By Stefan Th Gries, Stefanie Wulff, Mark Davies
This quantity presents an outline of 4 presently booming components within the self-discipline of corpus linguistics. the 1st part is worried with reports of the background and improvement of morphological and syntactic phenomena in English, Spanish, and Mandarin chinese language. the second one part comprises case experiences investigating the capabilities and contexts of use of other morphological and syntactic kinds in English, Spanish, Russian, and Mandarin chinese language. The 3rd part comprises experiences within the box of style and sign up from settings as diversified as overall healthiness, name heart, educational, and criminal discourse. the ultimate part positive aspects papers refining present, and exploring new, corpus-linguistic equipment: dispersions, textual content mining, corpus similarity, in addition to the advance of extraction styles and the evaluate of tagging tools.
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Extra resources for Corpus-linguistic applications: Current studies, new directions. (Language & Computers)
Example text
A U 0 M 1,021 E 20 N 0 T 0 E 8,348 For example, Table 1 displays the number of squares found for each cut of the word type aumente. The highest number corresponds correctly to the border between the root aument- and the subjunctive suffix -e. , p n ) = − ∑ in=1 pi log 2 ( pi ) where pi stands for the relative frequency of word fragment i. High entropy measurements of word fragments have been repeatedly reported as representing successful indicators of borders between bases and affixes. For this experiment, the task was to measure information content in the set of all word fragments, occurring with each possible suffix candidate.
2003), “Investigación cuantitativa de afijos y clíticos del español de México: glutinometría en el corpus del español mexicano contemporáneo,” Doctoral dissertation, Centro de Estudios Lingüísticos y Literarios, El Colegio de México, Mexico. , and E. C. Buenrostro Díaz (2003), “Características cuantitativas de la flexión verbal del chuj,” Estudios de lingüística aplicada, 38: 15–31. , and J. Hlaváčová (2005), “Automatic recognition of Czech derivational prefixes,” in: A. ) Computational linguistics and intelligent text.
P n ) = − ∑ in=1 pi log 2 ( pi ) where pi stands for the relative frequency of word fragment i. High entropy measurements of word fragments have been repeatedly reported as representing successful indicators of borders between bases and affixes. For this experiment, the task was to measure information content in the set of all word fragments, occurring with each possible suffix candidate. Thus, given a word-type, with entropy values calculated for each suffix candidate, the morphological border will most probably correspond to the highest entropy value.