Quantitative Aspects of Journal of Quantitative Linguistics

References

• Abbe, S. (2000). Word length distribution in arabic letters. Journal of Quantitative Linguistics., 7(2), 121–127.10.1076/0929-6174(200008)07:02;1-Z;FT121
   Google Scholar
• Abramov, O., & Mehler, A. (2011). Automatic language classification by means of syntactic dependency networks. Journal of Quantitative Linguistics., 18(4), 291–336.10.1080/09296174.2011.608602
   Web of Science ®Google Scholar
• Altmann, G. (1999). Review of Michael P. Oakes (1998) ‘Statistics for Corpus Linguistics’. Journal of Quantitative Linguistics, 6(3): 269–270.
   Google Scholar
• Altmann, G. (2013). Aspects of word length. In R. Köhler & G. Altmann (Eds), Issues in Quantitative Linguistics, Vol. 3 (pp. 23–38). Lüdenscheid: RAM-Verlag.
   Google Scholar
• Andreev, S. (2003). Estimation of similarity between poetic texts and their translations by means of discriminant analysis. Journal of Quantitative Linguistics, 10(2), 159–176.10.1076/jqul.10.2.159.16715
   Google Scholar
• Bagavandas, M., Hameed, A., & Manimannan, G. (2009). Neural computation in authorship attribution: The case of selected tamil articles. Journal of Quantitative Linguistics, 16(2), 115–131.10.1080/09296170902734156
   Web of Science ®Google Scholar
• Bagavandas, M., & Manimannan, G. (2008). Style consistency and authorship attribution: A statistical investigation. Journal of Quantitative Linguistics, 15(1), 100–110.10.1080/09296170701803426
   Web of Science ®Google Scholar
• Balasubrahmanyan, V. K., & Naranan, S. (1996). Quantitative linguistics and complex system studies. Journal of Quantitative Linguistics, 3(3), 177–228.10.1080/09296179608599629
   Google Scholar
• Balasubrahmanyan, V. K., & Naranan, S. (2000). Information theory and algorithmic complexity: applications to language discourses and DNA sequences as complex systems part II: Complexity of DNA sequences, analogy with linguistic discourses. Journal of Quantitative Linguistics, 7(2), 153–183.10.1076/0929-6174(200008)07:02;1-Z;FT153
   Google Scholar
• Barbaro, S. (2000). Word length distribution in italian letters by Pier Paolo Pasolini. Journal of Quantitative Linguistics, 7(2), 115–120.10.1076/0929-6174(200008)07:02;1-Z;FT115
   Google Scholar
• Becker, C. (1996). Word lengths in the letters of the Chilean author Gabriela Mistral. Journal of Quantitative Linguistics, 3(2), 128–131.10.1080/09296179608599622
   Google Scholar
• Beliaeva, L. (2003). Machine translation versus dictionary and text structure. Journal of Quantitative Linguistics, 10(2), 193–211.10.1076/jqul.10.2.193.16711
   Google Scholar
• Best, K. H. (1996). Word length in old Icelandic songs and prose texts. Journal of Quantitative Linguistics, 3(2), 97–105.10.1080/09296179608599619
   Google Scholar
• Best, K. H. (2001a). Häufigkeitsverteilungen in Texten [Frequency Distributions in Texts] Göttingen: Peust & Gutschmidt.
   Google Scholar
• Best, K. H. (2001b). Probability distributions of language entities. Journal of Quantitative Linguistics, 8(1), 1–11.10.1076/jqul.8.1.1.4091
   Google Scholar
• Breiter, M. A. (1994). Length of chinese words in relation to their other systemic features. Journal of Quantitative Linguistics, 1(3), 224–231.10.1080/09296179408590020
   Google Scholar
• Čech, R., Pajas, P., & Mačutek, J. (2010). Full valency. verb valency without distinguishing complements and adjuncts. Journal of Quantitative Linguistics, 17(4), 291–302.10.1080/09296174.2010.512162
   Web of Science ®Google Scholar
• Chen, Q., Guo, J., & Liu, Y. (2012). A statistical study on chinese word and character usage in literatures from the Tang Dynasty to the present. Journal of Quantitative Linguistics, 19(3), 232–248.10.1080/09296174.2012.685305
   Web of Science ®Google Scholar
• Corominas-Murtra, B., Valverde, S., & Solé, R. (2009). The ontogeny of scale-free syntax networks: phase transitions in early language acquisition. Advances in Complex Systems, 12(03), 371–392.10.1142/S0219525909002192
   Google Scholar
• Cortina-Borja, M., Stuart-Smith, J., & Valiñas-Coalla, L. (2002). Multivariate classification methods for lexical and phonological dissimilarities and their application to the Uto-Aztecan Family. Journal of Quantitative Linguistics, 9(2), 97–124.10.1076/jqul.9.2.97.8485
   Google Scholar
• Covington, M. A., & McFall, J. D. (2010). Cutting the Gordian knot: The moving-average type-token ratio (MATTR). Journal of Quantitative Linguistics, 17(2), 94–100.10.1080/09296171003643098
   Web of Science ®Google Scholar
• Dittrich, H. (1996). Word length frequency in the letters of G.E. Lessing. Journal of Quantitative Linguistics, 3(3), 260–264.10.1080/09296179608599633
   Google Scholar
• Eger, S. (2013). A contribution to the theory of word length distribution based on a stochastic word length distribution model. Journal of Quantitative Linguistics, 20(3), 252–265.10.1080/09296174.2013.799910
   Web of Science ®Google Scholar
• Ferrer-i-Cancho, R., Capocci, A., & Caldarelli, G. (2007). Spectral methods cluster words of the same class in a syntactic dependency network. International Journal of Bifurcation & Chaos in Applied Sciences & Engineering, 17(7), 2453–2463.
   Web of Science ®Google Scholar
• Forster, P., Toth, A., & Bandelt, H. J. (1998). Evolutionary network analysis of word lists: Visualising the relationships between alpine romance languages. Journal of Quantitative Linguistics, 5(3), 174–187.10.1080/09296179808590125
   Google Scholar
• Grabchak, M., Zhang, Z., & Zhang, D. T. (2013). Authorship attribution using entropy. Journal of Quantitative Linguistics, 20(4), 301–313.10.1080/09296174.2013.830551
   Web of Science ®Google Scholar
• Grzybek, P. (Ed) (2007). Contributions to the Science of Text and Language: Word Length Studies and Related Issues. Dordrecht: Springer.
   Google Scholar
• Grzybek, P., & Stadlober, E. (2002). Project report: the graz project on word length (Frequencies). Journal of Quantitative Linguistics, 9(2), 187–192.10.1076/jqul.9.2.187.8486
   Google Scholar
• Habert, B. (2000). Review of Graeme Kennedy ‘An Introduction to Corpus Linguistics (1999). Journal of Quantitative Linguistics, 7(3), 245–250.
   Google Scholar
• Hatzigeorgiu, N., Mikros, G., & Carayannis, G. (2001). Word length, word frequencies and Zipf’s law in the Greek language. Journal of Quantitative Linguistics, 8(3), 175–185.10.1076/jqul.8.3.175.4096
   Google Scholar
• Hiro, K., Wu, H., & Furugori, T. (1996). Word‐sense disambiguation with a corpus‐based semantic network. Journal of Quantitative Linguistics, 3(3), 244–251.10.1080/09296179608599631
   Google Scholar
• Ke, J., & Yao, Y. (2008). Analysing language development from a network approach. Journal of Quantitative Linguistics, 15(1), 70–99.10.1080/09296170701794286
   Web of Science ®Google Scholar
• Kelih, E. (2012). Systematic interrelations between grapheme frequencies and word length: empirical evidence from slovene. Journal of Quantitative Linguistics, 19(3), 205–231.10.1080/09296174.2012.685304
   Web of Science ®Google Scholar
• Köhler, R. (2005). Synergetic linguistics. In R. Köhler (Ed.), Quantitative Linguistik. Ein internationales Handbuch. Quantitative Linguistics. An International Handbook (pp. 760–774). Berlin, New York: de Gruyter.
   Google Scholar
• Köhler, R. (1986). Zur linguistischen Synergetik. Struktur und Dynamik der Lexik, [ For linguistic synergetics. Structure and dynamics of lexis.] Bochum: Brockmeyer.
   Google Scholar
• Köhler, R. (1999). Syntactic structures: properties and interrelations. Journal of Quantitative Linguistics, 6(1), 46–57.10.1076/jqul.6.1.46.4137
   Google Scholar
• Köhler, R. (2012). Quantitative Syntax Analysis. Berlin, New York: de Gruyter.10.1515/9783110272925
   Google Scholar
• Köhler, R., & Altmann, G. (2000). Probability distributions of syntactic units and properties. Journal of Quantitative Linguistics, 7(3), 189–200.10.1076/jqul.7.3.189.4114
   Google Scholar
• Köhler, R., & Altmann, G. (2004). Quantitative linguistics as a scientific discipline. In P. Mohanty & R. Köhler (Eds), Readings in Quantitative Linguistics (pp. 1–32). Delhi: Indian Institute of Language Studies.
   Google Scholar
• Krott, A. (1999). Influence of morpheme polysemy on morpheme frequency. Journal of Quantitative Linguistics, 6(1), 58–65.10.1076/jqul.6.1.58.4144
   Google Scholar
• Krylov, J. K. (2002). Synergetic models and methods in quantitative linguistics. Journal of Quantitative Linguistics, 9(2), 125–185.10.1076/jqul.9.2.125.8487
   Google Scholar
• Kubát, M., & Milička, J. (2013). Vocabulary richness measure in genres. Journal of Quantitative Linguistics, 20(4), 339–349.10.1080/09296174.2013.830552
   Web of Science ®Google Scholar
• Labbé, D. (2007). Experiments on authorship attribution by intertextual distance in english. Journal of Quantitative Linguistics, 14(1), 33–80.10.1080/09296170600850601
   Web of Science ®Google Scholar
• Li, W. (2013). Characterizing ranked chinese syllable-to-character mapping spectrum: a bridge between the spoken and written Chinese language. Journal of Quantitative Linguistics, 20(2), 153–167.10.1080/09296174.2013.773140
   Web of Science ®Google Scholar
• Liu, H. (2007). Probability distribution of dependency distance. Glottometrics, 15, 1–12.
   Google Scholar
• Liu, H. (2008). The complexity of Chinese syntactic dependency networks. Physica A: Statistical Mechanics and its Applications, 387(12), 3048–3058.10.1016/j.physa.2008.01.069
   Web of Science ®Google Scholar
• Liu, H. (2009). Probability Distribution of dependencies based on a chinese dependency treebank. Journal of Quantitative Linguistics, 16(3), 256–273.10.1080/09296170902975742
   Web of Science ®Google Scholar
• Liu, H. (2010). Dependency direction as a means of word-order typology: A method based on dependency treebanks. Lingua, 120, 1567–1578.10.1016/j.lingua.2009.10.001
   Web of Science ®Google Scholar
• Liu, H. (2011). Quantitative properties of English verb valency. Journal of Quantitative Linguistics, 18(3), 207–233.10.1080/09296174.2011.581849
   Web of Science ®Google Scholar
• Liu, H., & Hu, F. (2008). What role does syntax play in a language network? EPL (Europhysics Letters), 83(1), 18002 1–6.10.1209/0295-5075/83/18002
   Web of Science ®Google Scholar
• Maragoudakis, M., Kermanidis, K., Tasikas, A., Fakotakis, N., & Kokkinakis, G. (2005). Bayesian induction of verb sub-categorization frames in imbalanced heterogeneous data. Journal of Quantitative Linguistics, 12(2–3), 185–211.10.1080/09296170500172486
   Google Scholar
• Meyer, P. (1999). Relating word length to morphemic structure: a morphologically motivated class of discrete probability distributions. Journal of Quantitative Linguistics, 6(1), 66–69.10.1076/jqul.6.1.66.4143
   Google Scholar
• Ming, D., Liu, J., & Tian, J. (2002). The design and implementation of a Chinese financial invoice recognition system. Journal of Quantitative Linguistics, 9(1), 19–33.10.1076/jqul.9.1.19.8484
   Google Scholar
• Mukherjee, A., Choudhury, M., Basu, A., & Ganguly, N. (2009). Self-organization of the sound inventories: Analysis and synthesis of the occurrence and co-occurrence networks of consonants. Journal of Quantitative Linguistics, 16(2), 157–184.10.1080/09296170902734222
   Web of Science ®Google Scholar
• Murthy, K. N., & Kumar, G. B. (2006). Language identification from small text samples. Journal of Quantitative Linguistics, 13(1), 57–80.10.1080/09296170500500694
   Google Scholar
• Naranan, S., & Balasubrahmanyan, V. K. (2000). Information theory and algorithmic complexity: applications to linguistic discourses and DNA sequences as complex systems part I: Efficiency of the genetic code of DNA. Journal of Quantitative Linguistics, 7(2), 129–151.10.1076/0929-6174(200008)07:02;1-Z;FT129
   Google Scholar
• Pande, H., & Dhami, H. S. (2012). Model generation for word length frequencies in texts with the application of Zipf’s order approach. Journal of Quantitative Linguistics, 19(4), 249–261.10.1080/09296174.2012.714531
   Web of Science ®Google Scholar
• Pavlyshenko, B. (2013). Classification analysis of authorship fiction texts in the space of semantic fields. Journal of Quantitative Linguistics, 20(3), 218–226.10.1080/09296174.2013.799914
   Web of Science ®Google Scholar
• Peng, G., Minett, J. W., & Wang, W. S. Y. (2008). The networks of syllables and characters in Chinese. Journal of Quantitative Linguistics, 15(3), 243–255.10.1080/09296170802159488
   Web of Science ®Google Scholar
• Popescu, I.-I., Altmann, G., & Čech, R. (2011). The Lambda-structure of text. Lüdenscheid: RAM-Verlag.
   Google Scholar
• Popescu, I.-I., Mačutek, J., & Altmann, G. (2009a). Word Frequency Studies. Berlin, New York: Mouton de Gruyter.
   Google Scholar
• Popescu, I.-I., Mačutek, J., & Altmann, G. (2009b). Aspects of Word Frequencies. Lüdenscheid: RAM-Verlag.
   Google Scholar
• Qiao, W., Sun, M., & Menzel, W. (2010). Chinese Word Frequency Approximation Based on Multitype Corpora. Journal of Quantitative Linguistics, 17(2), 142–166.10.1080/09296171003643213
   Web of Science ®Google Scholar
• Riedemann, H. (1996). Word-length distribution in English press texts. Journal of Quantitative Linguistics, 3(3), 265–271.10.1080/09296179608599634
   Google Scholar
• Romanov, Y., Zaytseva, N., Zelko, V., Romanov, A., Tovmach, Y., Anikina, N., Chaplia, A., …, Putin, V. (2003). Artificial intelligence and machine translation in the XXIst century. Journal of Quantitative Linguistics, 10(3), 215–238.10.1080/09296170512331383575
   Google Scholar
• Röttger, W. (1996). Distribution of word length in Ciceronian letters. Journal of Quantitative Linguistics, 3(1), 68–72.10.1080/09296179608590064
   Google Scholar
• Sanada-Yogo, H. (1999). Analysis of Japanese vocabulary by the theory of synergetic linguistics. Journal of Quantitative Linguistics, 6(3), 239–251.10.1076/jqul.6.3.239.6161
   Google Scholar
• Shi, D., Damper, R. I., & Gunn, S. R. (2003). An approach to off-line handwritten chinese character recognition based on hierarchical radical decomposition. Journal of Quantitative Linguistics, 10(1), 41–69.10.1076/jqul.10.1.41.16549
   Google Scholar
• Smith, P. W. H., & Aldridge, W. (2011). Improving authorship attribution: Optimizing Burrows’ delta method. Journal of Quantitative Linguistics, 18(1), 63–88.10.1080/09296174.2011.533591
   Web of Science ®Google Scholar
• Steiner, P. (1995). Effects of polylexy on compounding. Journal of Quantitative Linguistics, 2(2), 133–140.10.1080/09296179508590042
   Google Scholar
• Takakura, S., Han, D., & Furugori, T. (2005). Recognition and utilization of clausal relations in complex sentences for improving the performance of machine translation systems. Journal of Quantitative Linguistics, 12(2–3), 239–261.10.1080/09296170500055376
   Google Scholar
• Uhlířová, L. (1997). Length vs. order: Word length and clause length from the perspective of word order. Journal of Quantitative Linguistics, 4(1–3), 266–275.10.1080/09296179708590103
   Google Scholar
• Uhlířová, L. (1999). Word length modelling: Intertextuality as a relevant factor? Journal of Quantitative Linguistics, 6(3), 252–256.10.1076/jqul.6.3.252.6165
   Google Scholar
• Vincze, V. (2013). Domain differences in the distribution of parts of speech and dependency relations in Hungarian. Journal of Quantitative Linguistics, 20(4), 314–338.10.1080/09296174.2013.830553
   Web of Science ®Google Scholar
• Vulanović, R. (2010). Word order, marking, and a two-dimensional classification of parts-of-speech system types. Journal of Quantitative Linguistics, 17(3), 229–252.10.1080/09296174.2010.485450
   Web of Science ®Google Scholar
• Wimmer, G., & Altmann, G. (1996). The theory of word length: Some results and generalizations. Glottometrika (Vol. 15, pp. 112–133). Trier: Wissenschaftlicher Verlag Trier.
   Google Scholar
• Wimmer, G., & Altmann, G. (1999). Review article: On vocabulary richness. Journal of Quantitative Linguistics, 6(1), 1–9.10.1076/jqul.6.1.1.4148
   Google Scholar
• Wimmer, G., Köhler, R., Grotjahn, R., & Altmann, G. (1994). Towards a theory of word length distribution. Journal of Quantitative Linguistics, 1(1), 98–106.10.1080/09296179408590003
   Google Scholar
• Wimmer, G., Witkovský, V., & Altmann, G. (1999). Modification of probability distributions applied to word length research. Journal of Quantitative Linguistics, 6(3), 257–268.
   Google Scholar
• Xiao, R. (2013). Review of McEnery and Hardie (2012) ‘Corpus Linguistics: Method, Theory and Practice’ Corpus Linguistics and Linguistic Theory, 9(2), 293–303.
   Web of Science ®Google Scholar
• Yue, M., & Liu, H. (2011). Probability distribution of discourse relations based on a Chinese RST-annotated corpus. Journal of Quantitative Linguistics, 18(2), 107–121.10.1080/09296174.2011.556002
   Web of Science ®Google Scholar
• Zhang, Y. (2011). Similarity and degree of perplexity analysis of Chinese Characters. Journal of Quantitative Linguistics, 18(3), 189–206.10.1080/09296174.2011.581848
   Web of Science ®Google Scholar
• Ziegler, A. (1998). Word Length in Portuguese text. Journal of Quantitative Linguistics, 5(1–2), 115–120.10.1080/09296179808590117
   Google Scholar
• Ziegler, A. (2000). Word length in romance languages. A complemental contribution. Journal of Quantitative Linguistics, 7(1), 65–68.10.1076/0929-6174(200004)07:01;1-3;FT065
   Google Scholar
• Zipf, G. K. (1935). The Psycho-biology of Language. Boston, MA: Houghton Mifflin.
   Google Scholar
• Zuse, M. (1996). Distribution of word length in early modern English letters of Sir Philip Sidney. Journal of Quantitative Linguistics, 3(3), 272–276.10.1080/09296179608599635
   Google Scholar