Machine Translation View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1989

PUBLISHER

Springer Netherlands

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/10590

Recent publications latest 20 shown

  • 2019-04-08 An error analysis for image-based multi-modal neural machine translation
  • 2019-04-04 Post-editing neural machine translation versus translation memory segments
  • 2019-03-20 Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation
  • 2019-03-15 Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation
  • 2019-03-08 A product and process analysis of post-editor corrections on neural, statistical and rule-based machine translation output
  • 2019-03-08 Post-editing neural machine translation versus phrase-based machine translation for English–Chinese
  • 2018-12 An end-to-end model for cross-lingual transformation of paralinguistic information
  • 2018-12 A user-study on online adaptation of neural machine translation to human post-edits
  • 2018-12 Reassessing the proper place of man and machine in translation: a pre-translation scenario
  • 2018-12 Automatic quality estimation for speech translation using joint ASR and MT features
  • 2018-09 Human versus automatic quality evaluation of NMT and PBSMT
  • 2018-09 Language-related issues for NMT and PBMT for English–German and English–Serbian
  • 2018-09 Editors’ foreword to the invited issue on SMT and NMT
  • 2018-09 Evaluating MT for massive open online courses
  • 2018-09 Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian
  • 2018-06 The ELISA Situation Frame extraction for low resource languages pipeline for LoReHLT’2016
  • 2018-06 BBN’s low-resource machine translation for the LoReHLT 2016 evaluation
  • 2018-06 Overview of the NIST 2016 LoReHLT evaluation
  • 2018-06 Incident-Driven Machine Translation and Name Tagging for Low-resource Languages
  • 2018-06 Preface
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21040", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Natural Language Processing (NLP)", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/N22000", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Computational Linguistics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Artificial Intelligence", 
            "type": "DefinedTerm"
          }
        ], 
        "contentRating": [
          {
            "author": "snip", 
            "ratingValue": "1.613", 
            "type": "Rating"
          }, 
          {
            "author": "sjr", 
            "ratingValue": "0.364", 
            "type": "Rating"
          }
        ], 
        "description": "

    Covers all branches of computational linguistics and language engineering, wherever they incorporate a multilingual aspect. It features papers that cover the theoretical, descriptive or computational aspects of any of the following topics:

    - compilation and use of bi- and multilingual corpora
    - computer-aided language instruction and learning
    - computational implications of non-Roman character sets
    - connectionist approaches to translation
    - contrastive linguistics
    - corpus-based and statistical language modeling
    - discourse phenomena and their treatment in (human or machine) translation
    - history of machine translation
    - human translation theory and practice
    - knowledge engineering
    - machine translation and machine-aided translation
    - minority languages
    - morphology, syntax, semantics, pragmatics
    - multilingual dialogue systems
    - multilingual information retrieval
    - multilingual information society (sociological and legal as well as linguistic aspects)
    - multilingual message understanding systems
    - multilingual natural language interfaces
    - multilingual text composition and generation
    - multilingual word-processing
    - phonetics, phonology
    - software localization and internationalization
    - speech processing, especially for speech translation

    Your article in Machine Translation?
    Submit online via http://www.editorialmanager.com/coat/

    ", "editor": [ { "familyName": "Way", "givenName": "Andy", "type": "Person" } ], "id": "sg:journal.1128161", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "0922-6567", "1573-0573" ], "license": "Hybrid (Open Choice)", "name": "Machine Translation", "productId": [ { "name": "scopus_id", "type": "PropertyValue", "value": [ "27190" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "9884454", "9881708" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "444498" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "10590" ] }, { "name": "lccn_id", "type": "PropertyValue", "value": [ "89647409" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "128161" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "18067" ] } ], "publisher": { "name": "Springer Netherlands", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1128161" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "startYear": "1989", "type": "Periodical", "url": "http://link.springer.com/journal/10590" } ]

     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/journal.1128161'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1128161'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1128161'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1128161'


     

    This table displays all metadata directly associated to this object as RDF triples.

    81 TRIPLES      21 PREDICATES      32 URIs      25 LITERALS      12 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1128161 schema:about sg:ontologies/product-market-codes/I21000
    2 sg:ontologies/product-market-codes/I21040
    3 sg:ontologies/product-market-codes/N22000
    4 schema:contentRating N088ada454e5f4a9eacba3201380de300
    5 Na7ef58e2f76f4dcc8747591ed47d125f
    6 schema:description <p>Covers all branches of computational linguistics and language engineering, wherever they incorporate a multilingual aspect. It features papers that cover the theoretical, descriptive or computational aspects of any of the following topics: </p><p>- compilation and use of bi- and multilingual corpora<br/>- computer-aided language instruction and learning<br/>- computational implications of non-Roman character sets<br/>- connectionist approaches to translation<br/>- contrastive linguistics<br/>- corpus-based and statistical language modeling<br/>- discourse phenomena and their treatment in (human or machine) translation<br/>- history of machine translation<br/>- human translation theory and practice<br/>- knowledge engineering<br/>- machine translation and machine-aided translation<br/>- minority languages<br/>- morphology, syntax, semantics, pragmatics<br/>- multilingual dialogue systems<br/>- multilingual information retrieval<br/>- multilingual information society (sociological and legal as well as linguistic aspects)<br/>- multilingual message understanding systems<br/>- multilingual natural language interfaces<br/>- multilingual text composition and generation<br/>- multilingual word-processing<br/>- phonetics, phonology<br/>- software localization and internationalization<br/>- speech processing, especially for speech translation<br/><p/><b>Your article in Machine Translation?</b><br/>Submit online via http://www.editorialmanager.com/coat/</p><p/>
    7 schema:editor N3de1ad7e73a24bbaaf6f730a0e9eb4d7
    8 schema:inLanguage en
    9 schema:isAccessibleForFree false
    10 schema:issn 0922-6567
    11 1573-0573
    12 schema:license Hybrid (Open Choice)
    13 schema:name Machine Translation
    14 schema:productId N1b50964db4a9459d8b828db2f6768f29
    15 N2d3178fbd0754e69aab7f3347db8cf84
    16 N7fbe8f11cc924c5f929c1d6c21ff0911
    17 N94cb3cab10ba4118a1c5395d9578378b
    18 N9e538591f02d4093ac46c1e6571dce63
    19 Nc1266aee47a041368fc12970bdd3ec3a
    20 Nc9e3d3852b4141ccb7274868db42d13d
    21 schema:publisher N7525ce65bec44e67be0957555eb1e683
    22 schema:publisherImprint Springer
    23 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1128161
    24 schema:sdDatePublished 2019-03-18T11:05
    25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    26 schema:sdPublisher N984f65aaa10e4731bd8d39117cb575e7
    27 schema:startYear 1989
    28 schema:url http://link.springer.com/journal/10590
    29 sgo:license sg:explorer/license/
    30 sgo:sdDataset journals
    31 rdf:type schema:Periodical
    32 N088ada454e5f4a9eacba3201380de300 schema:author N255026705f22431492042bd6f3a31ed2
    33 schema:ratingValue 0.364
    34 rdf:type schema:Rating
    35 N1b50964db4a9459d8b828db2f6768f29 schema:name lccn_id
    36 schema:value 89647409
    37 rdf:type schema:PropertyValue
    38 N20d5e71c55184630809a32a1b71cc9bd schema:familyName Way
    39 schema:givenName Andy
    40 rdf:type schema:Person
    41 N255026705f22431492042bd6f3a31ed2 rdf:first sjr
    42 rdf:rest rdf:nil
    43 N2d3178fbd0754e69aab7f3347db8cf84 schema:name nlm_unique_id
    44 schema:value 9881708
    45 9884454
    46 rdf:type schema:PropertyValue
    47 N3de1ad7e73a24bbaaf6f730a0e9eb4d7 rdf:first N20d5e71c55184630809a32a1b71cc9bd
    48 rdf:rest rdf:nil
    49 N7525ce65bec44e67be0957555eb1e683 schema:name Springer Netherlands
    50 rdf:type schema:Organization
    51 N7fbe8f11cc924c5f929c1d6c21ff0911 schema:name era_ids_id
    52 schema:value 18067
    53 rdf:type schema:PropertyValue
    54 N94cb3cab10ba4118a1c5395d9578378b schema:name dimensions_id
    55 schema:value 128161
    56 rdf:type schema:PropertyValue
    57 N984f65aaa10e4731bd8d39117cb575e7 schema:name Springer Nature - SN SciGraph project
    58 rdf:type schema:Organization
    59 N9e538591f02d4093ac46c1e6571dce63 schema:name nsd_ids_id
    60 schema:value 444498
    61 rdf:type schema:PropertyValue
    62 Na7ef58e2f76f4dcc8747591ed47d125f schema:author Nac2cd43f83594d489f6bb4b7dd2bc0b2
    63 schema:ratingValue 1.613
    64 rdf:type schema:Rating
    65 Nac2cd43f83594d489f6bb4b7dd2bc0b2 rdf:first snip
    66 rdf:rest rdf:nil
    67 Nc1266aee47a041368fc12970bdd3ec3a schema:name springer_id
    68 schema:value 10590
    69 rdf:type schema:PropertyValue
    70 Nc9e3d3852b4141ccb7274868db42d13d schema:name scopus_id
    71 schema:value 27190
    72 rdf:type schema:PropertyValue
    73 sg:ontologies/product-market-codes/I21000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    74 schema:name Artificial Intelligence
    75 rdf:type schema:DefinedTerm
    76 sg:ontologies/product-market-codes/I21040 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    77 schema:name Natural Language Processing (NLP)
    78 rdf:type schema:DefinedTerm
    79 sg:ontologies/product-market-codes/N22000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    80 schema:name Computational Linguistics
    81 rdf:type schema:DefinedTerm
     




    Preview window. Press ESC to close (or click here)


    ...