Interest in dependency parsing increased because of its efficiency to represent languages with flexible word order. Many research have applied dependency-based syntactic analysis to different languages and results vary depending on the nature of the language. Languages with more flexible word order structure tend to have lower performances compared to more fixed word order languages. This work ...

This paper presents several modifications of the standard annotation projection algorithm for syntactic structures in crosslingual dependency parsing. Our approach reduces projection noise and includes efficient data sub-set selection techniques that have a substantial impact on parser performance in terms of labeled attachment scores. We test our techniques on data from the Universal Dependenc...

We present a simple method to learn continuous representations of dependency substructures (links), with the motivation of directly working with higher-order, structured embeddings and their hidden relationships, and also to avoid the millions of sparse, template-based word-cluster features in dependency parsing. These link embeddings allow a significantly smaller and simpler set of unary featu...

The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free c...

This paper introduces a prosodic phrasing method in Korean to improve the naturalness of speech synthesis, especially in textto-speech conversion. In prosodic phrasing, it is necessary to understand the structure of a sentence through a language processing procedure, such as POS tagging and parsing, since syntactic structure correlates better with the prosodic structure of speech than with othe...

Singlish can be interesting to the ACL community both linguistically as a major creole based on English, and computationally for information extraction and sentiment analysis of regional social media. We investigate dependency parsing of Singlish by constructing a dependency treebank under the Universal Dependencies scheme, and then training a neural network model by integrating English syntact...

We present our CoNLL-2010 Shared Task system in the paper. The system operates in three steps: sequence labeling, syntactic dependency parsing, and classification. We have participated in the Shared Task 1. Our experimental results measured by the in-domain and cross-domain F-scores on the biological domain are 81.11% and 67.99%, and on the Wikipedia domain 55.48% and 55.41%.

This work complements a parallel paper of a new finite-state dependency parser architecture (Yli-Jyrä, 2012) by a proposal for a linguistically elaborated morphology-syntax interface and its finite-state implementation. The proposed interface extends Gaifman’s (1965) classical dependency rule formalism by separating lexical word forms and morphological categories from syntactic categories. The ...

This paper presents a set of experiments performed on parsing the Basque Dependency Treebank. We have concentrated on treebank transformations, maintaining the same basic parsing algorithm across the experiments. The experiments can be classified in two groups: 1) feature optimization, which is important mainly due to the fact that Basque is an agglutinative language, with a rich set of morphos...

In this paper, I describe a hybrid dependency tree parser for Sanskrit sentences improving on a purely lexical parsing approach through simple syntactic rules and grammatical information. The performance of the parser is demonstrated on a group of sentences from epic literature.