Titlebook: Syntactic Wordclass Tagging; Hans Halteren Book 1999 Springer Science+Business Media B.V. 1999 Markov model.hidden markov model.learning.m

GRATE

abduction

Communal

Tagsetsand the representation of the labels. This includes terminological questions (label names) as well as decisions on the manner of encoding. In addition, we discuss a proposal by the Text Encoding Initiative (TEI) for the encoding of linguistic analyses in corpora using Standard Generalized Markup Language (SGML).

MELD

Gingivitis

Tagging Unknown Wordsnknown words will always be a phenomenon that cannot be ignored. In figure 13.1, we show the number of unrecognized words in a test set from Wall Street Journal text as a function of the number of words in the training set, from which the lexicon has been built.

欲望

Book 1999a hot topic. Annotated texts are of interest for research as well as for the development of natural language pro­ cessing (NLP) applications. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan­ tial a

恸哭

游行

Optic-Disk

彻底明白

cive to large-scale social innovation. The impact of history is of significance, with the impact of recession and deindustrialisation that started in the 1980s, and that still continues today, influencing the policy and practice of actors in the city. The major, lasting innovation in the city is par