A POS-Tagger generator for unknown languages
نویسندگان
چکیده
منابع مشابه
Probabilistic Arabic Part of Speech Tagger with Unknown Words Handling
Part Of Speech (POS) tagger is an essential preprocessing step in many natural language applications. In this paper, we investigate the best configuration of trigram Hidden Markov Model (HMM) Arabic POS tagger when small tagged corpus is available. With small training data, unknown word POS guessing is the main problem. This problem becomes more serious in languages which have huge size of voca...
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Part of Speech (POS) tagging can be described as a task of doing automatic annotation of syntactic categories for each word in a text document. This paper presents a POS tagger for Bengali using the statistical Maximum Entropy (ME) model. The system makes use of the different contextual information of the words along with the variety of features that are helpful in predicting the various POS cl...
متن کاملA Multi-Domain Web-Based Algorithm for POS Tagging of Unknown Words
We present a web-based algorithm for the task of POS tagging of unknown words (words appearing only a small number of times in the training data of a supervised POS tagger). When a sentence s containing an unknown word u is to be tagged by a trained POS tagger, our algorithm collects from the web contexts that are partially similar to the context of u in s, which are then used to compute new ta...
متن کاملسیستم برچسب گذاری اجزای واژگانی کلام در زبان فارسی
Abstract: Part-Of-Speech (POS) tagging is essential work for many models and methods in other areas in natural language processing such as machine translation, spell checker, text-to-speech, automatic speech recognition, etc. So far, high accurate POS taggers have been created in many languages. In this paper, we focus on POS tagging in the Persian language. Because of problems in Persian POS t...
متن کاملMorphological Ending – based Strategies of Unknown Word Estimation for Statistical POS Urdu Tagger
Natural language processing has widely used Statistical based language models to solve disambiguation problems. Over the past decades different techniques regarding POS tagging have been proposed for English, European and East Asian languages. In this paper our focus is POS tagging for Urdu due to the infancy stage of Urdu language based tagging system. We have combined two approaches (Statisti...
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ورودعنوان ژورنال:
- Procesamiento del Lenguaje Natural
دوره 27 شماره
صفحات -
تاریخ انتشار 2001