Articles

. With the increasing numbers of the arrivals to the Arabian countries; it is neces- sary to use Arabic language in writing names on official documents. Because of the difference in writing English names in Arabic language, many methods have been spread for translating English names which led to first, …...

We present the S-SSTC framework for machine translation (MT), introduced in 2002 and developed since as a set of working MT systems (SiSTeC-ebmt). Our approach is example-based, but differs from other EBMT approaches in that it uses alignments of string-tree alignments, and in that supervised learning is an integral part …...

: Consecutive interpreting (CI) has gained increasing popularity and application in today’s world. Fluency is a criterion for CI output assessment. Although disfluencies among CI professionals were investigated in previous studies, little research has been done on the disfluency prevalence among CI undergraduate learners. Nor is the advantage of the …...

. This study incorporates computational and perceptual methods to classify Filipino speech rhythm. Speech rhythm may be described as a language‟s distinguishing durational sound pattern, resulting from the complexity of the language‟s syllable inventory. 1 Computational methods involve the correlation of rhythm-types to acoustic features such as the vocalic and …...

. Word semantic similarity measuring is a fundamental issue to many NLP appli- cations and the globalization has made an urgent request for cross-lingual word similarity measure. This paper proposed a word semantic similarity measure which is able to work in cross-lingual scenarios. Basically, a concept can be defined by …...

. It is argued that varying word-order is related not to the marking on the arguments indicating their grammatical relations but to the syntax of object. The flexible word-order in Japanese and the lack thereof in Chinese may be attributed to the presence or absence of argument-marking, but evidence from …...

. Statistical-based collocation extraction approaches suffer from (1) low precision rate because high co-occurrence bi-grams may be syntactically unrelated and are thus not true collocations; (2) low recall rate because some true collocations with low occurrences cannot be identified successfully by statistical-based models. To integrate both syntactic rules as well …...

. We studied a special case for the translation of English verbs in verb-object pairs. Researchers have studied the effects of the linguistic information about the verbs being translated, and many have reported how considering the objects of the verbs will facilitate the quality of translations. In this study, we …...

. With the advent of consumer generated media (e.g., Amazon reviews, Twitter, etc.), sentiment classification becomes a heated topic. Previous work heavily relies on a large amount of linguistic resources, which are difficult to obtain in resource-scarce languages. To overcome this problem, we investigate the usefulness of label propagation, which …...

. This paper systematically explores the effectiveness of dependency and constituent-based syntactic information for anaphoricity determination. In particular, this paper proposes two ways to combine dependency and constituent-based syntactic information to explore their complementary advantage. One is a dependency-driven constituent-based structured representation, and the other uses a composite kernel. Evaluation …...

. In this paper, we focus on the task of distilling relation instances from the Web. Most of the approaches for this task were based on provided seed instances or patterns to initiate the process. Thus, the result of the extraction depends largely on the quality of the instances and …...

. This paper presents a listwise approach as an alternative to commonly used pair- wise approaches to the task of coreference resolution in multiple languages. In this listwise approach, all antecedent candidates are examined simultaneously and assigned corresponding scores expressing the probability that each candidate is coreferent with a given …...

. In this paper, we present Thai named entity recognition (NER) systems using supervised Conditional Random Fields (CRFs) with various answer patterns to find out whether different answer patterns would affect the performance of the systems. Every system used the same set of features except the answers in the training …...

. This paper presents an experiment on in situ summarisation in a museum context. We implement a range of standard summarisation algorithms, and use them to generate sum- maries for individual exhibit areas in a museum, intended for in situ delivery to a museum visitor on a mobile device. Personalisation …...

. The NTU-MC compilation taps on the linguistic diversity of multilingual texts available within Singapore. The current version of NTU-MC contains 375,000 words (15,000 sentences) in 6 languages (English, Chinese, Japanese, Korean, Indonesian and Vietnamese) from 6 language families (Indo-European, Sino-Tibetan, Japonic, Korean as a language isolate, Austronesian and Austro-Asiatic). …...

. Interest in dependency parsing increased because of its efficiency to represent languages with flexible word order. Many research have applied dependency-based syntactic analysis to different languages and results vary depending on the nature of the language. Lan- guages with more flexible word order structure tend to have lower performances …...

. Usually ambiguous words contained in article appear several times. Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence. This paper presents a novel approach by considering neighborhood knowledge. The approach can naturally make full use of the within-sentence relationship from …...

. Lexical-semantic resources are fundamental building blocks in natural language processing (NLP). Frequently, they fail to cover the informal vocabulary of web users as represented in user-generated content. This paper aims at exploring folksonomies as a novel source of lexical-semantic information. It analyzes two prototypical examples of folk- sonomies, namely …...

. Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric representations of words to store semantic associations between words. Often word order information is not captured in these models. The …...

. Misspellings, abbreviations and acronyms are very popular in clinical notes and can be an obstacle to high quality information extraction and classification. In addition, another important part of narrative reports is clinical scores and measurements as doctors infer a patient‟s status by analyzing them. We introduce a knowledge discovery …...