Quantitative computational syntax: some initial results
In the computational study of human intelligence, the language sciences are in the unique position of resting both on sophisticated theories and representations and on large amounts of observational data available for many languages. In this paper, we discuss some recent results, where large-scale,...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2016-06-01
|
| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/347 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850165944920309760 |
|---|---|
| author | Paola Merlo |
| author_facet | Paola Merlo |
| author_sort | Paola Merlo |
| collection | DOAJ |
| description | In the computational study of human intelligence, the language sciences are in the unique position of resting both on sophisticated theories and representations and on large amounts of observational data available for many languages. In this paper, we discuss some recent results, where large-scale, data-intensive computational modelling techniques are used to address fundamental linguistic questions on the quantitative properties of abstract grammatical representations. Specifically, we present a programme of research exemplified in three case studies to identify the causes of frequency differentials. In the area of word order, we discuss work that investigates whether typological and corpus frequencies are systematically correlated to abstract syntactic structures and to higher-level structural principles of minimisation and efficiency. In the area of verb meaning, corpus-based computational models are discussed that investigate how frequencies are correlated to well-known lexical effects in causative alternations and morphological marking. The large corpus-based, cross-linguistic component of the work and the abstract grammatical hypotheses on word order and verb meaning provide new empirical and computational evidence to the important debate on language variation, its extent and its limits and illustrate how to bring corpus-based computational methodology to bear on theoretical syntactic issues. In so doing, we help reduce the current gap between theoretical and computational linguistics. |
| format | Article |
| id | doaj-art-3f60a88ef89543dc9df776bf21bf0e8b |
| institution | OA Journals |
| issn | 2499-4553 |
| language | English |
| publishDate | 2016-06-01 |
| publisher | Accademia University Press |
| record_format | Article |
| series | IJCoL |
| spelling | doaj-art-3f60a88ef89543dc9df776bf21bf0e8b2025-08-20T02:21:35ZengAccademia University PressIJCoL2499-45532016-06-012110.4000/ijcol.347Quantitative computational syntax: some initial resultsPaola MerloIn the computational study of human intelligence, the language sciences are in the unique position of resting both on sophisticated theories and representations and on large amounts of observational data available for many languages. In this paper, we discuss some recent results, where large-scale, data-intensive computational modelling techniques are used to address fundamental linguistic questions on the quantitative properties of abstract grammatical representations. Specifically, we present a programme of research exemplified in three case studies to identify the causes of frequency differentials. In the area of word order, we discuss work that investigates whether typological and corpus frequencies are systematically correlated to abstract syntactic structures and to higher-level structural principles of minimisation and efficiency. In the area of verb meaning, corpus-based computational models are discussed that investigate how frequencies are correlated to well-known lexical effects in causative alternations and morphological marking. The large corpus-based, cross-linguistic component of the work and the abstract grammatical hypotheses on word order and verb meaning provide new empirical and computational evidence to the important debate on language variation, its extent and its limits and illustrate how to bring corpus-based computational methodology to bear on theoretical syntactic issues. In so doing, we help reduce the current gap between theoretical and computational linguistics.https://journals.openedition.org/ijcol/347 |
| spellingShingle | Paola Merlo Quantitative computational syntax: some initial results IJCoL |
| title | Quantitative computational syntax: some initial results |
| title_full | Quantitative computational syntax: some initial results |
| title_fullStr | Quantitative computational syntax: some initial results |
| title_full_unstemmed | Quantitative computational syntax: some initial results |
| title_short | Quantitative computational syntax: some initial results |
| title_sort | quantitative computational syntax some initial results |
| url | https://journals.openedition.org/ijcol/347 |
| work_keys_str_mv | AT paolamerlo quantitativecomputationalsyntaxsomeinitialresults |