Distributional Part-of-Speech Tagging
نویسنده
چکیده
This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in con$ezt instead of word ~ypes. The algorithm is evaluated on the Brown Corpus.
منابع مشابه
Using Morphological and Distributional Cues for Inductive Part-of-Speech Tagging
In this paper we evaluate the role of morphological and distributional cues in PoS induction, using an incremental and unsupervised learning algorithm with clustering on a vector space.
متن کاملTask-specific Word-Clustering for Part-of-Speech Tagging
While the use of cluster features became ubiquitous in core NLP tasks, most cluster features in NLP are based on distributional similarity. We propose a new type of clustering criteria, specific to the task of part-of-speech tagging. Instead of distributional similarity, these clusters are based on the behavior of a baseline tagger when applied to a large corpus. These cluster features provide ...
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 کاملAn improved joint model: POS tagging and dependency parsing
Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...
متن کاملMac-Morpho Revisited: Towards Robust Part-of-Speech Tagging
We present a revision of Mac-Morpho, the biggest corpus of Portuguese text containing manually annotated POS tags. Many errors were corrected, yielding a much more reliable resource. We also trained a neural network based classifier for the POS tagging task, following an architecture that achieves state-of-the-art results in English. Our tagger maps each word to a real valued vector and uses it...
متن کامل