How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech

被引：0

作者：

Bizzoni, Yuri ^{[1
]}

Juzek, Tom S. ^{[1
]}

Espana-Bonet, Cristina ^{[2
]}

Chowdhury, Koel Dutta ^{[1
]}

van Genabith, Josef ^{[1
,2
]}

Teich, Elke ^{[1
]}

机构：

[1] Saarland Univ, Dept Language Sci & Technol, Saarland, Germany

[2] DFKI GmbH, Saarbrucken, Germany

来源：

17TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION (IWSLT 2020) | 2020年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Translationese is a phenomenon present in human translations, simultaneous interpreting, and even machine translations. Some translationese features tend to appear in simultaneous interpreting with higher frequency than in human text translation, but the reasons for this are unclear. This study analyzes translationese patterns in translation, interpreting, and machine translation outputs in order to explore possible reasons. In our analysis we (i) detail two non-invasive ways of detecting translationese and (ii) compare translationese across human and machine translations from text and speech. We find that machine translation shows traces of translationese, but does not reproduce the patterns found in human translation, offering support to the hypothesis that such patterns are due to the model (human vs. machine) rather than to the data (written vs. spoken).

引用

页码：280 / 290

页数：11

共 50 条

[21] Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency
Folstad, Asbjorn
Engen, Vegard
Haugstveit, Ida Maria
Pickering, J. Brian
MAN-MACHINE INTERACTIONS 5, ICMMI 2017, 2018, 659 : 72 - 81
[22] Comparing Machine and Human Ability to Detect Phishing Emails
Park, Gilchan
Stuart, Lauren M.
Taylor, Julia M.
Raskin, Victor
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 2322 - 2327
[23] Recognition of the Electrolaryngeal Speech: Comparison Between Human and Machine
Stanislav, Petr
Psutka, Josef V.
Psutka, Josef
TEXT, SPEECH, AND DIALOGUE, TSD 2017, 2017, 10415 : 509 - 517
[24] A human machine speaker dependent speech interactive system
Sreenu, G
Girija, PN
Prasad, MN
Nagamani, M
Proceedings of the IEEE INDICON 2004, 2004, : 349 - 351
[25] Processing affected speech within human machine interaction
Vlasenko, Bogdan
Wendemuth, Andreas
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5, 2009, : 2007 - 2010
[26] Speech technology and systems in human-machine communication
Deng, L
Wang, KS
Chou, W
IEEE SIGNAL PROCESSING MAGAZINE, 2005, 22 (05) : 12 - +
[27] Detecting changing emotions in human speech by machine and humans
van der Wal, C. Natalie
Kowalczyk, Wojtek
APPLIED INTELLIGENCE, 2013, 39 (04) : 675 - 691
[28] Machine Learning in Human Emotion Detection from the Speech
Qiu, Xiaoli
Li, Wei
Li, Yang
Gu, Hongmei
Song, Fei
Sabitha, R.
JOURNAL OF INTERCONNECTION NETWORKS, 2022, 22 (SUPP04)
[29] Human Machine Interaction via Visual Speech Spotting
Rekik, Ahmed
Ben-Hamadou, Achraf
Mahdi, Walid
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2015, 2015, 9386 : 566 - 574
[30] Detecting the Number of Speakers in Speech Mixtures by Human and Machine
Maka, Tomasz
Lazoryszczak, Miroslaw
2018 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2018, : 239 - 244

← 1 2 3 4 5 →