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Natural language processing approach for macedonian-french and macedonian-english interpreting based on oral sociopolitical corpora

Authors: Rafajlovska, Aneta;

Natural language processing approach for macedonian-french and macedonian-english interpreting based on oral sociopolitical corpora

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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