Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/3582
Título: Natural language processing approach for macedonian-french and macedonian-english interpreting based on oral sociopolitical corpora
Autor: Rafajlovska, Aneta
Orientador: Madec, Henri
Baptista, Jorge
Data de Defesa: 2013
Resumo: The interpreting is the technique of orally translating an oral message on the spot or with a particular delay. It is widely used for international conferences, meetings, reunions, etc. or in any situation where the speakers express themselves orally in different languages. In this dissertation project our focus is concentrated on presenting the computational aid available for the interpreting. The central point of this research is a specific type of interpreting which is performed immediately after the speech has been uttered, its length being inferior then 6 minutes. This type of interpreting is called Consecutive Interpreting. In order to interpret longer segments of speech the technique of note-taking is used to help the memory of the interpreter. The note-taking represents a special method for rapidly writing down the main points of the thought uttered by the speaker. This being a challenging task for the beginners in this profession and also the fact that perhaps it tends to be easily forgotten if not practiced enough, led to our conclusion that computational aid is needed to facilitate the task of the note-taking. Unfortunately, there is no computer assisted tool that deals with this issue. In this project we have extracted information about the frequency of words from oral corpora and used that information to give a conceptual design proposal for a computer assisted tool for the transcription of symbols into text, for the task of note-taking in consecutive interpreting.
Descrição: Dissertação de mest., Processamento de Linguagem Natural e Indústrias da Língua, Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2013
Peer review: yes
URI: http://hdl.handle.net/10400.1/3582
Designação: Mestrado internacional em Processamento de Língua Natural e Tecnologia da Linguagem Humana
Aparece nas colecções:FCH1-Teses

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