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Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
Teemu Ruokolainen
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Oskar Kohonen
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Sami Virpioja
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Mikko Kurimo
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology
Stig-Arne Grönroos
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Sami Virpioja
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Peter Smit
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Mikko Kurimo
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Neural Morphological Analysis: Encoding-Decoding Canonical Segments
Katharina Kann
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Ryan Cotterell
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Hinrich Schütze
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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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Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields
Teemu Ruokolainen
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Oskar Kohonen
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Sami Virpioja
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Mikko Kurimo
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Neural Multi-Source Morphological Reinflection
Katharina Kann
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Ryan Cotterell
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Hinrich Schütze
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Morphological Analysis of the Dravidian Language Family
Arun Kumar
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Ryan Cotterell
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Lluís Padró
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Antoni Oliver
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Labeled Morphological Segmentation with Semi-Markov Models
Ryan Cotterell
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Thomas Müller
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Alexander Fraser
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Hinrich Schütze
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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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A Framework for Automatic Acquisition of Croatian and Serbian Verb Aspect from Corpora
Tanja Samardžić
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Maja Miličević
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A Joint Model of Orthography and Morphological Segmentation
Ryan Cotterell
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Tim Vieira
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Hinrich Schütze
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Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages
Katharina Kann
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Jesus Manuel Mager Hois
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Ivan Vladimir Meza-Ruiz
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Hinrich Schütze
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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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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Generating Sentences by Editing Prototypes
Kelvin Guu
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Tatsunori B. Hashimoto
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Yonatan Oren
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Percy Liang
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Morphological Segmentation Can Improve Syllabification
Garrett Nicolai
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Lei Yao
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Grzegorz Kondrak
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Automatic Glossing in a Low-Resource Setting for Language Documentation
Sarah Moeller
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Mans Hulden
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‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva
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Adam Lopez
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http://users.ics.aalto.fi/
https://github.com/
http://research.ics.aalto.fi/events/
Field Of Study
Task
Tagging
Named Entity Recognition
Information Retrieval
Word Segmentation
Approach
Discriminative Model
Language
English
Arabic
Hebrew
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