ACL RD-TEC 1.0 Summarization of J95-3004

Paper Title:
LEARNING MORPHO-LEXICAL PROBABILITIES FROM AN UNTAGGED CORPUS WITH AN APPLICATION TO HEBREW

Authors: Moshe Levinger and Alon Itai and Uzzi Ornan

Other assigned terms:

  • abbreviation
  • adjective
  • ambiguity
  • ambiguity problem
  • ambiguous word
  • ambiguous words
  • anchors
  • approach
  • association for computational linguistics
  • automatic processing
  • case
  • categorical ambiguity
  • computer program
  • conditional probability
  • convergence
  • corpora
  • determiner
  • determiners
  • distribution
  • events
  • fact
  • formal description
  • free word order
  • frequency distribution
  • function words
  • generation
  • hebrew corpus
  • hebrew text
  • heuristic
  • human reader
  • idiom
  • implementation
  • information source
  • information sources
  • knowledge
  • language model
  • large corpora
  • large corpus
  • lexical entry
  • linguistic
  • linguistic information
  • linguistics
  • manual tagging
  • mapping
  • method
  • modern hebrew
  • morpho-lexical probabilities
  • morphological ambiguity
  • morphological ambiguity problem
  • morphological information
  • morphological knowledge
  • natural language
  • nouns
  • part of speech
  • part-of-speech
  • particle
  • particles
  • personal pronoun
  • personal pronouns
  • precision
  • preposition
  • prepositions
  • probabilities
  • probability
  • process
  • pronoun
  • pronouns
  • pronunciation
  • proper noun
  • punctuation
  • research and development
  • semantic
  • semantic knowledge
  • sentence
  • sentences
  • source language
  • statistical information
  • stems
  • sublanguage
  • suffix
  • syntactic constraints
  • syntactic knowledge
  • syntactic tag
  • tagged corpus
  • target language
  • term
  • text
  • training
  • training corpus
  • transcriptions
  • trigram
  • trigram model
  • uniform probability
  • untagged corpus
  • user
  • verb
  • verb form
  • word
  • word form
  • word order
  • word types
  • words
  • writing system

Extracted Section Types:


This page last edited on 10 May 2017.

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