This work presents Stagger, a new open-source part of speech tagger for Swedish based on
the Averaged Perceptron. By using the SALDO morphological lexicon and semi-supervised …

Abstract The First Release of the American National Corpus (ANC) was made available in
mid-fall, 2003. The data includes approximately 11 million words of American English …

Ensemble system for part-of-speech (POS) tagging is beneficial for many resource-poor
languages that do not have enough annotated training data to train Deep Learning (DL, also …

In a setting where multiple automatic annotation approaches coexist and advance
separately but none completely solve a specific problem, the key might be in their …

The influence of English continues to grow to the extent that its expressions have begun to
permeate the original forms of other languages. It has become more acceptable, and in …

In this paper, we describe the development of a new tagged corpus of Icelandic, consisting
of about 1 million tokens. The goal is to use the corpus, among other things, as a new gold …

While supervised corpus-based methods are highly accurate for different NLP tasks,
including morphological tagging, they are difficult to port to other languages because they …

This paper presents a comparative evaluation of three state-of-the-art classifiers for Sinhala
Parts-of-Speech (POS) tagging. Support Vector Machines (SVM), Hidden Markov Models …

This paper describes the architecture of the American National Corpus and the design
decisions we have made in order to make the corpus easy to use with a variety of existing …

The main task of part-of-speech (PoS) tagging is to assign the appropriate morphosyntactic
category to each word in a sentence. A combination of different PoS taggers usually results …