منابع مشابه
Part-of-Speech Tagging for Historical English
As more historical texts are digitized, there is interest in applying natural language processing tools to these archives. However, the performance of these tools is often unsatisfactory, due to language change and genre differences. Spelling normalization heuristics are the dominant solution for dealing with historical texts, but this approach fails to account for changes in usage and vocabula...
متن کاملMarkov Random Eld Based English Part-of-speech Tagging System
Probabilistic models have been widely used for natural language processing. Part-of-speech tagging, which assigns the most likely tag to each word in a given sentence, is one of the problems which can be solved by statistical approach. Many researchers have tried to solve the problem by hidden Markov model (HMM), which is well known as one of the statistical models. But it has many diiculties: ...
متن کاملPart-of-Speech Tagging for English-Spanish Code-Switched Text
Code-switching is an interesting linguistic phenomenon commonly observed in highly bilingual communities. It consists of mixing languages in the same conversational event. This paper presents results on Part-of-Speech tagging Spanish-English code-switched discourse. We explore different approaches to exploit existing resources for both languages that range from simple heuristics, to language id...
متن کاملPart of Speech Tagging for English Text Data
A variety of Natural Language Processing (NLP) tasks, such as named entity recognition, stemming and question answering, benefit from knowledge of the words syntactic categories or Partof-Speech (POS) [4][6]. POS taggers have been successfully applied to assign a single best POS to every word in a corpus [2][5][12]. This paper reports on the implementation and empiric comparison of three superv...
متن کاملThe nature of affixing in written English, part II
This is a continuation of the authors' paper of the same title which appeared in Volume 8 of this journal. The present part extends the authors' definitions of prefix and suffix (in written English) to corpora of three-vowel-string words, and implements them on a corpus K consisting of 19,329 graphemically distinct three-vowel-string words from the Shorter Oxford Dictionary. The notion of a par...
متن کاملMarkov random field based English Part-Of-Speech tagging system
Probabilistic models have been widely used for natural language processing. Part-of-speech tagging, which assigns the most likely tag to each word in a given sentence, is one. of tire problems which can be solved by statisticM approach. Many researchers haw~ tried to solve the problem by hidden Marker model (HMM), which is well known as one of the statistical models. But it has many difficultie...
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عنوان ژورنال:
نشریه شهرسازی و معماریجلد ۴، شماره شماره ۵۳ و ۵۴، صفحات ۲۹۷-۳۰۷
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