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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 176–200 of 452 papers

TitleStatusHype
Sudachi: a Japanese Tokenizer for BusinessCode0
Building a Morphological Treebank for German from a Linguistic Database—0
Building a List of Synonymous Words and Phrases of Japanese Compound Verbs—0
Finite-state morphological analysis for Gagauz—0
A Morphologically Annotated Corpus of Emirati Arabic—0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Semi-automatic Korean FrameNet Annotation over KAIST Treebank—0
Handling Rare Word Problem using Synthetic Training Data for Sinhala and Tamil Neural Machine Translation—0
SentiArabic: A Sentiment Analyzer for Standard Arabic—0
Parsivar: A Language Processing Toolkit for PersianCode0
Building a Word Segmenter for Sanskrit OvernightCode0
Extraction of Verbal Synsets and Relations for FarsNet—0
Initial Experiments in Data-Driven Morphological Analysis for Finnish—0
Guessing lexicon entries using finite-state methods—0
Building a Finnish SOM-based ontology concept tagger and harvester—0
Analysing Finnish with word lists: the DDI approach to morphology revisited—0
Arabic-English Text Translation Leveraging Hybrid NER—0
Japanese all-words WSD system using the Kyoto Text Analysis ToolKit—0
Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization—0
Morphology-based Entity and Relational Entity Extraction Framework for Arabic—0
Unsupervised Learning of Morphology with Graph Sampling—0
Non-Deterministic Segmentation for Chinese Lattice Parsing—0
Segmentation Granularity in Dependency Representations for Korean—0
Character-based recurrent neural networks for morphological relational reasoning—0
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese—0
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