Name
Title | ||
|---|---|---|
Sentence Shortening via Morpho-Syntactic Annotated Data in Historical Language Learning. |
Abstract | ||
|---|---|---|
We present an approach to shorten Ancient Greek sentences by using morpho-syntactic information attached to each word in a sentence. This work underpins the content of our eLearning application, AncientGeek, whose unique teaching technique draws from primary Greek sources. By applying a technique that skips the clausal dependents of a main verb, we reached a well-formed rate of 89% of the sentences. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2810040 | JOCCH |
Keywords | Field | DocType |
Primary source text,morpho-syntactic annotation,dependent,part of speech tags | Verb,Computer science,Ancient Greek,Morpho,Language acquisition,Natural language processing,Artificial intelligence,Sentence,Linguistics,Syntax | Journal |
Volume | Issue | ISSN |
9 | 1 | 1556-4673 |
Citations | PageRank | References |
1 | 0.43 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Moritz | 1 | 9 | 2.68 |
| Greta Franzini | 2 | 16 | 7.68 |
| Gregory Crane | 3 | 396 | 55.06 |
| Barbara Pavlek | 4 | 1 | 0.43 |