| Antal van den Bosch, Walter Daelemans, and Ton Weijters. Morphological analysis as classification: an inductive learning approach. In Kemal Oflazer and Harold Somers, editors, Proceedings of Nemlap-2, pages 79--89, Ankara, Sep. 1996. |
.... searched for correspondences between morphologically similar words with differing syntactic categories [11] Constrastive studies on large word lists have also been performed to identify the most frequent suffixes of a language [17] Machine learning algorithms have been applied to morphology too [18]. Tools to study morphological variants among terms of multiple vocabularies have also been designed when building the UMLS [10] Whereas most of these methods work with classical string operations, linguistically more elaborate models have also been used, such as two level morphology [19] to ....
van den Bosch A, Daelemans W, and Weijters T. Morphological analysis as classification: an inductive-learning approach. In: Tsujii JI, ed, Proc 16 th COLING, Copenhagen, Denmark. 5-- 9 August 1996.
....sale la tranche the word sale can be classified as a verb (English: to salt) or as an adjective (English: dirty) la can be an article (English: the) or a pronoun (English: she her) and tranche can be a verb (English: to chop) or a noun (English: slice) 4 This view is of course ot new. e.g. in [BDW96] morphological analysis (i.e. morphological classification) is defined as a decomposition task. 2 French: Le boucher) sale (la tranche) English: The butcher salts the slice 3 French: Le boucher sale) la) tranche English: The dirty butcher chops her If the sentence is decomposed according ....
....of creativity, an appropriate degree of abstraction and an appropriate degree of decomposition is required. What degree of creativity a user desires essentially depends on the variety of text types to be translated (i.e. the required coverage of the system) 9 This is supported by the findings in [BDW96] the more abstraction is performed by a system (degree of eagerness) the worse the generalization performance will be. Figure 6 English Phrase Descriptor of the sentence: The big man eats a green apple WD: WDThe WD big WDman WDeats WDa WDgreen WDapple LMA: the big man eats a green apple ....
Antal van den Bosch, Walter Daelemans, and Ton Weijters. Morphological Analysis as Classification: an Inductive-Learning Approach. In Proceedings of NeMLaP, Ankara, 1996.
....new examples, they simply calculate a weighted sum of input features (linear combination) and outputs 0 if the result is below the threshold, and 1 otherwise. Wrongly predicted training examples make the weights of the model change, in a multiplicative way, to better fit the training set. 9 [55, 14, 56, 15], PoS tagging [61, 60, 90] PP attachment disambiguation [246] shallow parsing [227] and smoothing of probability estimates [245] The work of other authors include applications to partial parsing (chunking) and context sensitive parsing [210, 7, 33] WSD [159, 157, 84, 73] text ....
....and, finally, LogL stands for Log linear Models. Table 1 contains information about low level NLP tasks, such as speech processing, morphology and PoS tagging. NB DTs HMMs ME TBL NNs Speech recognition and synthesis [8, 9] 97] 187] 55, 56, 15] 206, 121, 155, 113, 229] Morphology [14] PoS tagging [194, 189] 200, 132, 140, 141, 164, 136, 138, 137] 45, 54, 144] 101, 177] 21, 22, 23, 6, 186] 155, 201, 70, 199, 131] IBL LSM EC PoS tagging [61, 60, 90, 58] 188] 90, 24, 139, 2, 136] Table 1: References corresponding to some low level NLP tasks Table 2 ....
A. van den Bosch, W. Daelemans, and T. Weijters. Morphological Analysis as Classification: an Inductive--Learning Approach. In Proceedings of the 2nd NeMLaP, 1996. cmp-lg/9607021.
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Antal van den Bosch, Walter Daelemans, and Ton Weijters. Morphological analysis as classification: an inductive learning approach. In Kemal Oflazer and Harold Somers, editors, Proceedings of Nemlap-2, pages 79--89, Ankara, Sep. 1996.
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