A Factored Functional Dependency Transformation of the English Penn Treebank for Probabilistic Surface Generation
نویسندگان
چکیده
This paper describes a featurized functional dependency corpus automatically derived from the Penn Treebank. Each word in the corpus is associated with over three dozen features describing the functional syntactic structure of a sentence as well as some shallow morphology. The corpus was created for use in probabilistic surface generation, but could also be useful as a resource for the study of English and the development of other NLP applications.
منابع مشابه
Bilingual Parsing with Factored Estimation: Using English to Parse Korean
We describe how simple, commonly understood statistical models, such as statistical dependency parsers, probabilistic context-free grammars, and word-to-word translation models, can be effectively combined into a unified bilingual parser that jointly searches for the best English parse, Korean parse, and word alignment, where these hidden structures all constrain each other. The model used for ...
متن کاملIs it Really that Difficult to Parse German?
This paper presents a comparative study of probabilistic treebank parsing of German, using the Negra and TüBa-D/Z treebanks. Experiments with the Stanford parser, which uses a factored PCFG and dependency model, show that, contrary to previous claims for other parsers, lexicalization of PCFG models boosts parsing performance for both treebanks. The experiments also show that there is a big diff...
متن کاملPrague Czech-English Dependency Treebank: Any Hopes For A Common Annotation Scheme?
The Prague Czech-English Dependency Treebank (PCEDT) is a new syntactically annotated Czech-English parallel resource. The Penn Treebank has been translated to Czech, and its annotation automatically transformed into dependency annotation scheme. The dependency annotation of Czech is done from plain text by automatic procedures. A small subset of corresponding Czech and English sentences has be...
متن کاملTreebanks in Machine Translation
We present an approach using treebanks in machine translation. Our experiment in Czech-English machine translation is an attempt to develop a full machine translation system based on dependency trees (Dependency Based Machine Translation, DBMT). We use the following resources: Prague Dependency Treebank, a newly created Czech-English parallel corpus of Penn Treebank, English monolingual corpus,...
متن کاملA Probabilistic Generative Model for an Intermediate Constituency-Dependency Representation
We present a probabilistic model extension to the Tesnière Dependency Structure (TDS) framework formulated in (Sangati and Mazza, 2009). This representation incorporates aspects from both constituency and dependency theory. In addition, it makes use of junction structures to handle coordination constructions. We test our model on parsing the English Penn WSJ treebank using a re-ranking framewor...
متن کامل