Results 21 to 30 of about 63,855 (326)

Part of Speech Tagging for Ancient Greek

Open Linguistics, 2016
In this article we report the results for five POS taggers, i.e., the Mate tagger, the Hunpos tagger, RFTagger, theOpenNLP tagger, andNLTKUnigramtagger, tested on the data of the Ancient Greek Dependency Treebank.
Celano Giuseppe G. A., Crane Gregory, Majidi Saeed   +2 more
doaj   +1 more source

Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration [PDF]

, 2013
Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means mapping of source language text into the target language.
Ameta, Juhi, Joshi, Nisheeth, Mathur, Iti   +2 more
core   +1 more source

Data-driven part-of-speech tagging of Kiswahili [PDF]

, 2006
C
De Pauw, G, de Schryver, Gilles-Maurice, Wagacha, PW   +2 more
core   +2 more sources

Reducing Confusion in Active Learning for Part-Of-Speech Tagging

Transactions of the Association for Computational Linguistics, 2021
Active learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntactic analyzers such as part-of-speech (POS) taggers.
Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, Graham Neubig   +3 more
doaj   +1 more source

On the development of a tagset for Northern Sotho with special reference to the issue of standardisation

Literator, 2008
Working with corpora in the South African Bantu languages has up till now been limited to the utilisation of raw corpora. Such corpora, however, have limited functionality.
E. Taljard, G. Faaß, U. Heid, D.J. Prinsloo   +3 more
doaj   +1 more source

Text Preprocessing for Speech Synthesis [PDF]

, 2006
In this paper we describe our text preprocessing modules for English text-to-speech synthesis. These modules comprise rule-based text normalization subsuming sentence segmentation and normalization of non-standard words, statistical part-of-speech ...
Pfitzinger, Hartmut R., Reichel, Uwe D.
core   +3 more sources

Bayesian Belief Networks to handle NLP problems [PDF]

E3S Web of Conferences
In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and ...
Sak Alexander
doaj   +1 more source

MALAY PART OF SPEECH TAGGING USING RULED-BASED APPROACH

Asia-Pacific Journal of Information Technology and Multimedia, 2017
The research on part of speech (POS) tagging has been widely applied and used through a variety of approaches, particularly for European languages. But it is more challenging for Asian languages, especially Malay as it has some element of modification ...
Nur Ashikin Halid, Nazlia Omar
doaj   +1 more source

Detecting proper nouns in indonesian-language translation of the quran using a guided method

Journal of King Saud University: Computer and Information Sciences, 2020
Proper nouns (often abbreviated PN or NNP) are a class of words important in labelling and subsequent text processing, especially in natural language processing (NLP). Name entity recognition (NER) is one study that requires PN.
Suwanto Raharjo, Retantyo Wardoyo, Agfianto Eko Putra   +2 more
doaj   +1 more source

Distributional Part-of-Speech Tagging [PDF]

Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995
This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
openaire   +3 more sources