In the TTC project, monolingual term candidate extraction tools are being developed, as a basis for later term alignment, using comparable corpora. TTC covers English, German, French, Spanish, Latvian, Russian and Chinese. In the poster, we address the extraction of morphological and syntactic term variants of the first four languages. The term extraction pipeline is aimed at texts of technical domains (e.g. wind energy), which are obtained by a thematic web-crawler and then are POS-tagged and lemmatized. We extract multiword term candidates by POS-patterns (e.g. adjective+noun) and statistically filter domain-relevant terms. In a second step, morpho-syntactic term variants are grouped into sets: (1) metallhaltiger Abfall ↔ Abfall aus Metall. We use the typology of term variation proposed by (Daille, 2005). Certain types of variation are captured by expanding basic POS-patterns; for modifications (adjectives, embedding under genitive or of-phrases), additional distributional data are used, e.g. the frequency of modifiers in particular constructions. For morphological variation, we experiment with a simple stemming-based approach and a morphological analyzer: stemming rules allow us to relate terms like production d'électricité and électricité produite. To relate e.g. Emissionssteigerung and gesteigerte Emission, we need to split the compound noun Emission|Steigerung and to model the relation between steigern and gesteigert, which can be done using SMOR (Schmid et al., 2004). In addition to monolingual term variants, we are interested in patterns applicable to several languages: (2) noun adjective = noun de noun énergie générable ↔ génération d'énergie (FR) energía generable ↔ generación de energía (ES).