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ICGI
2010
Springer
13 years 6 months ago
Learning PDFA with Asynchronous Transitions
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
Borja Balle, Jorge Castro, Ricard Gavaldà
ICGI
2010
Springer
13 years 6 months ago
Rademacher Complexity and Grammar Induction Algorithms: What It May (Not) Tell Us
Abstract. This paper revisits a problem of the evaluation of computational grammatical inference (GI) systems and discusses what role complexity measures can play for the assessmen...
Sophia Katrenko, Menno van Zaanen
ICGI
2010
Springer
13 years 6 months ago
Grammatical Inference as Class Discrimination
Abstract. Grammatical inference is typically defined as the task of finding a compact representation of a language given a subset of sample sequences from that language. Many di...
Menno van Zaanen, Tanja Gaustad
MT
2002
118views more  MT 2002»
13 years 7 months ago
MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules
The AVENUE project contains a run-time machine translation program that is surrounded by pre- and post-run-time modules. The post-run-time module selects among translation alternat...
Katharina Probst, Lori S. Levin, Erik Peterson, Al...
CORR
1999
Springer
112views Education» more  CORR 1999»
13 years 7 months ago
Learning Transformation Rules to Find Grammatical Relations
Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and-e...
Lisa Ferro, Marc B. Vilain, Alexander S. Yeh
INFORMATICALT
1998
101views more  INFORMATICALT 1998»
13 years 7 months ago
Language Egineering in Lithuania
Language engineering encompassing natural language processing and speech processing became very important for a development of every nation in multilingual Europe. After the Counci...
Joana Lipeikiene, Antanas Lipeika
IR
2002
13 years 7 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
IR
2002
13 years 7 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan