![]() ![]() 1990s: Many of the notable early successes on statistical methods in NLP occurred in the field of machine translation, due especially to work at IBM Research, such as IBM alignment models.transformational grammar), whose theoretical underpinnings discouraged the sort of corpus linguistics that underlies the machine-learning approach to language processing. This was due to both the steady increase in computational power (see Moore's law) and the gradual lessening of the dominance of Chomskyan theories of linguistics (e.g. ![]() Starting in the late 1980s, however, there was a revolution in natural language processing with the introduction of machine learning algorithms for language processing. Up to the 1980s, most natural language processing systems were based on complex sets of hand-written rules. An important development (that eventually led to the statistical turn in the 1990s) was the rising importance of quantitative evaluation in this period. Other lines of research were continued, e.g., the development of chatterbots with Racter and Jabberwacky. ![]() Focus areas of the time included research on rule-based parsing (e.g., the development of HPSG as a computational operationalization of generative grammar), morphology (e.g., two-level morphology ), semantics (e.g., Lesk algorithm), reference (e.g., within Centering Theory ) and other areas of natural language understanding (e.g., in the Rhetorical Structure Theory).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |