Tamil Dependency Parsing: Results Using Rule Based and Corpus Based Approaches

Author(s):  
Loganathan Ramasamy ◽  
Zdeněk Žabokrtský
2017 ◽  
Vol 8 (2) ◽  
pp. 26-42 ◽  
Author(s):  
Md. Majharul Haque ◽  
Suraiya Pervin ◽  
Zerina Begum

The object of this research work is to replace pronoun by corresponding noun for Bangla news documents. To the best of our knowledge, this is the first initiative to solve the problem of dangling pronoun where corresponding noun is not available. If the information retrieval procedures extract any sentence with dangling pronoun, it may raise confusion to the user. To mitigate this problem, a method has been proposed here by using general and special tagging, dependency parsing, full name identifying and finally pronoun replacing. For achieving the target of this method, 3000 Bangla news documents have been analyzed and some grammar books have been studied. Seven knowledgeable persons in the arena of Bangla language also helped us in this research work. Finally, the proposed method shows 71.80% accuracy in the evaluation for replacing pronoun.


1992 ◽  
Vol 23 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Pamela G. Garn-Nunn ◽  
Vicki Martin

This study explored whether or not standard administration and scoring of conventional articulation tests accurately identified children as phonologically disordered and whether or not information from these tests established severity level and programming needs. Results of standard scoring procedures from the Assessment of Phonological Processes-Revised, the Goldman-Fristoe Test of Articulation, the Photo Articulation Test, and the Weiss Comprehensive Articulation Test were compared for 20 phonologically impaired children. All tests identified the children as phonologically delayed/disordered, but the conventional tests failed to clearly and consistently differentiate varying severity levels. Conventional test results also showed limitations in error sensitivity, ease of computation for scoring procedures, and implications for remediation programming. The use of some type of rule-based analysis for phonologically impaired children is highly recommended.


Author(s):  
Bettina von Helversen ◽  
Stefan M. Herzog ◽  
Jörg Rieskamp

Judging other people is a common and important task. Every day professionals make decisions that affect the lives of other people when they diagnose medical conditions, grant parole, or hire new employees. To prevent discrimination, professional standards require that decision makers render accurate and unbiased judgments solely based on relevant information. Facial similarity to previously encountered persons can be a potential source of bias. Psychological research suggests that people only rely on similarity-based judgment strategies if the provided information does not allow them to make accurate rule-based judgments. Our study shows, however, that facial similarity to previously encountered persons influences judgment even in situations in which relevant information is available for making accurate rule-based judgments and where similarity is irrelevant for the task and relying on similarity is detrimental. In two experiments in an employment context we show that applicants who looked similar to high-performing former employees were judged as more suitable than applicants who looked similar to low-performing former employees. This similarity effect was found despite the fact that the participants used the relevant résumé information about the applicants by following a rule-based judgment strategy. These findings suggest that similarity-based and rule-based processes simultaneously underlie human judgment.


2012 ◽  
Author(s):  
Sebastien Helie ◽  
Shawn W. Ell ◽  
J. Vincent Filoteo ◽  
Brian D. Glass ◽  
W. W. Todd Maddox

2009 ◽  
Author(s):  
Michael A. Garcia ◽  
Nate Kornell ◽  
Robert A. Bjork

2006 ◽  
Author(s):  
Daniel Lafond ◽  
Yves Lacouture ◽  
Guy Mineau

2014 ◽  
Author(s):  
Shawn Ell ◽  
Steve Hutchinson ◽  
Lauren Hawthorne ◽  
Lauren Szymula ◽  
Shannon K. McCoy

Sign in / Sign up

Export Citation Format

Share Document