Valintaverkkoanalyysi konekäännöksen jälkieditoinnin tarkastelun apuna

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http://hdl.handle.net/10138/320216

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Salmi , L & Koponen , M 2020 , ' Valintaverkkoanalyysi konekäännöksen jälkieditoinnin tarkastelun apuna ' , MikaEL Kääntämisen ja tulkkauksen tutkimuksen symposiumin verkkojulkaisu , Vuosikerta. 13 , Sivut 58-74 .

Title: Valintaverkkoanalyysi konekäännöksen jälkieditoinnin tarkastelun apuna
Author: Salmi, Leena; Koponen, Maarit
Contributor: Helsingin yliopisto, Digitaalisten ihmistieteiden osasto
Date: 2020-05
Language: fin
Number of pages: 17
Belongs to series: MikaEL Kääntämisen ja tulkkauksen tutkimuksen symposiumin verkkojulkaisu
ISSN: 1797-3112
URI: http://hdl.handle.net/10138/320216
Abstract: This paper presents an application of Choice Network Analysis (CNA; proposed by Stuart Campbell in 2000) to analyse Machine Translation (MT) post-editing (PE) data. The data were collected from 33 translation students in a PE experiment where the students post-edited a text machine translated from English to Finnish. The text was a combination of neural (NMT), rule-based (RBMT) and statistical machine translation (SMT) output. CNA has been presented as a method for collecting data on the mental process of translating (or post-editing), to be used either instead of or in addition to experimental process studies. The method consists of collecting translations of the same text from different translators and building a network of the different options they have used to translate a particular item. The basic assumption is that when an item is translated in the same or a similar way, it requires less cognitive effort than an item that produced several different translations.In this paper, we use CNA to analyse a subset of the PE data, items that are repeated in the post-edited text, to compare differences both between editors and between MT engines. We also discuss two different approaches to presenting the choice networks.
Subject: 6121 Kielitieteet
113 Tietojenkäsittely- ja informaatiotieteet
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