We present a system for the linguistic exploration and analysis of lexical cohesion in English texts. Using an electronic thesaurus-like resource, Princeton WordNet, and the Brown Corpus of English, we have implemented a process of annotating text with lexical chains and a graphical user interface for inspection of the annotated text. We describe the system and report on some sample linguistic ...

In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by mean...

research article (ra) genre has been a significant area of research in academic writing over past decades. however, authors’ identity in ras has not received much attention, especially in soft sciences like applied linguistics. this paper reports a corpus analysis of iranian writers’ authorial presence markers in ras in the field of applied linguistics. the corpus comprised 30 ras (200,000 word...

Recently, there has been a rebirth of empiricism in the field of natural language processing. Manual encoding of linguistic information is being challenged by automated corpus-based learning as a method of providing a natural language processing system with linguistic knowledge. Although corpus-based approaches have been successful in many different areas of natural language processing, it is o...

writers ensure the expected (re)construction of concepts in the mind of the audience through effective signposting of the inevitably linear linguistic stream, which is a main aspect of metadiscourse called interactive metadiscourse. in this study, the use of interactive metadiscourse markers in research articles was investigated to examine any probable difference existing between different disc...

This paper describes the STAC resource, a corpus of multi-party chats annotated for discourse structure in the style of SDRT (Asher and Lascarides, 2003; Lascarides and Asher, 2009). The main goal of the STAC project is to study the discourse structure of multi-party dialogues in order to understand the linguistic strategies adopted by interlocutors to achieve their conversational goals, especi...

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). The NTU-MC i...

The Web contains vast amounts of linguistic data. One key issue for linguists and language technologists is how to access it. Commercial search engines give highly compromised access. An alternative is to crawl the Web ourselves, which also allows us to remove duplicates and nearduplicates, navigational material, and a range of other kinds of non-linguistic matter. We can also tokenize, lemmati...

Compared to well-resourced languages such as English and Dutch, NLP tools for linguistic analysis in Afrikaans are still not abundant. In order to facilitate corpus-based linguistic research for Afrikaans, we are creating a treebank based on the Taalkommissie corpus. We adapted a tokenizer and a shallow parser, while using a TnT tagger to do part-of-speech annotation. A first linguistic phenome...

The NTU-MC compilation taps on the linguistic diversity of multilingual texts available within Singapore. The current version of NTU-MC contains 595,000 words (26,000 sentences) in 7 languages (Arabic, Chinese, English, Indonesian, Japanese, Korean and Vietnamese) from 7 language families (Afro-Asiatic, Sino-Tibetan, Indo-European, Austronesian, Japonic, Korean as a language isolate and Austro-...