搜索结果: 1-15 共查到“普通语言学 Parsing”相关记录22条 . 查询时间(0.109 秒)
Frame-Semantic Parsing
Frame-Semantic linguistics
2015/9/14
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model
that takes l...
Morphological and Syntactic Case in Statistical Dependency Parsing
Morphological and Syntactic Dependency Parsing
2015/9/11
Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The
standard pipe...
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language
German Less-Confi gurational Language
2015/9/11
We study constituent parsing of German, a morphologically rich and less-configurational
language. We use a probabilistic context-free grammar treebank grammar that has been adapted
to the morp...
Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System
Word Segmentation, Unknown-word Resolution
2015/9/11
We present a constituency parsing system for Modern Hebrew. The system is based on the
PCFG-LA parsing method of Petrov et al. (2006), which is extended in various ways in order
to accommodate the s...
Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features
Standard Arabic Infl ectional Features
2015/9/11
We explore the contribution of lexical and inflectional morphology features to dependency
parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled ex...
Multiword expressions lie at the syntax/semantics interface and have motivated alternative
theories of syntax like Construction Grammar. Until now, however, syntactic analysis and
multiword expressi...
Human syntactic processing shows many signs of taking place within a general-purpose
short-term memory. But this kind of memory is known to have a severely constrained storage
capacity — possibly co...
Research on child language acquisition would benefit from the availability of a large body of syntactically parsed utterances between parents and children. We consider the problem of generating such a...
Parsing in a free word order language.
Parsing with Treebank Grammars:Empirical Bounds,Theoretical Models,and the Structure of the Penn Treebank
Treebank Grammars Empirical Bounds Theoretical Models Penn Treebank
2015/6/12
This paper presents empirical studies and closely corresponding theoretical models of the performance of a chart parser exhaustively parsing the Penn Treebank with the Treebank’s own CFG grammar. We s...
We demonstrate that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down false independence assu...
Efficient, Feature-based, Conditional Random Field Parsing
Efficient Feature-based Conditional Random Field
2015/6/12
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parser...
Punctuation:Making a Point in Unsupervised Dependency Parsing
Punctuation Unsupervised Dependency Parsing
2015/6/10
We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Tre...
Parsing Time:Learning to Interpret Time Expressions
Parsing Time Interpret Time Expressions
2015/6/10
We present a probabilistic approach for learning to interpret temporal phrases given only a corpus of utterances and the times they reference. While most approaches to the task have used regular expre...
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
Unsupervised Dependency Parsing Gold Part Speech Tags
2015/6/10
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering algorithms, our metho...