NDLI: Automatically generated parallel treebanks and their exploitability in machine translation

Please wait, while we are loading the content...

Andrew Radford, Martin Atkinson, David Britain, Harald Clahsen, Andrew Spencer: Linguistics: an introduction : Second edition, Cambridge University Press, 2009, xv + 432 pp

Machine Translation : Volume 22

Machine Translation : Volume 21

Machine Translation : Volume 20

Machine Translation : Volume 19

Machine Translation : Volume 18

Machine Translation : Volume 17

Machine Translation : Volume 16

Machine Translation : Volume 15

Machine Translation : Volume 14

Machine Translation : Volume 13

Machine Translation : Volume 12

Automatically generated parallel treebanks and their exploitability in machine translation

Content Provider	Springer Nature Link
Author	Tinsley, John Way, Andy
Copyright Year	2010
Abstract	Given much recent discussion and the shift in focus of the field, it is becoming apparent that the incorporation of syntax is the way forward for improvements to the current state-of-the-art in machine translation (MT). Parallel treebanks are a relatively recent innovation and appear to be ideal candidates for MT training material. However, until recently there has been no other means to build them than by hand. In this paper, we describe how we make use of new tools to automatically build a large parallel treebank and extract a set of linguistically-motivated phrase pairs from it. We show that adding these phrase pairs to the translation model of a baseline phrase-based statistical MT (PB-SMT) system leads to significant improvements in translation quality. Following this, we describe experiments in which we exploit the information encoded in the parallel treebank in other areas of the PB-SMT framework, while investigating the conditions under which the incorporation of parallel treebank data performs optimally. Finally, we discuss the possibility of exploiting automatically-generated parallel treebanks further in syntax-aware paradigms of MT.
Starting Page	1
Ending Page	22
Page Count	22
File Format	PDF
ISSN	09226567
Journal	Machine Translation
Volume Number	23
Issue Number	1
e-ISSN	15730573
Language	English
Publisher	Springer Netherlands
Publisher Date	2010-01-23
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Parallel treebanks Statistical machine translation Phrase-based statistical machine translation Syntax in machine translation Sub-tree alignment Translation modelling Resource combination Word alignment Phrase alignment Hybrid models Artificial Intelligence (incl. Robotics) Computational Linguistics Language Translation and Linguistics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software Linguistics and Language

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Integrating source-language context into phrase-based statistical machine translation

What types of word alignment improve statistical machine translation?

Maximum-entropy word alignment and posterior-based phrase extraction for machine translation

A hybrid machine translation architecture guided by syntax

Generalizing sampling-based multilingual alignment

Learning local word reorderings for hierarchical phrase-based statistical machine translation

EBMT by tree-phrasing

Panning for EBMT gold, or “Remembering not to forget”

Chunk-lattices for verb reordering in Arabic–English statistical machine translation : Special issues on machine translation for Arabic

Automatically generated parallel treebanks and their exploitability in machine translation

Similar Documents

Integrating source-language context into phrase-based statistical machine translation

What types of word alignment improve statistical machine translation?

Maximum-entropy word alignment and posterior-based phrase extraction for machine translation

A hybrid machine translation architecture guided by syntax

Generalizing sampling-based multilingual alignment

Learning local word reorderings for hierarchical phrase-based statistical machine translation

EBMT by tree-phrasing

Panning for EBMT gold, or “Remembering not to forget”

Chunk-lattices for verb reordering in Arabic–English statistical machine translation : Special issues on machine translation for Arabic

Automatically generated parallel treebanks and their exploitability in machine translation