Multilingual Neural Machine Translation for Low-Resource Languages

Autor: Surafel M. Lakew, Marcello Federico, Matteo Negri, Marco Turchi

Publikováno v: IJCoL, Vol 4, Iss 1, Pp 11-25 (2018)

In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). However, NMT systems are limited in translating low-r

Externí odkaz: https://doaj.org/article/2b007dd0adc846848c6d4c6ca15810d3

Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata.

Autor: Chatzitheodorou, Konstantinos¹ kchatzitheodorou@ionio.gr, Kaldeli, Eirini² ekaldeli@image.ntua.gr, Isaac, Antoine³ antoine.isaac@europeana.eu, Scalia, Paolo⁴ paolo.scalia@europeana.eu, Grau Lacal, Carmen⁵ c.grau@pangeanic.com, Escrivá, MªÁngeles García⁶ ma.garcia@pangeanic.com

Publikováno v: Information Technology & Libraries. Sep2024, Vol. 43 Issue 3, p1-17. 17p.

Findings Of The Iwslt 2021 Evaluation Campaign

Autor: Jacob Bremerman, Satoshi Nakamura, Changhan Wang, Roldano Cattoni, Marco Turchi, Marcello Federico, Xutai Ma, Sebastian Stüker, Matthew Wiesner, Antonios Anastasopoulos, Maha Elbayad, Katsuhito Sudoh, Matteo Negri, Ondrej Bojar, Juan Pino, Elizabeth Salesky, Jan Niehues, Alex Waibel

Publikováno v: IWSLT 2021: THE 18TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION, 1-29
STARTPAGE=1;ENDPAGE=29;TITLE=IWSLT 2021: THE 18TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION
Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)
IWSLT

The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2021) featured this year four shared tasks: (i) Simultaneous speech translation, (ii) Offline speech translation, (iii) Multilingual speech translation, (iv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f99a86a3779444c0ff0a3703891ec7bd
https://cris.maastrichtuniversity.nl/en/publications/b700c4f5-c944-426b-9b60-10991fcbbc81

Machine Translation Verbosity Control for Automatic Dubbing

Autor: Robert Enyedi, Marcello Federico, Surafel Melaku Lakew, Yogesh Virkar, Cuong Hoang, Roberto Barra-Chicote, Yue Wang

Publikováno v: ICASSP

Automatic dubbing aims at seamlessly replacing the speech in a video document with synthetic speech in a different language. The task implies many challenges, one of which is generating translations that not only convey the original content, but also

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2584428462de65bbad54bc54751635cb

A Statistical Extension of Byte-Pair Encoding

Autor: David Vilar, Marcello Federico

Publikováno v: IWSLT

Sub-word segmentation is currently a standard tool for training neural machine translation (MT) systems and other NLP tasks. The goal is to split words (both in the source and target languages) into smaller units which then constitute the input and o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::493862c057eda0671134a988822cf557
https://doi.org/10.18653/v1/2021.iwslt-1.31