Apertium-IceNLP: A rule-based Icelandic to English machine translation system Martha Dís Brandt, Hrafn Loftsson, Francis M. Tyers Hlynur Sigurþórsson School of Computer Science Dept. Lleng. i. Sist. Inform. Reykjavik University Universitat d’Alacant IS-101 Reykjavik, Iceland E-03071 Alacant, Spain {marthab08,hrafn,hlynurs06}@ru.is
[email protected] Abstract translate between the source language (SL) and the target language (TL). We describe the development of a pro- SMT has many advantages, e.g. it is data-driven, totype of an open source rule-based language independent, does not need linguistic ex- Icelandic English MT system, based on perts, and prototypes of new systems can by built → the Apertium MT framework and IceNLP, quickly and at a low cost. On the other hand, the a natural language processing toolkit for need for parallel corpora as training data in SMT Icelandic. Our system, Apertium-IceNLP, is also its main disadvantage, because such corpora is the first system in which the whole are not available for a myriad of languages, espe- morphological and tagging component of cially the so-called less-resourced languages, i.e. Apertium is replaced by modules from languages for which few, if any, natural language an external system. Evaluation shows processing (NLP) resources are available. When that the word error rate and the position- there is a lack of parallel corpora, other machine independent word error rate for our pro- translation (MT) methods, such as rule-based MT, totype is 50.6% and 40.8%, respectively. e.g. Apertium (Forcada et al., 2009), may be used As expected, this is higher than the corre- to create MT systems.