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An Unsupervised Method for Uncovering Morphological Chains
Karthik Narasimhan
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Regina Barzilay
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Tommi Jaakkola
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Paper Details:
Year: 2015
Venue:
TACL |
Citations
URL
Unsupervised Morphology Learning with Statistical Paradigms
Hongzhi Xu
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Mitchell Marcus
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Charles Yang
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Lyle Ungar
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Paradigm Completion for Derivational Morphology
Ryan Cotterell
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Ekaterina Vylomova
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Huda Khayrallah
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Christo Kirov
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David Yarowsky
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From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction
Toms Bergmanis
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Sharon Goldwater
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Neural Sequence-to-sequence Learning of Internal Word Structure
Tatyana Ruzsics
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Tanja Samardžić
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Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui
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Yulia Tsvetkov
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Graham Neubig
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Chris Dyer
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MORSE: Semantic-ally Drive-n MORpheme SEgment-er
Tarek Sakakini
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Suma Bhat
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Pramod Viswanath
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Unsupervised Learning of Morphological Forests
Jiaming Luo
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Karthik Narasimhan
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Regina Barzilay
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Unsupervised Learning of Morphology with Graph Sampling
Maciej Sumalvico
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A Joint Model for Word Embedding and Word Morphology
Kris Cao
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Marek Rei
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Improving Coverage of an Inuktitut Morphological Analyzer Using a Segmental Recurrent Neural Network
Jeffrey Micher
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Morphological Analysis for the Maltese Language: The challenges of a hybrid system
Claudia Borg
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Albert Gatt
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Characters or Morphemes: How to Represent Words?
Ahmet Üstün
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Murathan Kurfalı
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Burcu Can
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https://github.com/
http://research.ics.aalto.fi/events/morphochallenge/
Field Of Study
Linguistic Trends
Morphology
Phonology
Task
Morphological Analysis
Semantic Similarity
Word Segmentation
Approach
Generative Model
Discriminative Model
Unsupervised Learning
Language
Multilingual
English
Arabic
Semitic
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