Evaluation of Alignment Methods for HTML Parallel Text

The Internet constitutes a potential huge store of parallel text that may be collected to be exploited by many applications such as multilingual information retrieval, machine translation, etc. These applications usually require at least sentence-aligned bilingual text. This paper presents new aligners designed for improving the performance of classical sentence-level aligners while aligning structured text such as HTML. The new aligners are compared with other well-known geometric aligners.

• Type: Conference
• Year: 2006
• Where: FINTAL
• Authors: Enrique Sánchez Villamil, Susana Santos-Antón, Sergio Ortiz-Rojas, Mikel L. Forcada
• Keywords: Classical Sentence-level Aligners, FINTAL 2006, Natural Language Processing, Potential Huge Store, Well-known Geometric Aligners