Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Bogdan Babych"'
Autor:
Bogdan Babych
Publikováno v:
Revista Tradumàtica, Iss 12 (2014)
This paper gives a general overview of the main classes of methods for automatic evaluation of Machine Translation (MT) quality, their limitations and their value for professional translators and MT developers. Automated evaluation of MT characterize
Externí odkaz:
https://doaj.org/article/d88a6ee933574dddb795ba178b19c86a
Autor:
Vahram Atayan, Bogdan Babych
Publikováno v:
Prague Bulletin of Mathematical Linguistics. 119:23-36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56cebac2eddea39f51483efd1274674f
https://doi.org/10.14712/00326585.021
https://doi.org/10.14712/00326585.021
Autor:
Anthony Hartley, Bogdan Babych
Publikováno v:
Linguistica Antverpiensia, New Series – Themes in Translation Studies. 8
We describe the results of a research project aimed at automatic detection of MT errors using state-of-the-art MT evaluation metrics, such as BLEU. Currently, these automated metrics give only a general indication of translation quality at the corpus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4832f9377af04a680ec9a8e39969610d
https://doi.org/10.52034/lanstts.v8i.246
https://doi.org/10.52034/lanstts.v8i.246
Autor:
Bogdan Babych, Michael Zock, Sadao Kurohashi, Richard S. Forsyth, Vivian Xu, Serge Sharoff, Chenhui Chu, Toshiaki Nakazawa, Reinhard Rapp
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation. Theory and Applications of Natural Language Processing
Using Comparable Corpora for Under-Resourced Areas of Machine Translation. Theory and Applications of Natural Language Processing, In press
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation. Theory and Applications of Natural Language Processing
Using Comparable Corpora for Under-Resourced Areas of Machine Translation. Theory and Applications of Natural Language Processing, In press
This chapter describes several approaches of using comparable corpora beyond the area of MT for under-resourced languages, which is the primary focus of the ACCURAT project. Section 7.1, which is based on Rapp and Zock (Automatic dictionary expansion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d839c7675cdd528875df197e80fd2483
https://doi.org/10.1007/978-3-319-99004-0_7
https://doi.org/10.1007/978-3-319-99004-0_7
Autor:
Paul Clough, Fangzhong Su, Robert Gaizauskas, Bogdan Babych, Monica Lestari Paramita, Anthony Hartley, Ahmet Aker
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
The concept of comparability, or linguistic relatedness, or closeness between textual units or corpora has many possible applications in computational linguistics. Consequently, the task of measuring comparability has increasingly become a core techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc4ab50261b0242143b7dfcca7bb6b7
https://doi.org/10.1007/978-3-319-99004-0_2
https://doi.org/10.1007/978-3-319-99004-0_2
Autor:
Bogdan Babych
Publikováno v:
BSNLP@ACL
The paper presents an unsupervised method for quickly extending a Ukrainian lexicon by generating paradigms and morphological feature structures for new Named Entities and neologisms, which are not covered by existing static morphological resources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee14897b1fff551e29b9ff4f8533cb01
https://doi.org/10.18653/v1/w19-3701
https://doi.org/10.18653/v1/w19-3701
Autor:
Andrejs Vasiļjevs, Andreas Eisele, Yu Chen, Raivis Skadiņš, Xiaojun Zhang, Bogdan Babych, Sabine Hunsicker, Inguna Skadiņa, Mārcis Pinnis, Mateja Verlic, Gregor Thurmair
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
This chapter describes how semi-parallel and parallel data extracted from comparable corpora can be used in enhancing machine translation (MT) systems: what are the methods used for this task in statistical and rule-based machine translation systems;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7467b212ba06571f4619a1427dedde
https://doi.org/10.1007/978-3-319-99004-0_6
https://doi.org/10.1007/978-3-319-99004-0_6
Autor:
Inguna Skadiņa, Robert Gaizauskas, Bogdan Babych, Nikola Ljubešić, Dan Tufiş, Andrejs Vasiļjevs
This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for bu
Autor:
Bogdan Babych
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Scopus-Elsevier
Universidad de Alicante (UA)
Scopus-Elsevier
The paper presents a methodology for the development and task-based evaluation of phonological models, which improve the accuracy of cognate terminology identification, but may potentially be used for other applications, such as transliteration or im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::650d7aa0ae0dcfa7c4753c42890f7ff3
http://hdl.handle.net/10045/76019
http://hdl.handle.net/10045/76019
Publikováno v:
2017 12th Iberian Conference on Information Systems and Technologies (CISTI).
In this study the plausibility of automated human translation quality estimation is investigated to tackle the slowness, expensiveness and inconsistency of human evaluation. A reference free approach using machine learning is advanced to address four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65bbc92b4d91f0735f67d52b899aaab5
https://doi.org/10.23919/cisti.2017.7975703
https://doi.org/10.23919/cisti.2017.7975703