View in EDS

Towards Automatically Aligning German Compounds with English Word Groups in an Example-Based Translation System.

Saved in:
Bibliographic Details
Title: Towards Automatically Aligning German Compounds with English Word Groups in an Example-Based Translation System.
Language: English
Authors: Jones, Daniel, Alexa, Melina
Peer Reviewed: N
Page Count: 6
Publication Date: 1994
Document Type: Reports - Research
Descriptors: English, Foreign Countries, German, Language Patterns, Language Processing, Lexicology, Machine Translation, Vocabulary
Abstract: As part of the development of a completely sub-symbolic machine translation system, a method for automatically identifying German compounds was developed. Given a parallel bilingual corpus, German compounds are identified along with their English word groupings by statistical processing alone. The underlying principles and the design process are described here. Design began with small-scale word-alignment experiments, using 2,543 English words and 1,898 German words that yielded unique lexical items in each language. A technique for decreasing reliance on one-to-one word correspondences was then applied, resulting in a distinct ability to capture relationships between compounds and non-compounded expressions. Statistical analysis of these relationships provides data on which to base machine translation operations. It is concluded that the method used is effective on identifying cross-language lexical fertility to establish translation units for re-combination within the example-based translation process. (MSE)
Entry Date: 1995
Accession Number: ED377711
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED377711
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED377711
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Towards Automatically Aligning German Compounds with English Word Groups in an Example-Based Translation System.
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jones%2C+Daniel%22">Jones, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Alexa%2C+Melina%22">Alexa, Melina</searchLink>
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 6
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1994
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22English%22">English</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22German%22">German</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Patterns%22">Language Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Processing%22">Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Lexicology%22">Lexicology</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+Translation%22">Machine Translation</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As part of the development of a completely sub-symbolic machine translation system, a method for automatically identifying German compounds was developed. Given a parallel bilingual corpus, German compounds are identified along with their English word groupings by statistical processing alone. The underlying principles and the design process are described here. Design began with small-scale word-alignment experiments, using 2,543 English words and 1,898 German words that yielded unique lexical items in each language. A technique for decreasing reliance on one-to-one word correspondences was then applied, resulting in a distinct ability to capture relationships between compounds and non-compounded expressions. Statistical analysis of these relationships provides data on which to base machine translation operations. It is concluded that the method used is effective on identifying cross-language lexical fertility to establish translation units for re-combination within the example-based translation process. (MSE)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 1995
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED377711
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED377711
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
    Subjects:
      – SubjectFull: English
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: German
        Type: general
      – SubjectFull: Language Patterns
        Type: general
      – SubjectFull: Language Processing
        Type: general
      – SubjectFull: Lexicology
        Type: general
      – SubjectFull: Machine Translation
        Type: general
      – SubjectFull: Vocabulary
        Type: general
    Titles:
      – TitleFull: Towards Automatically Aligning German Compounds with English Word Groups in an Example-Based Translation System.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jones, Daniel
      – PersonEntity:
          Name:
            NameFull: Alexa, Melina
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1994
ResultId 1