Publication detail

MT Evaluation in the Context of Language Complexity

MUNKOVÁ, D. MUNK, M. BENKO, L. ŠŤASTNÝ, J.

Original Title

MT Evaluation in the Context of Language Complexity

Type

journal article in Web of Science

Language

English

Original Abstract

The paper focuses on investigating the impact of artificial agent (machine translator) on human agent (posteditor) using a proposed methodology, which is based on language complexity measures, POS tags, frequent tagsets, association rules, and their summarization. We examine this impact from the point of view of language complexity in terms of word and sentence structure. By the proposed methodology, we analyzed 24 733 tags of English to Slovak translations of technical texts, corresponding to the output of two MT systems (Google Translate and the European Commission’s MT tool). We used both manual (adequacy and fluency) and semiautomatic (HTER metric) MT evaluation measures as the criteria for validity. We show that the proposed methodology is valid based on the evaluation of frequent tagsets and rules of MT outputs produced by Google Translate or of the European Commission’s MT tool, and both postedited MT (PEMT) outputs using baseline methods. Our results have also shown that PEMT output produced by Google Translate is characterized by more frequent tagsets such as verbs in the infinitive with modal verbs compared to its MT output, which is characterized by masculine, inanimate nouns in locative of singular. In the MT output, produced by the European Commission’s MT tool, the most frequent tagset was verbs in the infinitive compared to its postedited MT output, where verbs in imperative and the second person of plural occurred. These findings are also obtained from the use of the proposed methodology for MT evaluation. The contribution of the proposed methodology is an identification of systematic not random errors. Additionally, the study can also serve as information for optimizing the translation process using postediting.

Keywords

artificial agent, association rules, language complexity measures, machine translator

Authors

MUNKOVÁ, D.; MUNK, M.; BENKO, L.; ŠŤASTNÝ, J.

Released

1. 1. 2022

Publisher

Hindawi

ISBN

1076-2787

Periodical

COMPLEXITY

Year of study

2021

Number

1

State

United States of America

Pages from

1

Pages to

15

Pages count

15

URL

https://www.hindawi.com/journals/complexity/2021/2806108/

Full text in the Digital Library

http://hdl.handle.net/11012/203982

BibTex

@article{BUT176667,
  author="Dáša {Munková} and Michal {Munk} and Lubomír {Benko} and Jiří {Šťastný}",
  title="MT Evaluation in the Context of Language Complexity",
  journal="COMPLEXITY",
  year="2022",
  volume="2021",
  number="1",
  pages="1--15",
  doi="10.1155/2021/2806108",
  issn="1076-2787",
  url="https://www.hindawi.com/journals/complexity/2021/2806108/"
}