Philipp Koehn
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- Publications
- Influence
Moses: Open Source Toolkit for Statistical Machine Translation
- Philipp Koehn, Hieu T. Hoang, +11 authors E. Herbst
- Computer Science
- ACL
- 1 June 2007
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c)… Expand
Statistical Phrase-Based Translation
- Philipp Koehn, F. Och, D. Marcu
- Computer Science
- HLT-NAACL
- 27 May 2003
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within our framework, we… Expand
Europarl: A Parallel Corpus for Statistical Machine Translation
- Philipp Koehn
- Computer Science
- 2005
We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web1. This corpus has found widespread use in the NLP community.… Expand
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Abstract Meaning Representation for Sembanking
- Laura Banarescu, Claire Bonial, +7 authors Nathan Schneider
- Computer Science
- LAW@ACL
- 1 August 2013
We describe Abstract Meaning Representation (AMR), a semantic representation language in which we are writing down the meanings of thousands of English sentences. We hope that a sembank of simple,… Expand
Pharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models
- Philipp Koehn
- Computer Science
- AMTA
- 28 September 2004
We describe Pharaoh, a freely available decoder for phrase-based statistical machine translation models. The decoder is the implement at ion of an efficient dynamic programming search algorithm with… Expand
Statistical Significance Tests for Machine Translation Evaluation
- Philipp Koehn
- Computer Science
- EMNLP
- 2004
If two translation systems differ differ in performance on a test set, can we trust that this indicates a difference in true system quality? To answer this question, we describe bootstrap resampling… Expand
Clause Restructuring for Statistical Machine Translation
- M. Collins, Philipp Koehn, I. Kucerova
- Computer Science
- ACL
- 25 June 2005
We describe a method for incorporating syntactic information in statistical machine translation systems. The first step of the method is to parse the source language string that is being translated.… Expand
Synthesis Lectures on Human Language Technologies
- Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn
- Computer Science
- 2016
Factored Translation Models
- Philipp Koehn, H. Hoang
- Computer Science
- EMNLP-CoNLL
- 1 June 2007
We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it be linguistic markup… Expand
Findings of the 2012 Workshop on Statistical Machine Translation
- Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia
- Computer Science
- WMT@NAACL-HLT
- 7 June 2012
This paper presents the results of the WMT12 shared tasks, which included a translation task, a task for machine translation evaluation metrics, and a task for run-time estimation of machine… Expand