Abstract
We address the problem of predicting unseen words by relying on the organization of the vocabulary of a language as exhibited by paradigm tables. We present a pipeline to automatically produce paradigm tables from all the words contained in a text. We measure how many unseen words from an unseen test text can be predicted using the paradigm tables obtained from a training text. Experiments are carried out in several languages to compare the morphological richness of languages, and also the richness of the vocabulary of different authors.
| Original language | English |
|---|---|
| Pages (from-to) | 51-60 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1815 |
| Publication status | Published - 2016 |
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Keywords
- Paradigm tables
- Unseen words
- Word predictability
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Morphological predictability of unseen words using computational analogy. / Fam, Rashel; Lepage, Yves.
In: CEUR Workshop Proceedings, Vol. 1815, 2016, p. 51-60.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Morphological predictability of unseen words using computational analogy
AU - Fam, Rashel
AU - Lepage, Yves
PY - 2016
Y1 - 2016
N2 - We address the problem of predicting unseen words by relying on the organization of the vocabulary of a language as exhibited by paradigm tables. We present a pipeline to automatically produce paradigm tables from all the words contained in a text. We measure how many unseen words from an unseen test text can be predicted using the paradigm tables obtained from a training text. Experiments are carried out in several languages to compare the morphological richness of languages, and also the richness of the vocabulary of different authors.
AB - We address the problem of predicting unseen words by relying on the organization of the vocabulary of a language as exhibited by paradigm tables. We present a pipeline to automatically produce paradigm tables from all the words contained in a text. We measure how many unseen words from an unseen test text can be predicted using the paradigm tables obtained from a training text. Experiments are carried out in several languages to compare the morphological richness of languages, and also the richness of the vocabulary of different authors.
KW - Paradigm tables
KW - Unseen words
KW - Word predictability
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UR - http://www.scopus.com/inward/citedby.url?scp=85017371499&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85017371499
VL - 1815
SP - 51
EP - 60
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -