Development of a Cebuano Parse Tree for a Grammar Correction Tool Using Deep Parsing

2018 ◽  
Author(s):  
Jan Mikhail Gaid ◽  
Robert Michael Lim ◽  
Christian Maderazo
Keyword(s):  
Parse Tree ◽  
Grammar Correction

Tree kernel-based semantic role labeling with enriched parse tree structure

2011 ◽  
Vol 47 (3) ◽  
pp. 349-362 ◽  
Author(s):  
GuoDong Zhou ◽  
Junhui Li ◽  
Jianxi Fan ◽  
Qiaoming Zhu
Keyword(s):  
Tree Structure ◽  
Parse Tree ◽  
Semantic Role ◽  
Semantic Role Labeling ◽  
Tree Kernel

scholarly journals Word-Order Issues in English-to-Urdu Statistical Machine Translation

2011 ◽  
Vol 95 (1) ◽  
pp. 87-106 ◽  
Author(s):  
Bushra Jawaid ◽  
Daniel Zeman
Keyword(s):  
Machine Translation ◽  
Word Order ◽  
Statistical Machine Translation ◽  
Parse Tree ◽  
Hard Problem ◽  
Long Distance ◽  
Translation Process ◽  
English Sentence ◽  
European Languages

Word-Order Issues in English-to-Urdu Statistical Machine Translation We investigate phrase-based statistical machine translation between English and Urdu, two Indo-European languages that differ significantly in their word-order preferences. Reordering of words and phrases is thus a necessary part of the translation process. While local reordering is modeled nicely by phrase-based systems, long-distance reordering is known to be a hard problem. We perform experiments using the Moses SMT system and discuss reordering models available in Moses. We then present our novel, Urdu-aware, yet generalizable approach based on reordering phrases in syntactic parse tree of the source English sentence. Our technique significantly improves quality of English-Urdu translation with Moses, both in terms of BLEU score and of subjective human judgments.

scholarly journals ENHANCING STUDENTS’ MOTIVATION IN LEARNING ENGLISH GRAMMAR THROUGH A COMPUTER-SUPPORTED LEARNING CLASSROOM MANAGEMENT

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Bahruddin Bahruddin
Keyword(s):  
Classroom Management ◽  
Motivational Factors ◽  
Control Group ◽  
Pedagogical Practice ◽  
English Grammar ◽  
Grammar Correction ◽  
Before And After ◽  
Experimental Group ◽  
Learning English

This research is to examine the students‘motivational factors and attitude towards the learning ofEnglish grammar in a Computer-supported LearningSystem. Twenty-nine students were taught with astudent-centered approach and three grammar learningweb sites were used frequently for classroom andindividual English grammar practice, whereas anothertwenty-nine were taught with the traditional teachercenteredapproach. Both groups were given grammarcorrection and explanation tests before and after thestudy. After comparing the results of the pre-test andpost-test with those of the control group, it was foundthat the experimental group excelled over the controlgroup in both grammar correction and grammarexplanation. It proved that students‘ implicit andexplicit knowledge on English grammar was greatlyimproved by the computer-supported teaching methodsand environment. Further interviews with the studentsalso revealed that the new pedagogical practice hadprovided many positive motivational factors insupporting students‘ learning process.Keywords: motivation, grammar, computer-supportedclassroom.

scholarly journals One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations

2015 ◽  
Vol 3 ◽  
pp. 329-344 ◽  
Author(s):  
Yangfeng Ji ◽  
Jacob Eisenstein
Keyword(s):  
Parse Tree ◽  
Discourse Relations ◽  
Linguistic Units

Discourse relations bind smaller linguistic units into coherent texts. Automatically identifying discourse relations is difficult, because it requires understanding the semantics of the linked arguments. A more subtle challenge is that it is not enough to represent the meaning of each argument of a discourse relation, because the relation may depend on links between lowerlevel components, such as entity mentions. Our solution computes distributed meaning representations for each discourse argument by composition up the syntactic parse tree. We also perform a downward compositional pass to capture the meaning of coreferent entity mentions. Implicit discourse relations are then predicted from these two representations, obtaining substantial improvements on the Penn Discourse Treebank.

scholarly journals Biomedical event detection using rules, conditional random fields and parse tree distances

2009 ◽  
Author(s):  
Farzaneh Sarafraz ◽  
James Eales ◽  
Reza Mohammadi ◽  
Jonathan Dickerson ◽  
David Robertson ◽  
...  
Keyword(s):  
Event Detection ◽  
Random Fields ◽  
Conditional Random Fields ◽  
Parse Tree

CHINESE GRAMMAR AUTO-CORRECT WEBSITE CHINESEGRAMMARCHECKER.COM DEVELOPMENT MODEL

2019 ◽  
Vol 1 (1) ◽  
pp. 137-146
Author(s):  
Julita Wangi ◽  
Kelly Rosalin ◽  
Theresia Theresia
Keyword(s):  
Language Learners ◽  
Native Language ◽  
Chinese Language ◽  
Qualitative Approach ◽  
Development Model ◽  
Advantages And Disadvantages ◽  
Grammar Correction ◽  
Grammatical Errors ◽  
Basic Level ◽  
Chinese Language Learners

In the process of learning and using Chinese, Indonesia students may have grammatical errors due to negative migration of their native language. At present, there is no Mandarin grammar correction website or application that can answer the needs of Mandarin learners. Therefore, researchers want to try to provide a website chinesegrammarchecker.com that can answer the needs of Chinese language learners in Indonesia so as to facilitate Chinese language learners in mastering Chinese grammar. Hope researchers are learners can learn independently in making sentences in Chinese using proper and correct Chinese grammar. The method used in this study is a qualitative approach. The researcher will collect basic level Chinese grammar patterns in the textbooks used in the Chinese Language I courses, namely Er Ya Basic Chinese: Comprehensive Course (I) and Basic Chinese: Comprehensive Course (II). Then from these patterns user can check their sentences on this website. After the website chinesegrammarchecker.com was completed, then it was tested for several users to see the advantages and disadvantages of this website chinesegrammarchecker.com.

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