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Found 48 results
[ Author(Desc)] Title Type Year
Filters: First Letter Of Title is C  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
L. Ahrenberg, Clause Restructuring in English-Swedish Translation, in Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010, Tartu, Estonia, 2010, pp. 34-43.
A. Airola, Coordinated Verb Pairs in Texts, University of Helsinki, Helsinki, 2007.
A. Arppe, Complex phenomena deserve complex explanations – choosing how to THINK in Finnish, in Quantitative Investigations in Theoretical Linguistics 2 (QITL-2), Osnabrück, Germany, 2006.
L. Aunimo, Kuuskoski, R., and Makkonen, J., Cross-Language Question Answering at the University of Helsinki, in CLEF 2004 Workshop, 2004.
L. Aunimo, Makkonen, J., and Kuuskoski, R., Cross-Language Question Answering for Finnish, in Finnish Artificial Intelligence Conference STeP 2004, Vantaa, Finland, 2004, vol. 2, pp. 35-49.
B
G. Boleda, Bott, S., Meza, R., Castillo, C., Badia, T., and Lopez, V., CUCWeb: a Catalan corpus built from the Web, in 2nd Web as Corpus Workshop held in conjunction with the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, Italy, 2006.
P. Brandt and Fuß, E., A corpus-based analysis of pronoun choice in German relative clauses, Belgian Journal of Linguistics, vol. 31, pp. 194-217, 2017.
C
D. - S. Chang and Choi, K. - S., Causal Relation Extraction Using Cue Phrase and Lexical Pair Probabilities, in Natural Language Processing – IJCNLP 2004, vol. 3248, K. - Y. Su, Tsujii, J. ’ichi, Lee, J. - H., and Kwong, O. Berlin / Heidelberg: Springer, 2005, pp. 61-70.
N. Collier and Takeuchi, K., Comparison of character-level and part of speech features for name recognition in biomedical texts, Journal of Biomedical Informatics, vol. 37, pp. 423–435, 2004.
S. Crossley, A chronotopic approach to genre analysis: An exploratory study, English for Specific Purposes, vol. 26, pp. 4 - 24, 2007.
E
R. Evans, A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It, in Natural Language Processing — NLP 2000, vol. 1835, D. N. Christodoulakis Berlin / Heidelberg: Springer, 2000, pp. 233-240.
A. D. Evans, Lee, K., and Lyon, T. D., Complex Questions Asked by Defense Lawyers But Not Prosecutors Predicts Convictions in Child Abuse Trials, Law & Human Behavior, no. 33, pp. 258-264, 2008.
Y. Even-Zohar and Roth, D., A classification approach to word prediction, in 1st North American chapter of the Association for Computational Linguistics conference, Seattle, Washington, 2000.
I
R. Ion and Mititelu, V. B., Constrained Lexical Attraction Models, in 19th International FLAIRS Conference, Melbourne Beach, Florida, 2006.
L
A. Lampert, Dale, R., and Paris, C., Classifying speech acts using verbal response modes, in Australasian Language Technology Workshop (ALTW2006), Sydney, Australia, 2006.
M. Lloberes and Castellón, I., Consideraciones sobre la naturaleza de los núcleos sintácticos. Hacia una representación sintáctica de dependencias, Anuari de Filologia. Estudis de Lingüística , no. 1, pp. 101-134, 2011.
M
V. B. Mititelu and Ion, R., Cross-Language Transfer Of Syntactic Relations Using Parallel Corpora, in Cross-Language Knowledge Induction Workshop, Eurolan, Cluj-Napoca, Romania, 2005.
R. Mitkov and Hallett, C., Comparing pronoun resolution algorithms, Computational Intelligence, vol. 23, no. 2, pp. 262–297, 2007.
R. Mitkov, Ha, L. A., and Karamanis, N., A computer-aided environment for generating multiple-choice test items, Natural Language Engineering, vol. 12, pp. 177–194, 2006.

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