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Universal Dependency Annotation for Multilingual Parsing

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TLDR
A new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean is presented, made freely available in order to facilitate research on multilingual dependency parsing.
Abstract
We present a new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean. To show the usefulness of such a resource, we present a case study of crosslingual transfer parsing with more reliable evaluation than has been possible before. This ‘universal’ treebank is made freely available in order to facilitate research on multilingual dependency parsing. 1

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Dissertation

From Aari to Zulu: Massively Multilingual Creation of Language Tools using Interlinear Glossed Text

Ryan Georgi
TL;DR: This dissertation examines the suitability of Interlinear Glossed Text (IGT) as a computational, semi-structured resource for creating NLP tools for resource-poor languages, with a focus on the tasks of word alignment, part-of-speech (POS) tagging, and dependency parsing.

Un corpus annoté pour le français : le French Treebank

TL;DR: The French Treebank (FTB) as mentioned in this paper is a lexical and syntactic resource with rich annotation and manual validation, which is usable by linguists and for NLP and has about 300 users in the world.
Book ChapterDOI

Community Standards for Linguistically-Annotated Resources

TL;DR: This chapter describes in some detail several current, major efforts that define the standardization landscape for language resources today, with the aim of outlining their differences and commonalities and identifying the progress that has been made to date as well as the obstacles to definitive standardization.
Journal ArticleDOI

Dependency parsing with finite state transducers and compression rules

TL;DR: The results show that the performance of the cross-lingual method does not change across related languages and across different treebanks, while most supervised methods turn out to be very dependent on the text domain used to train the system.
Proceedings ArticleDOI

tweeDe – A Universal Dependencies treebank for German tweets

TL;DR: This paper introduces the first German treebank for Twitter microtext, annotated within the framework of Universal Dependencies, and describes the data selection and annotation process and presents baseline parsing results for the new testsuite.
References
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ReportDOI

Building a large annotated corpus of English: the penn treebank

TL;DR: As a result of this grant, the researchers have now published on CDROM a corpus of over 4 million words of running text annotated with part-of- speech (POS) tags, which includes a fully hand-parsed version of the classic Brown corpus.
Proceedings ArticleDOI

Accurate Unlexicalized Parsing

TL;DR: It is demonstrated 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 assumptions latent in a vanilla treebank grammar.
Proceedings Article

Generating Typed Dependency Parses from Phrase Structure Parses

TL;DR: A system for extracting typed dependency parses of English sentences from phrase structure parses that captures inherent relations occurring in corpus texts that can be critical in real-world applications is described.
Proceedings ArticleDOI

CoNLL-X Shared Task on Multilingual Dependency Parsing

TL;DR: How treebanks for 13 languages were converted into the same dependency format and how parsing performance was measured is described and general conclusions about multi-lingual parsing are drawn.
Proceedings ArticleDOI

The Stanford Typed Dependencies Representation

TL;DR: This paper examines the Stanford typed dependencies representation, which was designed to provide a straightforward description of grammatical relations for any user who could benefit from automatic text understanding, and considers the underlying design principles of the Stanford scheme.
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