Results 51 to 60 of about 594,786 (216)

F-structure transfer-based statistical machine translation [PDF]

, 2009
In this paper, we describe a statistical deep syntactic transfer decoder that is trained fully automatically on parsed bilingual corpora. Deep syntactic transfer rules are induced automatically from the f-structures of a LFG parsed bitext corpus by ...
Bryl, Anton, Graham, Yvette, van Genabith, Josef   +2 more
core  

Machine translation using natural language processing [PDF]

MATEC Web of Conferences, 2019
Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai, Raju Middi Appala, Harris Tanvir Ahmed   +2 more
doaj   +1 more source

Findings of the 2014 Workshop on Statistical Machine Translation

WMT@ACL, 2014
This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task.
Ondrej Bojar, C. Buck, C. Federmann, B. Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, Ales Tamchyna   +12 more
semanticscholar   +1 more source

Source sentence simplification for statistical machine translation

Computer Speech and Language, 2017
Long and complex input sentences can be a challenge for translation systems.Source simplification is a way to reduce the complexity of the input.Translation lattices allow to combine the output spaces of full and simplified inputs.Constraining the ...
E. Hasler, A. Gispert, Felix Stahlberg, Aurelien Waite, B. Byrne   +4 more
semanticscholar   +1 more source

A syntactic skeleton for statistical machine translation [PDF]

, 2006
We present a method for improving statistical machine translation performance by using linguistically motivated syntactic information. Our algorithm recursively decomposes source language sentences into syntactically simpler and shorter chunks, and ...
Groves, Declan, Mellebeek, Bart, Owczarzak, Karolina, van Genabith, Josef, Way, Andy   +4 more
core   +2 more sources

Terminology Translation in Low-Resource Scenarios

Information, 2019
Term translation quality in machine translation (MT), which is usually measured by domain experts, is a time-consuming and expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems often need to be updated for ...
Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way   +2 more
doaj   +1 more source

A Statistical Machine Translation Primer

, 2008
Series: Neural Information ...
Cancedda, Nicola, Dymetman, Marc, Foster, George, Goutte, Cyril   +3 more
openaire   +3 more sources

Treatment of Markup in Statistical Machine Translation

DiscoMT@EMNLP, 2017
We present work on handling XML markup in Statistical Machine Translation (SMT). The methods we propose can be used to effectively preserve markup (for instance inline formatting or structure) and to place markup correctly in a machine-translated segment.
Mathias Müller
semanticscholar   +1 more source

MATREX: the DCU MT system for WMT 2010 [PDF]

, 2010
This paper describes the DCU machine translation system in the evaluation campaign of the Joint Fifth Workshop on Statistical Machine Translation and Metrics in ACL-2010.
Banerjee, Pratyush, Dandapat, Sandipan, Du, Jinhua, Forcada, Mikel, Haque, Rejwanul, Kumar Naskar, Sudip, Pecina, Pavel, Penkale, Sergio, Srivastava, Ankit Kumar, Way, Andy   +9 more
core  

Role of Morphology Injection in Statistical Machine Translation

, 2017
Phrase-based Statistical models are more commonly used as they perform optimally in terms of both, translation quality and complexity of the system. Hindi and in general all Indian languages are morphologically richer than English.
Bhattacharyya, Pushpak, S, Sreelekha
core   +1 more source