View in EDS

Language Muse: Automated Linguistic Activity Generation for English Language Learners

Saved in:
Bibliographic Details
Title: Language Muse: Automated Linguistic Activity Generation for English Language Learners
Language: English
Authors: Madnani, Nitin, Burstein, Jill, Sabatini, John, Biggers, Kietha, Andreyev, Slava
Source: Grantee Submission. 2016.
Peer Reviewed: Y
Page Count: 6
Publication Date: 2016
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R305A140472
Document Type: Reports - Descriptive
Speeches/Meeting Papers
Descriptors: English Language Learners, Reading Instruction, Natural Language Processing, Learning Activities, Class Activities, English Instruction, Second Language Instruction, Computer Oriented Programs, Sentences, Reading Comprehension, Open Source Technology
Abstract: Current education standards in the U.S. require school students to read and understand complex texts from different subject areas (e.g., social studies). However, such texts usually contain figurative language, complex phrases and sentences, as well as unfamiliar discourse relations. This may present an obstacle to students whose native language is not English -- a growing sub-population in the US. One way to help such students is to create classroom activities centered around linguistic elements found in subject area texts (DelliCarpini, 2008). We present a web-based tool that uses NLP algorithms to automatically generate customizable linguistic activities that are grounded in language learning research.
Abstractor: As Provided
Number of References: 17
IES Funded: Yes
Entry Date: 2016
Accession Number: ED574729
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED574729
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED574729
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Language Muse: Automated Linguistic Activity Generation for English Language Learners
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Madnani%2C+Nitin%22">Madnani, Nitin</searchLink><br /><searchLink fieldCode="AR" term="%22Burstein%2C+Jill%22">Burstein, Jill</searchLink><br /><searchLink fieldCode="AR" term="%22Sabatini%2C+John%22">Sabatini, John</searchLink><br /><searchLink fieldCode="AR" term="%22Biggers%2C+Kietha%22">Biggers, Kietha</searchLink><br /><searchLink fieldCode="AR" term="%22Andreyev%2C+Slava%22">Andreyev, Slava</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2016.
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 6
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2016
– Name: SourceSuprt
  Label: Sponsoring Agency
  Group: SrcSuprt
  Data: Institute of Education Sciences (ED)
– Name: NumberContract
  Label: Contract Number
  Group: NumCntrct
  Data: R305A140472
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Descriptive<br />Speeches/Meeting Papers
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22English+Language+Learners%22">English Language Learners</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Instruction%22">Reading Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+Language+Processing%22">Natural Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Activities%22">Learning Activities</searchLink><br /><searchLink fieldCode="DE" term="%22Class+Activities%22">Class Activities</searchLink><br /><searchLink fieldCode="DE" term="%22English+Instruction%22">English Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Oriented+Programs%22">Computer Oriented Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Sentences%22">Sentences</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Comprehension%22">Reading Comprehension</searchLink><br /><searchLink fieldCode="DE" term="%22Open+Source+Technology%22">Open Source Technology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Current education standards in the U.S. require school students to read and understand complex texts from different subject areas (e.g., social studies). However, such texts usually contain figurative language, complex phrases and sentences, as well as unfamiliar discourse relations. This may present an obstacle to students whose native language is not English -- a growing sub-population in the US. One way to help such students is to create classroom activities centered around linguistic elements found in subject area texts (DelliCarpini, 2008). We present a web-based tool that uses NLP algorithms to automatically generate customizable linguistic activities that are grounded in language learning research.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: Ref
  Label: Number of References
  Group: RefInfo
  Data: 17
– Name: CodeSource
  Label: IES Funded
  Group: SrcInfo
  Data: Yes
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2016
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED574729
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED574729
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
    Subjects:
      – SubjectFull: English Language Learners
        Type: general
      – SubjectFull: Reading Instruction
        Type: general
      – SubjectFull: Natural Language Processing
        Type: general
      – SubjectFull: Learning Activities
        Type: general
      – SubjectFull: Class Activities
        Type: general
      – SubjectFull: English Instruction
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Computer Oriented Programs
        Type: general
      – SubjectFull: Sentences
        Type: general
      – SubjectFull: Reading Comprehension
        Type: general
      – SubjectFull: Open Source Technology
        Type: general
    Titles:
      – TitleFull: Language Muse: Automated Linguistic Activity Generation for English Language Learners
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Madnani, Nitin
      – PersonEntity:
          Name:
            NameFull: Burstein, Jill
      – PersonEntity:
          Name:
            NameFull: Sabatini, John
      – PersonEntity:
          Name:
            NameFull: Biggers, Kietha
      – PersonEntity:
          Name:
            NameFull: Andreyev, Slava
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Type: published
              Y: 2016
          Titles:
            – TitleFull: Grantee Submission
              Type: main
ResultId 1