Detail publikace

MT Evaluation in the Context of Language Complexity

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

Originální název

MT Evaluation in the Context of Language Complexity

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

1. 1. 2022

Nakladatel

Hindawi

ISSN

1076-2787

Periodikum

COMPLEXITY

Ročník

2021

Číslo

1

Stát

Spojené státy americké

Strany od

1

Strany do

15

Strany počet

15

URL

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

Plný text v Digitální knihovně

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/"
}