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Morphological Analysis

Morphological Analysis is a central task in language processing that can take a word as input and detect the various morphological entities in the word and provide a morphological representation of it.

Source: Towards Finite-State Morphology of Kurdish

Papers

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Showing 226–250 of 452 papers

TitleStatusHype
Improving Coverage of an Inuktitut Morphological Analyzer Using a Segmental Recurrent Neural Network—0
A Morphology-aware Network for Morphological DisambiguationCode0
Decoding with Finite-State Transducers on GPUs—0
Joint Semantic Synthesis and Morphological Analysis of the Derived Word—0
Merging the Trees - Building a Morphological Treebank for German from Two Resources—0
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer—0
CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation—0
`BonTen' -- Corpus Concordance System for `NINJAL Web Japanese Corpus'—0
Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings—0
Splitting compounds with ngrams—0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine—0
Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal DependenciesCode0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?—0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Japanese Text Normalization with Encoder-Decoder Model—0
Improving the Morphological Analysis of Classical Sanskrit—0
Neural Morphological Analysis: Encoding-Decoding Canonical Segments—0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data ScarcityCode0
Korean Language Resources for Everyone—0
The SIGMORPHON 2016 Shared Task---Morphological Reinflection—0
Learning Transducer Models for Morphological Analysis from Example Inflections—0
KSAnswer: Question-answering System of Kangwon National University and Sogang University in the 2016 BioASQ Challenge—0
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