This paper was concerned with terminology of the social sciences and humanities in Indonesian scientific papers. Using electronic corpora built from the collection of texts on legal science and administrative science in Universitas Indonesia, the aims of the study was to illustrate how to integrate corpus linguistic method with the communicative theory of terminology (CTT) to examine terminology. Three procedures of corpus analysis were applied to assist in identifying two of the areas that terminological units must fulfil, i.e. the linguistic component and the cognitive component. The keyword and word clusters analysis were used to extract multi-word terms while the collocation analysis was used to derive the most significant sense categories of terms. Using corpus software, vis. WordSmith Tools, the corpus analysis presents some of the results showing that the linguistic component of terminological units can be traced through the technique of keyword and word clusters. In Addition, the cognitive component of terminological units was possible to investigate through the concept of semantic preference, one of the key concepts in corpus linguistics built from the analysis of collocation. Therefore, it can be concluded that a corpus-based approach to study terminology is considered to offer several benefits, especially to the activity concerned with the compilation, description, processing and presenting terms in a more reliable and efficient way. It may also provide an alternative method for creating glossary and for translators to resolve terminological problems.

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Recent studies show that lexical bundles in English are pervasively found in academic discourse. In addition, the characteristics of lexical bundles found vary and differ across registers and genres. Nevertheless, it is still interesting to carry out in languages other than English. This study aims to discover the characteristics of Indonesian lexical bundles that cover frequency, structure, and function in research articles. This study adopted a mixed-method. Identification of the lexical bundle was carried out using WordSmith 7.0 on a corpus comprising 3,125,546 words, taken from 1126 texts, and consisting of six disciplines. With a frequency threshold of 40 per million words and a minimum distribution of 5 texts, 197 lexical bundles have been obtained, consisting of three- to six-word bundles with a total occurrence of 51,813 times. In terms of structure, the incomplete structure is dominating the bundles by 78.7%, with a total frequency of occurrence 38,749 times. This research finds that the pattern of lexical bundles can be classified into five types: noun-based, prepositional-based, verb-based, adjective-based, and clause-based bundles. Lexical bundles in research articles are generally clause-based (49.2%). This indicates that Indonesian lexical bundles vary in structure. The use of clause fragments and passive verbs are the main features in this genre. In terms of the discourse function, research-oriented bundles are the functions that are commonly used, while participant-oriented bundles are the least. Each discourse function has its own structural characteristics. It is also found that one lexical bundle can have two functional categories. These findings contribute to a better understanding of the characteristics of written academic discourse. From the pedagogical point of view, the findings can be used as learning material for both native and non-native speakers.

Lexical bundles are important elements in academic writing. Lexical bundles have been defined as combination of three or more words which are identified in a corpus of natural language by means of corpus analysis program. Every register has their own characteristics. This study aims to describe the frequency and structure of lndonesian lexical bundles on academic prose in legal studies. In this study, the identification of lexical bundles uses a frequency cutoff of 40 per million word that occurs at least within 5 different texts using AntConc computer program. The corpus compiled comprises 2,054,312 words, taken from four genres, i.e. undergraduate thesis, thesis, dissertation and journal article of legal studies. The results reveal that there are 475 lexical bundles, ranging from three to seven words, and mostly composed in three-word combination, such as oleh karena itu 'because of that', dalam hal ini 'in this case' and yang dilakukan oleh 'which is done by'. Among the four types of academic prose, journal article has the highest number of lexical bundles. In addition to the structural classification, it is found that the corpus has around 68,25 percent incomplete structures of phrase and clause. The patterns of yang + verb + prepositional phrase fragments (e.g., yang diatur dalam, yang ditetapkan oleh, yang berhubungan dengan); noun phrase + yang-relative clause fragments (e.g., alat bukti yang, aturan hukum yang, hukum pidana yang, ketentuan hukum yang); preposition + noun phrase fragments (dalam jangka waktu, dalam ketentuan pasal, dalam undang-undang nomor) are commonly used in this register.

Distinguishing between hoaxes and real news from a linguistic perspective requires further identification than can be provided by structural analysis. The study of emotions and sentiments contained in the text is also important, since these can indicate the author's mental state, rhetorical position, attitude, judgment, and relationship with an object or event. This study aimed to analyze how emotions and sentiments emerge and play a role in hoaxes, employing qualitative methods and the appraisal theory framework of Martin and White [1]. Data were limited to five hoax texts, with five news texts from official sources used for comparative analysis. All texts were political in nature. Analysis was conducted using qualitative methods, such as annotation, description, interpretation, and comparison between kinds of text. The study found that (1) hoax texts are dominated by negative sentiments with strong semantics, (2) hoax texts tend to be affective and judgmental, and (3) hoax authors try to write texts as similar as possible to real news, often using a heterogloss voice to convey statements. When a monogloss voice is used, an attribute embedding process is dominant. These findings indicate that emotions and sentiments play a significant role in hoax claims and that appraisal theory can address deeper and broader aspects of sentiment analysis in texts.