书目名称 | Syntactic Wordclass Tagging | 编辑 | Hans Halteren | 视频video | | 丛书名称 | Text, Speech and Language Technology | 图书封面 |  | 描述 | In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a 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 amount of human involvement. Allover the world, work is being done to replace as much as possible of this human effort by computer processing. At the frontier of what can already be done (mostly) automatically we find syntactic wordclass tagging, the annotation of the individual words in a text with an indication of their morpho syntactic classification. This book describes the state of the art in syntactic wordclass tagging. As an attempt to give an overall view of the field, this book is of interest to (at least) two, possibly very different, types of reader. The first type consists of those people who are using, or are planning to use, tagged material and taggers. They will want to know what the possibilities and impossibilities of taggin | 出版日期 | Book 1999 | 关键词 | Markov model; hidden markov model; learning; machine learning; performance | 版次 | 1 | doi | https://doi.org/10.1007/978-94-015-9273-4 | isbn_softcover | 978-90-481-5296-4 | isbn_ebook | 978-94-015-9273-4Series ISSN 1386-291X Series E-ISSN 2542-9388 | issn_series | 1386-291X | copyright | Springer Science+Business Media B.V. 1999 |
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