Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm

We present an ecient hybrid method for aligning sentences with their translations in a parallel bilingual corpus. The new algorithm is composed of a length-based and anchor matching method that uses Named Entity recognition. This algorithm combines the speed of length-based models with the accuracy of anchor nding methods. The accuracy of nding cognates for Hungarian-English language pair is extremely low, hence we thought of using a novel approach that includes Named Entity recognition. Due to the well selected anchors it was found to outperform the best two sentence alignment algorithms so far published for the Hungarian-English language pair. Key words: sentence segmentation, sentence alignment, hybrid method, lengthbased alignment, Named Entity recognition, anchor, cognates, dynamic programming

• Type: Journal
• Year: 2008
• Where: ACTAC
• Authors: Krisztina Tóth, Richárd Farkas, András Kocsor
• Keywords: ACTAC 2008, Entity Recognition, Hungarian-English Language Pair, Hybrid Method