Evaluating and improving morpho-syntactic classification over multiple corpora using pre-trained, "off-the-shelf", parts-of-speech tagging tools

This paper evaluates six commonly available parts-of-speech tagging tools over corpora other than those upon which they were originally trained. In particular this investigation measures the performance of the selected tools over varying styles and genres of text without retraining, under the assumption that domain specific training data is not always available. An investigation is performed to determine whether improved results can be achieved by combining the set of tagging tools into ensembles that use voting schemes to determine the best tag for each word. It is found that while accuracy drops due to non-domain specific training, and tag-mapping between corpora, accuracy remains very high, with the support vector machine-based tagger, and the decision tree-based tagger performing best over different corpora. It is also found that an ensemble containing a support vector machine-based tagger, a probabilistic tagger, a decision-tree based tagger and a rule-based tagger produces the largest increase in accuracy and the largest reduction in error across different corpora, using the Precision-Recall voting scheme.

Evaluating and improving morpho-syntactic classification over multiple corpora using pre-trained, “off-the-shelf”, parts-of-speech tagging tools

his paper evaluates six commonly available parts-of-speech tagging tools over corpora other than those upon which they were originally trained. In particular this investigation measures the performance of the selected tools over varying styles and genres of text without retraining, under the assumption that domain specific training data is not always available. An investigation is performed to determine whether improved results can be achieved by combining the set of tagging tools into ensembles that use voting schemes to determine the best tag for each word. It is found that while accuracy drops due to non-domain specific training, and tag-mapping between corpora, accuracy remains very high, with the support vector machine-based tagger, and the decision tree-based tagger performing best over different corpora. It is also found that an ensemble containing a support vector machine-based tagger, a probabilistic tagger, a decision-tree based tagger and a rule-based tagger produces the largest increase in accuracy and the largest reduction in error across different corpora, using the Precision-Recall voting scheme.

The syntactic priority thesis and ontological disputes

The article focuses on the neo-Fregean's claim that syntactic priority thesis (SP) can constitute a decision-procedure in relation to substantive ontological disputes. It examines alternative interpretations of SP and demonstrates why SP cannot settle disputes about the existence of numbers or deliver on the stronger meta-ontological claims made on behalf it. Problems associated with the attempt to establish ontological theses through logical and linguistic analysis are tackled.

A syntactic two-component encoding model for the trajectories of human actions

Human actions have been widely studied for their potential application in various areas such as sports, pervasive patient monitoring, and rehabilitation. However, challenges still persist pertaining to determining the most useful ways to describe human actions at the sensor, then limb and complete action levels of representation and deriving important relations between these levels each involving their own atomic components. In this paper, we report on a motion encoder developed for the sensor level based on the need to distinguish between the shape of the sensor's trajectory and its temporal characteristics during execution. This distinction is critical as it provides a different encoding scheme than the usual velocity and acceleration measures which confound these two attributes of any motion. At the same time, we eliminate noise from sensors by comparing temporal and spatial indexing schemes and a number of optimal filtering models for robust encoding. Results demonstrate the benefits of spatial indexing and separating the shape and dynamics of a motion, as well as its ability to decompose complex motions into several atomic ones. Finally, we discuss how this specific type of sensor encoder bears on the derivation of limb and complete action descriptions.

Lexical and syntactic transfer in writing: a pilot study of two Chilean learners of EFL

Transfer is crucial during the learning and acquisition of a Second Language (L2) and can affect learners' production and reception at all stages of learning. The ·process of transfer can be explained as the use of structures or lexical items which are concurrent with or deviant from the target language, but which are in fact copies of structures or lexical items from the learner's First Language (L1) (Larranaga, Treffers-Daller, Tidball & Ortega, 2011). Transfer is a common occurrence and as such, it' is crucial to acknowledge its use and utility by learners during the process of second language learning and acquisition. Transfer is not always negative; structures and lexical items from a learner's L1 may transfer into their L2 with accuracy and naturalness. This may be particularly the case where a learner is acquiring a language which is cognate with their L1 and as such has a high degree of reciprocity or overlap. However, even cognate languages contain distinctive structures and words which L2 learners must identify as reciprocal or non-reciprocal in order to improve their writing by avoiding negative transfer. Transfer often occurs via translation, particularly for lexical items. Adult L2 learners rely on L1 translation particularly for lexical processing and production; learners' knowledge of L1 informs their use of L2 vocabulary to varying degrees depending on their proficiency (Jiang, 2004).

The effect of focus on form in the written work of adult learners of Arabic

One of the key debates within SLA research circles concerns grammar
- whether and hov to include it in second language (L2) instruction. 'Noninterventionist' approaches to language leaching, which centre on focus on meaning (FonM) , have been found to be neither economical nor expedient in terms of use of learners' classtime (Long & Robinson, 1998). This paper is a study of the effects oj direct grammatical instruction within a communicative context (Focus on Form - FonF) on the accuracy rate of the use of noun-adjective agreement in the written work of adult learners of Arabic. Learning the systems oj noun/adjective agreement in Arabic presents problems for beginners since. unlike languages such as English. Arabic needs to be modified for gender, number. definiteness and case. Through teaching material and methods, first-year university English speaking students of Arabic were directly exposed to morpho-syntactic inflections relevant to noun-adjective agreement. In post-tests over an extended period. instructed students showed a higher accuracy rate of some forms than their uninstructed colleagues. suggesting focusing on form is beneficial to the Arabic learner and does not need to interrupt the communicative flow in the classroom (Ellis et al. 2001).

Physical theory of organisation and consequent neural model of spatio-temporal pattern acquisition

A neurone model (the FORMON) is proposed which provides a mathematical explanation for a range of psychological phenomena and has potential in Artificial Intelligence applications. A general definition of organisation in terms of entropy and information is formulated. The concept of microcodes is introduced to describe the physical nature of organisation. Spatio-temporal pattern acquisition and processing functions attributable to individual neurones are reviewed. The criterion for self-organisation in a neurone is determined as the maximisation of mutual organisation. A feedback control system is proposed to satisfy this criterion and provide an integrated long-term memory of spatio-temporal pattern. This pattern acquisition system is shown to be applicable to dendritic pattern recognition and axonal pattern generation. Provision is also made for adaptation, short-term memory and operant learning. An electro-chemical model of transmission and processing of neural signals is outlined to provide the pattern acquisition functions of the Formon model. A transverse magnetic mode of electrotonic propagation is postulated in addition to the transverse electromagnetic mode. Configurations of the Formon are categorised in terms of possible pattern processing functions. Connective architectures are proposed as self-organising models of acquisitive semantic and syntactic networks.

Grammatical structures in code-switching among second generation Chinese-Australian students

This paper is based on an analysis of audio-recordings of interviews conducted at three primary schools in Victoria. The syntactic convergence or transference, which accompanies switching takes place at three levels: typological, structural and classificatory. The matrix Language Frame Model (Myers-Scotton 1993b, 1997a), revised to include the Composite Matrix Language (Bolonyai 1998), successfully deals with all forms of switching in my corpus. However, it is highly doubtful if grammatical constraints (Clyne 1987) as such exist ins witching between Chinese and English. My data rather supports the existence of facilitators or tendencies.

Automatic rule induction in Arabic to English machine translation framework

This chapter addresses the exploitation of a supervised machine learning technique to automatically induce Arabic-to-English transfer rules from chunks of parallel aligned linguistic resources. The induced structural transfer rules encode the linguistic translation knowledge for converting an Arabic syntactic structure into a target English syntactic structure. These rules are going to be an integral part of an Arabic-English transfer-based machine translation. Nevertheless, a novel morphological rule induction method is employed for learning Arabic morphological rules that are applied in our Arabic morphological analyzer. To demonstrate the capability of the automated rule induction technique, we conducted rule-based translation experiments that use induced rules from a relatively small data set. The translation quality of the hybrid translation experiments achieved good results in terms of WER.

Assessing the reading and writing of EAL/D students: issues and implications

This paper reports on the preliminary findings of a study on literacy strategies for learners in established English as an Additional Language (EAL) classes in Years 7-10 in three Victorian secondary schools. The paper draws on baseline reading and writing assessment results (N=45).