Anaphora resolution for Arabic machine translation :a case study of nafs

PhD ThesisIn the age of the internet, email, and social media there is an increasing need for processing online information, for example, to support education and business. This has led to the rapid development of natural language processing technologies such as computational linguistics, information retrieval, and data mining. As a branch of computational linguistics, anaphora resolution has attracted much interest. This is reflected in the large number of papers on the topic published in journals such as Computational Linguistics. Mitkov (2002) and Ji et al. (2005) have argued that the overall quality of anaphora resolution systems remains low, despite practical advances in the area, and that major challenges include dealing with real-world knowledge and accurate parsing. This thesis investigates the following research question: can an algorithm be found for the resolution of the anaphor nafs in Arabic text which is accurate to at least 90%, scales linearly with text size, and requires a minimum of knowledge resources? A resolution algorithm intended to satisfy these criteria is proposed. Testing on a corpus of contemporary Arabic shows that it does indeed satisfy the criteria.Egyptian Government

Synchronous and asynchronous distance learning of anaphora in foreign languages

This paper analyses the influence of the distance learning modality (synchronous/asynchronous) in the learning of anaphora in English and Spanish as foreign languages, based on the results of a course offered to 45 Modern Language students at a Brazilian university in the first semester of 2020. Factors as the level of proficiency, type of task, and degree of motivation were also considered in this experimental study. Two experimental groups and one control group were compared in four written tests. English learners demonstrated a higher prior knowledge of anaphora than Spanish learners and showed the best test results. A positive and moderate correlation was found between the knowledge of anaphora, level of proficiency, and degree of motivation to study the language. Although the experimental groups made progress in the reading tests, the same did not happen in the writing tests. Finally, the difference was not significant between the two experimental groups.UIDB/50021/2020info:eu-repo/semantics/publishedVersio

Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction

In this paper we analyze the effectiveness of using linguistic knowledge from coreference and anaphora resolution for improving the performance for supervised keyphrase extraction. In order to verify the impact of these features, we de\ufb01ne a baseline keyphrase extraction system and evaluate its performance on a standard dataset using different machine learning algorithms. Then, we consider new sets of features by adding combinations of the linguistic features we propose and we evaluate the new performance of the system. We also use anaphora and coreference resolution to transform the documents, trying to simulate the cohesion process performed by the human mind. We found that our approach has a slightly positive impact on the performance of automatic keyphrase extraction, in particular when considering the ranking of the results

Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection

PACLIC 23 / City University of Hong Kong / 3-5 December 200

Anaphora Resolution in Near-Native Speakers of Italian

This study presents data from an experiment on the interpretation of intrasentential anaphora in Italian by native Italian speakers and by English speakers who have learned Italian as adults and have reached a near-native level of proficiency in this language. The two groups of speakers were presented with complex sentences consist-ing of a main clause and a subordinate clause, in which the subor-dinate clause had either an overt pronoun or a null subject pronoun. In half of the sentences the main clause preceded the subordinate clause (forward anaphora) and in the other half the subordinate clause preceded the main clause (backward anaphora). Participants performed in a picture verification task in which they had to indi-cate the picture(s) that corresponded to the meaning of the subor-dinate clause, thus identifying the possible antecedents of the null or overt subject pronouns. The patterns of responses of the two groups were very similar with respect to the null subject pronouns in both the forward and backward anaphora conditions. Compared to native monolingual speakers, however, the near-natives had a significantly higher preference for the subject of the matrix clause as a possible antecedent of overt subject pronouns, particularly in the backward anaphora condition. The results indicate that near-native speakers have acquired the syntactic constraints on pronom-inal subjects in Italian, but may have residual indeterminacy in the interface processing strategies they employ in interpreting pronom-inal forms

Using \u27Low-cost\u27 Learning Features for Pronoun Resolution

PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200