Readings
If links through the IU Library to journals don't work, try this link to the
generic online journals page.
Swahili
[HTML]
Erickson, H. L. and Gustafsson, M. (1989).
Kiswahili grammar notes.
Available through the
Kamusi Project.
Morphology
[PDF]
Clark, A. (2002).
Memory-based learning of morphology with stochastic transducers.
Annual Meeting of the Association for Computational Linguistics,
40,
513-520.
[PDF]
Clark, A. (2001).
Learning morphology with Pair Hidden Markov Models.
Student Workshop, Annual Meeting of the Association for Computational Linguistics,
39,
55-60.
[PDF]
Cohen-Sygal, Y., Wintner, S. (2006).
Finite-state registered automata for non-concatenative morphology.
Computational Linguistics,
32,
49-82.
[PDF]
Goldsmith, J. (2001).
Unsupervised learning of the morphology of a natural language.
Computational Linguistics,
27,
153-198.
[PDF]
Mohri, M. (2005).
Statistical natural language processing.
In M. Lothaire (Ed.),
Applied combinatorics on words.
Cambridge University Press.
[PDF]
Mohri, M., Pereira, F. C. N., and Riley, M. (1996).
Weighted automata in text and speech processing.
Biennial European Conference on Artificial Intelligence,
12.
[PDF]
Amtrup, J. W. (2003).
Morphology in machine translation systems:
Efficient integration of finite state transducers
and feature structure descriptions.
Machine translation,
18, 213-235.
Words in context
[PDF]
McCarthy, D., Koeling, R., Weeds, J. and Carroll, J. (2007).
Unsupervised acquisition of predominant word senses.
Computational Linguistics,
33,
553-590.
[PDF]
Padó, S. and Lapata, M. (2007).
Dependency-based construction of semantic space models.
Computational Linguistics,
33,
161-199.
[PDF]
Turney, P. D. (2006).
Similarity of semantic relations.
Computational Linguistics,
32,
379-416.
Syntax and semantics
[PDF]
Gamallo, P., Agustini, A., Lopes, G. P. (2006).
Clustering semantic positions with similar semantic requirements.
Computational Linguistics,
32,
107-146.
[PDF]
Marinov, S. (2007).
Covington variations.
Proceedings of EMNLP-CoNLL 2007.
[PDF]
Gildea, D. and Jurafsky, D. (2002).
Automatic labeling of semantic roles.
Computational Linguistics,
28,
245-288.
[PDF]
McDonald, R. and Nivre, J. (2007).
Characterizing the errors of data-driven dependency parsing models.
Proceedings of EMNLP-CoNLL 2007.
[PDF]
McDonald, R. and Pereira, F. (2006).
Online learning of approximate dependency parsing algorithms.
Conference of the European Chapter of the Association for Computational Linguistics,
11,
81-88.
[PDF]
Oflazer, K. (2003).
Dependency parsing with an extended finite-state approach.
Computational Linguistics,
29,
515-544.
Disambiguation
[PDF]
Lapata, M. and Brew, C. (2004).
Verb class disambiguation using informative priors.
Computational Linguistics,
30,
45-73.
[PDF]
Stevenson, M. and Wilks, Y. (2001).
The interaction of knowledge sources in word sense disambiguation.
Computational Linguistics,
27,
321-349.
Machine translation
[PDF]
Alshawi, H., Douglas, S. and Bangalore, S. (2000).
Learning dependency translation models as collections of finite-state head transducers.
Computational Linguistics,
26,
45-60.
[PDF]
Carpuat, M. and Wu, D. (2007).
Improving statistical machine translation using word sense disambiguation.
Proceedings of EMNLP-CoNLL 2007.
[PDF]
Casacuberta, F. and Vidal, E. (2004).
Machine translation with inferred stochastic finite-state transducers.
Computational Linguistics,
30,
205-225.
[PDF]
Chiang, D. (2007).
Hierarchical phrase-based translation.
Computational Linguistics,
33,
201-228.
[PDF]
Huang, F. and Papineni, K. (2007).
Hierarchical system combination for machine translation.
Proceedings of EMNLP-CoNLL 2007.
[PDF]
Kraaij, W., Nie, J-Y., and Simard, M. (2003).
Embedding Web-based statistical translation models in cross-language information retrieval.
Computational Linguistics,
29,
381-419.
[PDF]
Li, H. and Li, C. (2004).
Word translation disambiguation using bilingual bootstrapping.
Computational Linguistics,
30,
1-22.
[PDF]
Mariño, J. B., Banchs, R. E., Crego, J. M., de Gispert, A., Lambert, P., Fonollosa, J. A. R., and Costa-jussá, M. R. (2006).
N-gram based machine translation.
Computational Linguistics,
32,
527-549.
[PDF]
Munteanu, D. S. and Marcu, D. (2006).
Improving machine translation performance by exploiting non-parallel corpora.
Computational Linguistics,
32,
477-504.
[PDF]
Nießen, S. and Ney, H. (2004).
Statistical machine translation with scarce resources using morpho-syntactic information.
Computational Linguistics,
30,
181-204.
[PDF]
Och, F. J. and Ney, H. (2004).
The alignment template approach to statistical machine translation.
Computational Linguistics,
30,
417-449.
[PDF]
Ploux, S. and Ji, H. (2003).
A model for matching semantic maps between languages (French/English, English/French).
Computational Linguistics,
29,
155-178.
Anaphora
[PDF]
Markert, K. and Nissim, M. (2006).
Comparing knowledge sources for nominal anaphora resolution.
Computational Linguistics,
32,
367-402.
[PDF]
Soon, W. M., Ng, H. T. and Lim, D. C. Y. (2001).
A machine learning approach to coreference resolution of noun phrases.
Computational Linguistics,
27,
521-544.
Sentiment analysis
[PDF]
Thomas, M., Pang, B., and Lee, L. (2006).
Get out the vote: determining support or opposition from Congressional floor-debate transcripts.
Proceedings of EMNLP 2006,
30,
327-335.
[PDF]
Wiebe, J., Wilson, T., Bruce, R., Bell, M. and Martin, M. (2004).
Learning subjective language.
Computational Linguistics,
30,
277-308.
