in European Portuguese
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    Chapter 25 Investigating Machine Learning Approaches for Sentence Compression in Different Application Contexts for Portuguese
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    Chapter 26 A Model for Textual Entailment Based on Linguistic Rules
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    Chapter 27 LX-DSemVectors: Distributional Semantics Models for Portuguese
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    Chapter 28 Making Virtue of Necessity: A Verb Lexicon
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    Chapter 29 CONTO.PT: Groundwork for the Automatic Creation of a Fuzzy Portuguese Wordnet
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    Chapter 30 Lexical Semantics Annotation for Enriched Portuguese Corpora
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    Chapter 31 Crawling by Readability Level
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    Chapter 32 Towards a Statistical-Enriched Corpus Containing Portuguese Collocations in Use: Reviewing Possible Extraction Tools
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    Chapter 33 The Portuguese B \(^2\) SG: A Semantic Test for Distributional Thesaurus
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    Chapter 34 Automatic Generation of Internet Memes from Portuguese News Headlines
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    Chapter 35 FrameNet-Based Automatic Suggestion of Translation Equivalents
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    Chapter 36 Building a Question-Answering Corpus Using Social Media and News Articles
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    Chapter 37 Evaluating Phonetic Spellers for User-Generated Content in Brazilian Portuguese
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    Chapter 38 An Automatic Phonetic Aligner for Brazilian Portuguese with a Praat Interface
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    Chapter 39 Design and Analysis of a Database to Evaluate Children’s Reading Aloud Performance
Attention for Chapter 38: An Automatic Phonetic Aligner for Brazilian Portuguese with a Praat Interface
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Citations

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Chapter title
An Automatic Phonetic Aligner for Brazilian Portuguese with a Praat Interface
Chapter number 38
Book title
Computational Processing of the Portuguese Language
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41552-9_38
Book ISBNs
978-3-31-941551-2, 978-3-31-941552-9
Authors

Gleidson Souza, Nelson Neto

Editors

João Silva, Ricardo Ribeiro, Paulo Quaresma, André Adami, António Branco

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Doctoral Student 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Linguistics 1 25%
Engineering 1 25%

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