rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Machine Translation: From Research to Real Users
    sub title: 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, USA, October 6-12, 2002. Proceedings
  name:
    name part: Richardson, Stephen D.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2002
    edition: 1st ed. 2002.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 258 p. online resource.
  abstract: AMTA 2002: From Research to Real Users Ever since the showdown between Empiricists and Rationalists a decade ago at TMI 92, MT researchers have hotly pursued promising paradigms for MT, including da- driven approaches (e.g., statistical, example-based) and hybrids that integrate these with more traditional rule-based components. During the same period, commercial MT systems with standard transfer archit- tures have evolved along a parallel and almost unrelated track, increasing their cov- age (primarily through manual update of their lexicons, we assume) and achieving much broader acceptance and usage, principally through the medium of the Internet. Webpage translators have become commonplace; a number of online translation s- vices have appeared, including in their offerings both raw and postedited MT; and large corporations have been turning increasingly to MT to address the exigencies of global communication. Still, the output of the transfer-based systems employed in this expansion represents but a small drop in the ever-growing translation marketplace bucket.
  table of contents: Technical Papers -- Automatic Rule Learning for Resource-Limited MT -- Toward a Hybrid Integrated Translation Environment -- Adaptive Bilingual Sentence Alignment -- DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment -- Text Prediction with Fuzzy Alignments -- Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models -- Using Word Formation Rules to Extend MT Lexicons -- Example-Based Machine Translation via the Web -- Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation -- Korean-Chinese Machine Translation Based on Verb Patterns -- Merging Example-Based and Statistical Machine Translation: An Experiment -- Classification Approach to Word Selection in Machine Translation -- Better Contextual Translation Using Machine Learning -- Fast and Accurate Sentence Alignment of Bilingual Corpora -- Deriving Semantic Knowledge from Descriptive Texts Using an MT System -- Using a Large Monolingual Corpus to Improve Translation Accuracy -- Semi-automatic Compilation of Bilingual Lexicon Entries from Cross-Lingually Relevant News Articles on WWW News Sites -- Bootstrapping the Lexicon Building Process for Machine Translation between 'New' Languages -- User Studies -- A Report on the Experiences of Implementing an MT System for Use in a Commercial Environment -- Getting the Message In: A Global Company's Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems -- An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company -- System Descriptions -- Fluent Machines' EliMT System -- LogoMedia TRANSLATE™, Version 2.0 -- Natural Intelligence in a Machine Translation System -- Translation by the Numbers: Language Weaver -- A New Family of the PARS Translation Systems -- MSR-MT: The Microsoft Research Machine Translation System -- The NESPOLE! Speech-to-Sp…
  note: edited by Stephen D. Richardson.
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Translation and interpretation
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematical logic
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Translation
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Mathematical Logic and Formal Languages
  classification: QA76.9.N38
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 2499
  identifier: 9783540458203
  identifier: https://doi.org/10.1007/3-540-45820-4
  record info:
    record creation date: 121227
    record change date: 20191028021810.0
    record identifier: 978-3-540-45820-3