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| Author(s): |
Lianet Sepúlveda Torres
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2015-09-24 |
| Examining board members: |
Sandra Maria Aluisio;
Valéria Delisandra Feltrim;
Solange Oliveira Rezende;
Stella Esther Ortweiler Tagnin;
Oto Araujo Vale
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| Advisor: | Sandra Maria Aluisio |
| Abstract | |
In the last decade, as a result of Brazilian economic growth and the increased presence of multinationals in the country, the interest of foreigners in learning Portuguese rose. This fact is also noted by the number of students enrolled in the Portuguese proficiency exam, CELPE-Bras and the number of foreigner students entering at the Brazilian Universities. Most of these students are Spanish speakers and need to write the dissertation or thesis in Portuguese. The similarity between Portuguese and Spanish is considered as a positive element that often becomes an obstacle, because similarity and closeness frequently conceal differences and hinder learners from mastering the Portuguese, keeping interferences from their native Spanish both when speaking and writing in Portuguese. The largest number of this interference occurs at the lexical level. One alternative to deal with errors of second language learners is the use of computational post-edit tools and tools to support the writing process. However, the number of resources and tools available to help improve Portuguese writing as a foreign language is very small, unlike the scenario into English. This research proposed the creation of resources and writing support tools at the lexical level as a first step to improving the linguistic quality of the texts produced by Portuguese native Spanish. Corpus linguistics was used as a methodology to enable the learners error analysis. The writing support tools use bilingual lexicons compiled through translation techniques based on alignment parallel corpus. Given the insufficient number of errors previously annotated to support automatic error detection, this research proposed methods based on language model and artificial generation of errors. The generation of artificial errors introduced himself as an efficient method for predicting lexical errors of learners. The contributions obtained with the methodology based on automatic translation to generate written supports between similar languages, considering lexical error, extracted by the analysis of learners corpus, focus of this research are: (i) the theoretical point of view, the survey and quantification of the main problems caused by the Spanish marks, left in the academic texts written in Portuguese by native Spanish; (ii) the automatic generation of language resources point of view, bilingual lexicons of cognates and false cognates; bilingual lexicon of discourse markers; bilingual lexicon of formulaic expressions that appear in scientific texts and bilingual lexicon of verbs related to scientific research in Portuguese and, (iii) the point of view of creating subsidies for the area of support scientific writing, design and evaluation of aid to support scientific writing in Portuguese by native Spanish speakers. (AU) | |
| FAPESP's process: | 10/15419-9 - Scientific Writing in Portuguese by Hispanic speaking: Linguistic-computer resources based on Methods of parallel text alignments. |
| Grantee: | Lianet Sepúlveda Torres |
| Support Opportunities: | Scholarships in Brazil - Doctorate |