This paper addresses the automatic recognition of telicity, an aspectual notion.A telic event includes a natural endpoint (she walked home), while an atelic event does not (she walked around).Recognizing this difference is a prerequisite for temporal natural language understanding.In English, this classification task is difficult, as telicity is a covert linguistic category.In contrast, in Slavic languages, aspect is part of a verb's meaning and even available in machine-readable dictionaries.Our contributions are as follows.We successfully leverage additional silver standard training data in the form of projected annotations from parallel English-Czech data as well as context information, improving automatic telicity classification for English significantly compared to previous work.We also create a new data set of English texts manually annotated with telicity.