Modern Information Retrieval
An IR approach for translating new words from nonparallel, comparable texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Solving analogies on words: an algorithm
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An analogical learner for morphological analysis
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Translating biomedical terms by inferring transducers
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Estimating the proximity between languages by their commonality in vocabulary structures
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
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Term translation has become a recurring need in many domains. This creates an interest for robust methods which can translate words in various languages. We propose a novel, analogy-based method to generate word translations. It relies on a partial bilingual lexicon and solves bilingual analogical equations to create candidate translations. We evaluate our approach on medical terms. To study the robustness of the method, we evaluate it on a series of datasets taken from different language groups and using different scripts. We investigate to which extend the approach can cope directly with multiword terms, and study its dependency to the size of the training set.