#MULTILINGUAL DICTIONARIES PLUS#
Our study is a first step towards instrument validation, indicating that both methods yield valid, comparable results, while method-specific differences remain. WordReference has two of its own dictionaries plus those of Collins.
While the MD model delivers a more nuanced picture of conflict-related topics, it misses several more peripheral topics, especially those unrelated to the dictionary’s focus, which are picked up by the MT model.
We find that both methods produce a large share of equivalent topics, especially in the context of fairly regular news discourse, yet show limited but systematic differences when applied to highly variable social media discourse. Our case study uses two text collections (of tweets and news articles) in three languages (English, Hebrew, Arabic), covering the ongoing local conflicts between Israeli authorities, settlers and Palestinian Bedouins in the West Bank. We empirically assess the consequences of these approaches based on both a quantitative comparison of models and a qualitative validation of each method’s comparative potentials and weaknesses. Multilingual dictionaries are closely related to bilingual dictionaries. The goal of this paper is to evaluate two methods for the topic modeling of multilingual document collections: (1) machine translation (MT), and (2) the coding of semantic concepts using a multilingual dictionary (MD) prior to topic modeling. Bilingual & multilingual dictionaries Ukrainian Essential Dictionary: All the Words You Need, Every Day Collins Irish Dictionary Pocket Edition Collins.
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