Statistical parsing of morphologically rich languages (SPMRL): what, how and whither

The term Morphologically Rich Languages (MRLs) refers to languages in which significant information concerning syntactic units and relations is expressed at word-level. There is ample evidence that the application of readily available statistical parsing models to such languages is susceptible to serious performance degradation. The first workshop on statistical parsing of MRLs hosts a variety of contributions which show that despite language-specific idiosyncrasies, the problems associated with parsing MRLs cut across languages and parsing frameworks. In this paper we review the current state-of-affairs with respect to parsing MRLs and point out central challenges. We synthesize the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages. The overarching analysis suggests itself as a source of directions for future investigations

Cognitive and linguistic factors affecting subject/object asymmetry: An eye-tracking study of prenominal relative clauses in Korean

Object relatives (ORs) have been reported to cause heavier processing loads than subject relatives (SRs) in both pre- and postnominal position (prenominal relatives: Miyamoto & Nakamura 2003, Kwon 2008, Ueno & Garnsey 2008; postnominal relatives: King & Just 1991, King & Kutas 1995, Traxler et al. 2002). In this article, we report the results of two eye-tracking studies of Korean prenominal relative clauses that confirm a processing advantage for subject relatives both with and without supporting context. These results are shown to be compatible with accounts involving the accessibility hierarchy (Keenan & Comrie 1977), phrase-structural complexity (O’Grady 1997), and probabilistic structural disambiguation (Mitchell et al. 1995, Hale 2006), partially compatible with similarity-based interference (Gordon et al. 2001), but incompatible with linear/temporal analyses of filler-gap dependencies (Gibson 1998, 2000, Lewis & Vasishth 2005, Lewis et al. 2006).Linguistic

Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages

This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the evaluation metrics for parsing MRLs given different representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios

Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages

International audienceThis paper reports on the first shared task on statistical parsing of morphologically rich lan- guages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the eval- uation metrics for parsing MRLs given dif- ferent representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios

Subject/object processing asymmetries in Korean relative clauses: Evidence from ERP data

Subject relative (SR) clauses have a reliable processing advantage in VO languages like English in which relative clauses (RCs) follow the head noun. The question is whether this is also routinely true in OV languages like Japanese and Korean, in which RCs precede the head noun. We conducted an event-related brain potential (ERP) study of Korean RCs to test whether the SR advantage manifests in brain responses, and to tease apart the typological factors that might contribute to these responses. Our results suggest that brain responses to RCs are remarkably similar in VO and OV languages. Our results also suggest that the marking of the right edge of the RC in Chinese (Yang et al. 2010) and Korean and the absence of such marking in Japanese (Ueno & Garnsey 2008) affect the response to the following head noun. The consistent SR advantage found in ERP studies lends further support to a universal subject preference in the processing of relative clauses.Linguistic

Cognitive and linguistic factors affecting subject/object asymmetry: An eye-tracking study of prenominal relative clauses in Korean

: Object relatives (ORs) have been reported to cause heavier processing loads than subject relatives (SRs) in both pre- and postnominal position (prenominal relatives: Miyamoto & Nakamura 2003, Kwon 2008, Ueno & Garnsey 2008; postnominal relatives: King & Just 1991, King & Kutas 1995, Traxler et al. 2002). In this article, we report the results of two eye-tracking studies of Korean prenominal relative clauses that confirm a processing advantage for subject relatives both with and without supporting context. These results are shown to be compatible with accounts involving the accessibility hierarchy (Keenan & Comrie 1977), phrase-structural complexity (O’Grady 1997), and probabilistic structural disambiguation (Mitchell et al. 1995, Hale 2006), partially compatible with similarity-based interference (Gordon et al. 2001), but incompatible with linear/temporal analyses of filler-gap dependencies (Gibson 1998, 2000, Lewis & Vasishth 2005, Lewis et al. 2006)