scispace - formally typeset
Open AccessProceedings Article

Universal Dependency Annotation for Multilingual Parsing

Reads0
Chats0
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

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments

TL;DR: The principal novelty in the work is to treat stems as vectors and affixes as functions over vectors, so that the model’s architecture more closely resembles the compositionality of morphemes in natural language.
Proceedings ArticleDOI

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing

TL;DR: A back-and-forth conversion algorithm is proposed, in which a preprocess the training treebank to increase parsability, and reconvert the parser outputs to follow the UD scheme as a postprocess, which consistently improves LAS across languages even with a state-of-the-art parser.
Proceedings ArticleDOI

Universal Dependencies for Arabic Tweets

TL;DR: This paper maps the Arabic tweets dependency treebank (ATDT) to the Universal Dependency (UD) scheme to compare it to other language resources and for the purpose of cross-lingual studies.
Journal ArticleDOI

MorphoBr: an open source large-coverage full-form lexicon for morphological analysis of Portuguese

TL;DR: The first evaluation results show MorphoBr to be a promising initiative which will directly contribute to the development of more robust natural language processing tools and applications which depend on wide-coverage morphological analysis.
Dissertation

The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content

TL;DR: This thesis is concerned with the statistical machine translation of Symantec's Norton forum content, focusing in particular on its quality estimation (QE) using syntactic and semantic information, and introduces PAM, a QE metric based on the predicate-argument structure match between source and target.
References
More filters
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.
Related Papers (5)