Download Advances in Natural Language Processing: 5th International by Fred Karlsson (auth.), Tapio Salakoski, Filip Ginter, Sampo PDF

By Fred Karlsson (auth.), Tapio Salakoski, Filip Ginter, Sampo Pyysalo, Tapio Pahikkala (eds.)

This e-book constitutes the refereed court cases of the fifth overseas convention on ordinary Language Processing, FinTAL 2006, held in Turku, Finland in August 2006.

The seventy two revised complete papers provided including 1 invited speak and the prolonged abstracts of two invited keynote addresses have been rigorously reviewed and chosen from one hundred fifty submissions. The papers handle all present concerns in computational linguistics and monolingual and multilingual clever language processing - idea, equipment and applications.

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Extra resources for Advances in Natural Language Processing: 5th International Conference on NLP, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings

Sample text

SYN ¿ ¿ VAL | COMPS S XARG i SEM | HOOK | INDEX i 6 The feature XARG refers to the external argument in control constructions like John tries to run. The XARG of run is thus identified the matrix subject John. See [5] for details. A Computational Implementation of IHRC Constructions 29 This grammar in which lexical information interacts with the other syntactic components ensures that the perception verb saw combines with an NP projected from (11)a whereas the action verb caught with an NP projected from (11)b.

These two genres thus may be seen as forming a continuum between what was unprepared and what was carefully prepared, therefore a measure of different degrees of elaboration. 34% of the total number of sentences in the sub-corpus. 53% in terms of clauses. It is important to note that this general trend can be observed for all of the different types of adverbial clauses. Table 4. 89 It is thus reasonable to suggest that within speech the proportion of adverbial clauses increases as a function of degrees of elaboration, formality, and preparedness.

We first inspected the Sejong Treebank Corpus (33,953 sentences) and identified 4,610 sentences with [S[FORM nun] + kes]. Of these, we inspected the 518 ACC marked examples, but found only 3 IHRC examples. Another 154 examples used kes in a cleft construction, and 361 as direct perception examples. Among these, we selected canonical types of the IHRC constructions to check if the grammar can parse them both in terms of syntax and semantics. 2, the grammar is quite successful in picking up the appropriate semantic head from the IHRC.

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