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About | Marcin Junczys-Dowmunt

Computational Linguist, Machine Translation Researcher. Statistical machine translation in general, Polish-English/English-Polish machine translation in particular. Statistical machine translation of patents. Optimization of machine translation tools in commercial settings, speed improvement, space optimization. Consultant for language technology related topics including: machine translation, speech processing, morfological processing etc.

http://emjotde.github.io/

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About | Marcin Junczys-Dowmunt | emjotde.github.io Reviews
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Computational Linguist, Machine Translation Researcher. Statistical machine translation in general, Polish-English/English-Polish machine translation in particular. Statistical machine translation of patents. Optimization of machine translation tools in commercial settings, speed improvement, space optimization. Consultant for language technology related topics including: machine translation, speech processing, morfological processing etc.
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About | Marcin Junczys-Dowmunt | emjotde.github.io Reviews

https://emjotde.github.io

Computational Linguist, Machine Translation Researcher. Statistical machine translation in general, Polish-English/English-Polish machine translation in particular. Statistical machine translation of patents. Optimization of machine translation tools in commercial settings, speed improvement, space optimization. Consultant for language technology related topics including: machine translation, speech processing, morfological processing etc.

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emjotde.github.io emjotde.github.io
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Publications | Marcin Junczys-Dowmunt

http://emjotde.github.io/publications

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions. Marcin Junczys-Dowmunt, Tomasz Dwojak, and Hieu Hoang. In. October 2016. [ bib. Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction. Marcin Junczys-Dowmunt and Roman Grundkiewicz. In. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Fast, Scalable Phrase-Based SMT Decoding. Austin, USA, October 2016. AMTA. [ bib. Ales Tamchyna, A...

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Projects | Marcin Junczys-Dowmunt

http://emjotde.github.io/projects

A number of projects I am currently working on or have been working on in the past. A neural machine translation toolkit written in C . A powerful natural language processing toolkit - tokenizers, parsing, tagging, machine translation . A very small and very fast phrase table for Moses, the SMT toolkit. A fast neural machine translation inference engine. Symmetrized word alignment models. On average results in better alignment quality than MGIZA . A monolingual sentence aligner based on BLEU-2.

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Dydaktyka | Marcin Junczys-Dowmunt

http://emjotde.github.io/dydaktyka

B2-34, Wydział Matematyki i Informatyki. Podstawy programowania, ćwiczenia - Informatyka, 1. rok, 1. stopień.

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kck.wikidot.com kck.wikidot.com

Komunikacja człowiek-komputer

http://kck.wikidot.com/start

4 CSS (układ strony). 12 Kolory i grafika. Polskie znaki UTF-8 w Windows. Założenie i obsługa konta FTP. Witamy na stronie przedmiotu. Komunikacja Człowiek-Komputer (Human-Computer Interaction). Prowadzonego dla studentów 3-ego roku kierunku Kognitywistyka na Uniwersytecie Adama Mickiewicza w Poznaniu. Mgr Agnieszka Czoska agaczoska@gmail.com. Mgr Adam Kupś adamku@amu.edu.pl. Agnieszka Czoska będzie na dyżurze 2 lutego od 12.00. Umieszczone na Wikidot.com. Kliknij aby edytować zawartość strony.

psi.wmi.amu.edu.pl psi.wmi.amu.edu.pl

Team · PSI

https://psi.wmi.amu.edu.pl/team

Krzysztof Jassem, PhD, prof. AMU. He conducts research on tools for Natural Language Processing. His other field of interest is didactics of computer science. He is a co-founder and a board member of an IT company, Poleng, which is a part of a PWN Group, a major Polish publishing scientific enterprise. He has headed a number of research and development projects, which required co-operation of academic and commercial units. Filip Graliński, PhD. Marcin Junczys-Dowmunt, PhD. Rafał Jaworski, PhD. He is inte...

catalogue.lti.cs.cmu.edu catalogue.lti.cs.cmu.edu

LTI Catalogue | Carnegie Mellon University - Language Technologies Institute

http://catalogue.lti.cs.cmu.edu/tools/131-kenlm

KenLM is a fast and low-memory language modeling toolkit that scales to trillions of words. With contributions from Marcin Junczys-Dowmunt. Ivan Pouzyrevsky, Jon Clark. Tomoyuki Yoshimura, and others. Language models. Estimation is fast and scalable due to streaming disk-based algorithms. Querying is fast and low-memory. Best on Linux. Also supports Mac OS X, Cygwin, and Windows (lagging). Tested on x86, x86 64, ppc64, and ARM. Inproceedings{Heafield-kenlm, author = {Kenneth Heafield}, title = { KenLM:} ...

statmt.org statmt.org

SMT Group Edinburgh - Main/HomePage

http://www.statmt.org/ued

Statistical Machine Translation Group. At the University of Edinburgh. Statistical Machine Translation at the University of Edinburgh. Antonio Valerio Miceli Barone. PhD), now research scientist at Bing. PhD), now at Facebook AI Research. MSc), UW Ph.D. 2014, now postdoc at University of Maryland. Postdoc), now associate professor at Oxford University and scientist at Google Deepmind. PhD), now assistant professor at University of Pennsylvania. Postdoc), now senior lecturer at University of Melbourne.

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About | Marcin Junczys-Dowmunt

Computational Linguist, Machine Translation Researcher. Statistical machine translation in general, Polish-English/English-Polish machine translation in particular. Statistical machine translation of patents. Optimization of machine translation tools in commercial settings, speed improvement, space optimization. Consultant for language technology related topics including: machine translation, speech processing, morfological processing etc.

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Finite.elements.and.more. Montag, 9. Januar 2012. Calculix 2.4 is out now! The new version 2.4 of Calculix is released. For more information take a look here. Eingestellt von mart.ing. Donnerstag, 15. Dezember 2011. Extensive tips collection by zzapper here. Calculating in vim here. Eingestellt von mart.ing. Freitag, 7. August 2009. Proximal femur with initial stochastic density distribution under combined loading as depicted. This leads to the following "remodeling" result:. Eingestellt von mart.ing.

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