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primary topic: Document Meta-Information as Weak Supervision for Machine Translation

Document Meta-Information as Weak Supervision for Machine Translation
type: Article
abstract: Data-driven machine translation has advanced considerably since the first pioneering work in the 1990s with recent systems claiming human parity on sentence translation for highresource tasks. However, performance degrades for low-resource domains with no available sentence-parallel training data. Machine translation systems also rarely incorporate the document context beyond the sentence level, ignoring knowledge which is essential for some situations. In this thesis, we aim to address the two issues mentioned above by examining ways to incorporate document-level meta-information into data-driven machine translation. Examples of document meta-information include document authorship and categorization information, as well as cross-lingual correspondences between documents, such as hyperlinks or citations between documents. As this meta-information is much more coarse-grained than reference translations, it constitutes a source of weak supervision for machine translation. We present four cumulatively conducted case studies where we devise and evaluate methods to exploit these sources of weak supervision both in low-resource scenarios where no task-appropriate supervision from parallel data exists, and in a full supervision scenario where weak supervision from document meta-information is used to supplement supervision from sentence-level reference translations. All case studies show improved translation quality when incorporating document meta-information.
date: 2019
author list: authors
type: EPrint
type: DoctoralThesisEPrint
is part of: repository
has document: Document Meta-Information as Weak Supervision for Machine Translation (PDF)
has document: Document Meta-Information as Weak Supervision for Machine Translation (Other)
subject: 004 Informatik
subject: 400 Sprachwissenschaft

Document Meta-Information as Weak Supervision for Machine Translation (PDF)
type: Document
has file: Dissertation_Jehl_HeiDOK.pdf
has part: Dissertation_Jehl_HeiDOK.pdf

Laura Elisabeth Jehl
type: Person
given name: Laura Elisabeth
family name: Jehl

Document Meta-Information as Weak Supervision for Machine Translation (Other)
type: Document
is version of: Document Meta-Information as Weak Supervision for Machine Translation (PDF)
is volatile version of: Document Meta-Information as Weak Supervision for Machine Translation (PDF)
is index codes version of: Document Meta-Information as Weak Supervision for Machine Translation (PDF)
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HTML Summary of #26780 Document Meta-Information as Weak Supervision for Machine Translation
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primary topic: Document Meta-Information as Weak Supervision for Machine Translation

004 Informatik
type: Concept
preferred label: 004 Data processing Computer science @en

400 Sprachwissenschaft
type: Concept
preferred label: 400 Linguistics @en