Analysis of Edit Operations for Post-editing Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F21%3A39922775" target="_blank" >RIV/00216275:25410/21:39922775 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s44196-021-00048-3" target="_blank" >https://link.springer.com/article/10.1007/s44196-021-00048-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s44196-021-00048-3" target="_blank" >10.1007/s44196-021-00048-3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Edit Operations for Post-editing Systems

Popis výsledku v původním jazyce

Post-editing has become an important part not only of translation research but also in the global translation industry. While computer-aided translation tools, such as translation memories, are considered to be part of a translator&apos;s work, lately, machine translation (MT) systems have also been accepted by human translators. However, many human translators are still adopting the changes brought by translation technologies to the translation industry. This paper introduces a novel approach for seeking suitable pairs of n-grams when recommending n-grams (corresponding n-grams between MT and post-edited MT) based on the type of text (manual or administrative) and MT system used for machine translation. A tool that recommends and speeds up the correction of MT was developed to help the post-editors with their work. It is based on the analysis of words with the same lemmas and analysis of n-gram recommendations. These recommendations are extracted from sequence patterns of the mismatched words (MisMatch) between MT output and post-edited MT output. The paper aims to show the usage of morphological analysis for recommending the post-edit operations. It describes the usage of mismatched words in the n-gram recommendations for the post-edited MT output. The contribution consists of the methodology for seeking suitable pairs of words, n-grams and additionally the importance of taking into account metadata (the type of the text and/or style and MT system) when recommending post-edited operations.

Název v anglickém jazyce

Analysis of Edit Operations for Post-editing Systems

Popis výsledku anglicky

Post-editing has become an important part not only of translation research but also in the global translation industry. While computer-aided translation tools, such as translation memories, are considered to be part of a translator&apos;s work, lately, machine translation (MT) systems have also been accepted by human translators. However, many human translators are still adopting the changes brought by translation technologies to the translation industry. This paper introduces a novel approach for seeking suitable pairs of n-grams when recommending n-grams (corresponding n-grams between MT and post-edited MT) based on the type of text (manual or administrative) and MT system used for machine translation. A tool that recommends and speeds up the correction of MT was developed to help the post-editors with their work. It is based on the analysis of words with the same lemmas and analysis of n-gram recommendations. These recommendations are extracted from sequence patterns of the mismatched words (MisMatch) between MT output and post-edited MT output. The paper aims to show the usage of morphological analysis for recommending the post-edit operations. It describes the usage of mismatched words in the n-gram recommendations for the post-edited MT output. The contribution consists of the methodology for seeking suitable pairs of words, n-grams and additionally the importance of taking into account metadata (the type of the text and/or style and MT system) when recommending post-edited operations.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA19-15498S" target="_blank" >GA19-15498S: Modelování emocí ve verbální a neverbální manažerské komunikaci pro predikci podnikových finančních rizik</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Computational Intelligence Systems

ISSN

1875-6891

e-ISSN

1875-6883

Svazek periodika

14

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

FR - Francouzská republika

Počet stran výsledku

12

Strana od-do

197

Kód UT WoS článku

000778406100001

EID výsledku v databázi Scopus

2-s2.0-85119997372