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LREC
2010
119views Education» more  LREC 2010»
15 years 7 months ago
Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
Ting-Hao Huang, Lun-Wei Ku, Hsin-Hsi Chen
LREC
2010
166views Education» more  LREC 2010»
15 years 7 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
LREC
2010
234views Education» more  LREC 2010»
15 years 7 months ago
Fine-Grain Morphological Analyzer and Part-of-Speech Tagger for Arabic Text
Morphological analyzers and part-of-speech taggers are key technologies for most text analysis applications. Our aim is to develop a part-of-speech tagger for annotating a wide ra...
Majdi Sawalha, Eric Atwell
LREC
2010
159views Education» more  LREC 2010»
15 years 7 months ago
Towards Optimal TTS Corpora
Unit selection text-to-speech systems currently produce very natural synthesized phrases by concatenating speech segments from a large database. Recently, increasing demand for de...
Didier Cadic, Cédric Boidin, Christophe d'A...
EMNLP
2008
15 years 7 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
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