Search Results for author: Pavel Levin

Found 4 papers, 1 papers with code

Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging

1 code implementation MTSummit 2021 Emmanouil Stergiadis, Satendra Kumar, Fedor Kovalev, Pavel Levin

At Booking. com, we need to translate property descriptions, user reviews, as well as messages, (for example those sent between a customer and an agent or property manager).

Domain Adaptation Machine Translation +3

Efficient Image Gallery Representations at Scale Through Multi-Task Learning

no code implementations18 May 2020 Benjamin Gutelman, Pavel Levin

Image galleries provide a rich source of diverse information about a product which can be leveraged across many recommendation and retrieval applications.

Multi-Task Learning Retrieval

Toward a full-scale neural machine translation in production: the Booking.com use case

no code implementations MTSummit 2017 Pavel Levin, Nishikant Dhanuka, Talaat Khalil, Fedor Kovalev, Maxim Khalilov

While some remarkable progress has been made in neural machine translation (NMT) research, there have not been many reports on its development and evaluation in practice.

Machine Translation NMT +1

Machine Translation at Booking.com: Journey and Lessons Learned

no code implementations25 Jul 2017 Pavel Levin, Nishikant Dhanuka, Maxim Khalilov

We describe our recently developed neural machine translation (NMT) system and benchmark it against our own statistical machine translation (SMT) system as well as two other general purpose online engines (statistical and neural).

Machine Translation NMT +2

Cannot find the paper you are looking for? You can Submit a new open access paper.