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Morphological Tagging

13 papers with code · Natural Language Processing

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Neural Factor Graph Models for Cross-lingual Morphological Tagging

ACL 2018 chaitanyamalaviya/NeuralFactorGraph

Morphological analysis involves predicting the syntactic traits of a word (e. g. {POS: Noun, Case: Acc, Gender: Fem}).

MORPHOLOGICAL ANALYSIS MORPHOLOGICAL TAGGING

Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings

ACL 2018 google/meta_tagger

In this paper, we investigate models that use recurrent neural networks with sentence-level context for initial character and word-based representations.

MORPHOLOGICAL TAGGING PART-OF-SPEECH TAGGING WORD EMBEDDINGS

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?

EMNLP 2018 FredericGodin/ContextualDecomposition-NLP

In this paper, we investigate which character-level patterns neural networks learn and if those patterns coincide with manually-defined word segmentations and annotations.

MORPHOLOGICAL TAGGING

Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks

EACL 2017 mcoavoux/mtg

We introduce a constituency parser based on a bi-LSTM encoder adapted from recent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016), which can incorporate a lower level character biLSTM (Ballesteros et al., 2015; Plank et al., 2016).

CONSTITUENCY PARSING MORPHOLOGICAL ANALYSIS MORPHOLOGICAL TAGGING

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

21 Nov 2018Saurav0074/morph_analyzer

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.

DEPENDENCY PARSING MACHINE TRANSLATION MORPHOLOGICAL ANALYSIS MORPHOLOGICAL TAGGING

A General-Purpose Tagger with Convolutional Neural Networks

WS 2017 EggplantElf/sclem2017-tagger

We present a general-purpose tagger based on convolutional neural networks (CNN), used for both composing word vectors and encoding context information.

MORPHOLOGICAL TAGGING PART-OF-SPEECH TAGGING

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

2 Dec 2019NeldaKote/Albanian-POS

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.

LEMMATIZATION MORPHOLOGICAL TAGGING PART-OF-SPEECH TAGGING