Morphological Tagging

23 papers with code • 0 benchmarks • 4 datasets

Morphological tagging is the task of assigning labels to a sequence of tokens that describe them morphologically. As compared to Part-of-speech tagging, morphological tagging also considers morphological features, such as case, gender or the tense of verbs.

Most implemented papers

Modeling Composite Labels for Neural Morphological Tagging

AleksTk/seq-morph-tagger CONLL 2018

Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure.

Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction

Saurav0074/morph_analyzer 21 Nov 2018

The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich Languages (MRLs) a notoriously complicated task.

Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation

ispras-texterra/word-embeddings-eval-hy 7 Jun 2019

In this work, we intrinsically and extrinsically evaluate and compare existing word embedding models for the Armenian language.

Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging

erayyildiz/Morpheus WS 2019

In this study, we present Morpheus, a joint contextual lemmatizer and morphological tagger.

Inforex --- a Collaborative Systemfor Text Corpora Annotation and Analysis Goes Open

CLARIN-PL/Inforex RANLP 2019

In the paper we present the latest changes introduce to Inforex {---} a web-based system for qualitative and collaborative text corpora annotation and analysis.

Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models

NeldaKote/Albanian-POS 2 Dec 2019

In this paper, we present the first publicly available part-of-speech and morphologically tagged corpus for the Albanian language, as well as a neural morphological tagger and lemmatizer trained on it.

Evaluating Neural Morphological Taggers for Sanskrit

ashim95/sanskrit-morphological-taggers WS 2020

Neural sequence labelling approaches have achieved state of the art results in morphological tagging.

Tagging and parsing of multidomain collections

AlexeySorokin/GramEval2020 Proceedings of the International Conference “Dialogue 2020” 2020

In this paper we describe our submission to GramEval2020 competition on morphological tagging, lemmatization and dependency parsing.