[PDF] Top 20 Using a Morphological Database to Increase the Accuracy in POS Tagging
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Using a Morphological Database to Increase the Accuracy in POS Tagging
... by using a backup lexicon extracted from a large corpus (which is differ- ent from the training ...a morphological database to extend a tagger’s dictionary, but use a corpus for deriving frequency ... See full document
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Using a Small Lexicon with CRFs Confidence Measure to Improve POS Tagging Accuracy
... In comparison with the tag set presented in (Outahajala et al., 2011), most classes’ performance increased. We obtained 96.24% vs. 94% for prepositions class, 65.38% vs. 60.7% for adverbs, 87.02% vs. 84.6% for ... See full document
5
Part-of-speech Tagging for Hindi Corpus in Poor Resource Scenario
... of-speech tagging approaches for ...part-of-speech tagging is developed by Lexical Resources for Indian Languages (LERIL); named as “Annotated Corpora” ...was using a statistical approach for ... See full document
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POS Tagging for Historical Texts with Sparse Training Data
... crease tagging accuracy for the Melk text from 45% to ...relative increase, more than dou- bling the number of correct POS ...when using 250 tokens for training; after this figure, ... See full document
8
POS Tagging Experts via Topic Modeling
... the POS tagging expert are not very different from each ...for POS tagging on sections ...in accuracy is rather small, the differences between training and test set do not seem to ... See full document
9
POS tagging of Historical Dutch
... for POS-tagging historical Dutch texts, as well as an exploration of the influence of employing different techniques to improve upon the current ...to tagging them with a tagger trained on ... See full document
6
Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis
... into POS taggers through conditional random field (CRF) models, yielding very accu- rate models, which are also better at handling un- known words than conventional ...of POS tagging is important for ... See full document
9
Tagging the Bard:Evaluating the Accuracy of a Modern POS Tagger on Early Modern English Corpora
... automated tagging program will fail utterly, as such programs rely - amongst other things - on matching words against ...as morphological variants ... See full document
14
Parsing German: How Much Morphology Do We Need?
... corresponding tagging tasks differ in the level of ...evaluate POS tagging on its own, especially since it is not always the case that a larger label set automatically results in a more difficult ... See full document
14
Detecting Noun Compounds and Light Verb Constructions: a Contrastive Study
... Caseli et al. (2010) developed an alignment-based method for extracting multiword expressions from parallel corpora. This method is also applied to the pediatrics domain (Caseli et al., 2009). Zarrieß and Kuhn (2009) ... See full document
6
Joint Word Segmentation and POS Tagging Using a Single Perceptron
... the POS tagging problem, a new in- coming word enlarges the number of possible can- didates by a factor of T (the size of the tag ...baseline POS tagger can keep 1/T for the next processing stage, ... See full document
9
POS Tagging for Arabic Tweets
... of accuracy, is yet to be developed (Elsahar and El-Beltagy, ...building POS tools for Arabic tweets or similar text ...for tagging Arabic social media and they have assumed labelled train- ing ... See full document
8
A New Approach to the POS Tagging Problem Using Evolutionary Computation
... It is our belief that the information stored in the training tables of the probabilistic approach can be interpreted as a set of instances. Each of these instances is typically described by a set of mea- surable ... See full document
7
Parallel Algorithms for Unsupervised Tagging
... For POS tagging, this method (Ravi and Knight, 2009) yields the best performance to date; ...91.6% tagging accuracy on a standard test dataset from the English Penn ... See full document
14
Simple Semi Supervised POS Tagging
... Ryan T McDonald, Joakim Nivre, Yvonne Quirmbach- Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith B Hall, Slav Petrov, Hao Zhang, Oscar T¨ackstr¨om, et al. 2013. Universal dependency annota- tion for ... See full document
9
UDPipe: Trainable Pipeline for Processing CoNLL U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing
... Tokenization is usually considered a trivial task for many languages, notably for those that use separators between words. Nevertheless, treebanks in many languages use language-specific or even treebank-specific rules ... See full document
8
Extracting Comparative Sentences from Twitter Using POS tagging
... Bank POS Tagging Scheme. The POS tags and their categories that are important to this work are: NN: Noun, NNP: Proper Noun, VBZ: Verb, present tense, 3 rd person singular, JJ: Adjective, RB: Adverb, ... See full document
5
Advanced Tamil POS Tagger for Language Learners
... (POS) Tagging is an important process in the field of Natural Language ...part-of-speech tagging also called as grammatical information tagging is the process of assigning grammatical tag to ... See full document
5
Improving POS Tagging in Old Spanish Using TEITOK
... And finally, multiple tokens throughout the cor- pus can be corrected in batch mode using CWB queries. CWB can be used to search for very spe- cific words that are frequently tagged incorrectly, and all words in ... See full document
5
Morphological features help POS tagging of unknown words across language varieties
... part-of-speech tagging has re- sulted in taggers that perform well when the training set and test set are both drawn from the same ...that using sophisticated morpho- logical features can help solve this ... See full document
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