Articles

In this paper, we present a hybrid approach for performing token and sentence levels Dialect Identification in Arabic. Specifi- cally we try to identify whether each to- ken in a given sentence belongs to Modern Standard Arabic (MSA), Egyptian Dialec- tal Arabic (EDA) or some other class and whether the …...

Supervised machine learning classifica- tion algorithms assume both train and test data are sampled from the same domain or distribution. However, performance of the algorithms degrade for test data from different domain. Such cross do- main classification is arduous as features in the test domain may be different and absence …...

This paper presents a synchronous-graph- grammar-based approach for string-to- AMR parsing. We apply Markov Chain Monte Carlo (MCMC) algorithms learn Synchronous Hyperedge Replace-to ment Grammar (SHRG) rules from a for- est that represents likely derivations con- sistent with a fixed string-to-graph align- ment. We make an analogy of string-to- AMR …...

This work examines the impact of cross- linguistic transfer on grammatical errors in English as Second Language (ESL) texts. Using a computational framework that for- malizes the theory of Contrastive Analy- sis (CA), we demonstrate that language specific error distributions in ESL writ- ing can be predicted from the typologi- …...

Combinatory Categorial Grammar (CCG) is a lexicalized grammar formalism in which words are associated with cate- gories that specify the syntactic configura- tions in which they may occur. We present a novel parsing model with the capacity to capture the associative adjacent-category relationships intrinsic to CCG by param- eterizing the …...

Cross-lingual dependency parsing aims to train a dependency parser for an annotation-scarce target language by ex- ploiting annotated training data from an annotation-rich source language, which is of great importance in the field of nat- ural language processing. In this paper, we propose to address cross-lingual de- pendency parsing by …...

In coreference resolution, a fair amount of research treats mention detection as a pre- processed step and focuses on developing algorithms for clustering coreferred men- tions. However, there are significant gaps between the performance on gold mentions and the performance on the real problem, when mentions are predicted from raw …...

We present a theoretical analysis of online parameter tuning in statistical machine translation (SMT) from a coactive learn- ing view. This perspective allows us to give regret and generalization bounds for latent perceptron algorithms that are com- mon in SMT, but fall outside of the stan- dard convex optimization scenario. …...

This paper proposed a word usage classification for “De” in Chinese as a secondary language by rule induction algorithm. Learning of Chinese characters and tone adaption are both essential and hard tasks for non-native speakers. The frequent terms, defined in morphosyntatic particle “De” with three characters {的, 得, 地}, is …...

This paper proposed a method that can automatically detect syntax errors in Chinese sentences. The algorithm for identifying syntax errors proposed in this study is known as KNGED, which uses a large database of rules to identify whether syntax errors exist in a sentence. The rules were generated either manually …...

This paper proposes an automatic method to build a Chinese spelling check system. Confusion sets were expanded by using two language resources, Shuowen Jiezi and the Four-Corner codes, which improved the coverages of the confusion sets. Nine scoring functions which utilize the frequency data in the Google Ngram Datasets were …...

The number of people learning Chinese as a Foreign Language (CFL) has been booming in recent decades. The problem of spelling error correction for CFL learners increasingly is becoming important. Compared to the regular text spelling check task, more error types need to be considered in CFL cases. In this …...

Quality estimation evaluation commonly takes the form of measurement of the error that exists between predictions and gold standard labels for a particular test set of translations. Issues can arise during com- parison of quality estimation prediction score distributions and gold label distribu- tions, however. In this paper, we provide …...

Wild bird watching has become a popular leisure activity in recent years. Very often, people can see birds or hear their sounds, but have no idea what kind of bird species they are seeing. To help people learn to identify bird species from their sounds, we apply speech recognition techniques …...

In this paper, a new hybrid algorithm that combines both token-based and character-based approaches is presented. The basic Levenshtein approach also has been extended to the token-based distance metric. The distance metric is enhanced to set the proper granularity level behavior of the algorithm. It smoothly maps a threshold of …...

Entity linking (EL) is the task of linking a textual named entity mention to a knowledge base entry. Traditional approaches have addressed the problem by dividing the task into separate stages: entity recognition/classification, entity filtering, and entity mapping, in which different constraints are used to improve the system’s performance. Nevertheless, …...

For languages where space cannot be a boundary of a word, such as Chinese and Vietnamese, word segmentation is always the task to be done first in a statistical machine translation system (SMT). The word segmentation increases the translation quality, but it causes many unknown words (UKW) in the target …...

For languages where space cannot be a boundary of a word, such as Chinese and Vietnamese, word segmentation is always the task to be done first in a statistical machine translation system (SMT). The word segmentation increases the translation quality, but it causes many unknown words (UKW) in the target …...

We present a novel approach for analysing and classifying lyrics, experimenting both with n- gram models and more sophisticated features that model different dimensions of a song text, such as vocabulary, style, semantics, orientation towards the world, and song structure. We show that these can be combined with n-gram features …...

This paper addresses the specific features of Chinese discourse connectives, including types (word-pair and single-word), linking directions (forward and backward linking), positions and ambiguous degrees, and discusses how they affect the discourse relation recognition. A semi- supervised learning method is proposed to learn the probability distributions of discourse func- tions …...