Automatically Identifying Computationally Relevant Typological Features

@inproceedings{Lewis2008AutomaticallyIC,
  title={Automatically Identifying Computationally Relevant Typological Features},
  author={William D. Lewis and Fei Xia},
  booktitle={IJCNLP},
  year={2008}
}
In this paper we explore the potential for identifying computationally relevant typological features from a multilingual corpus of language data built from readily available language data collected off the Web. Our work builds on previous structural projection work, where we extend the work of projection to building individual CFGs for approximately 100 languages. We then use the CFGs to discover the values of typological parameters such as word order, the presence or absence of definite and… CONTINUE READING
Highly Cited
This paper has 43 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
30 Citations
11 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 11 references

The World Atlas of Language Structures

  • Martin Haspelmath, Matthew S. Dryer, David Gil, Bernard Comrie.
  • Oxford University Press, Oxford, England.
  • 2005
Highly Influential
7 Excerpts

Inversion, dislocation and option

  • John Frederick Bailyn
  • 2001
2 Excerpts

Similar Papers

Loading similar papers…