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Description of the Chinese-to-Spanish Rule-Based Machine Translation System Developed Using a Hybrid Combination of Human Annotation and Statistical Techniques
Marta R. Costa-Jussà, Jordi Centelles
Article No.: 1
Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and corpus based, which include the statistical systems (SMT). When scarce parallel corpus is available, RBMT becomes particularly attractive. This is the case of the...
A Hybrid Feature Extraction Algorithm for Devanagari Script
Deepti Khanduja, Neeta Nain, Subhash Panwar
Article No.: 2
The efficiency of any character recognition technique is directly dependent on the accuracy of the generated feature set that could uniquely represent a character and hence correctly recognize it. This article proposes a hybrid approach combining...
Improving Handwritten Arabic Character Recognition by Modeling Human Handwriting Distortions
Maad Shatnawi, Sherief Abdallah
Article No.: 3
Handwritten Arabic character recognition systems face several challenges, including the unlimited variation in human handwriting and the unavailability of large public databases of handwritten characters and words. The use of synthetic data for...
A Constraint Approach to Pivot-Based Bilingual Dictionary Induction
Mairidan Wushouer, Donghui Lin, Toru Ishida, Katsutoshi Hirayama
Article No.: 4
High-quality bilingual dictionaries are very useful, but such resources are rarely available for lower-density language pairs, especially for those that are closely related. Using a third language to link two other languages is a well-known...
Speech Act Identification Using Semantic Dependency Graphs with Probabilistic Context-Free Grammars
Article No.: 5
We propose an approach for identifying the speech acts of speakers’ utterances in conversational spoken dialogue that involves using semantic dependency graphs with probabilistic context-free grammars (PCFGs). The semantic dependency graph...