The part-of-speech tagger used to extract POS features was lgtagger7 (Constant and Sigogne, 2011).

We associate each word with its part-of-speech tags found in our external morphological lexicon.

Table 2: Feature templates (f) used both in the MWER and the reranker models: n is the current position in the sentence, is the word at position i; is the part-of-speech tag of w(z’); if the word at absolute position i is part of a compound in the Shortest Path Segmentation, mwt(i) and mws(i) are respectively the part-of-speech tag and the internal structure of the compound, mwpos(i) indicates its relative position in the compound (B or I).

In this paper, we focus on contiguous MWEs that form a lexical unit which can be marked by a part-of-speech tag (e. g. at night is an adverb, because of is a preposition).

Constant and Sigogne (2011) proposed to combine MWE segmentation and part-of-speech tagging into a single sequence labelling task by assigning to each token a tag of the form TAG+X where TAG is the part-of-speech (POS) of the leXical unit the token belongs to and X is either B (i.e.

We first perform word segmentation (if needed) and part-of-speech tagging .

After that, we obtain the word-segmented sentences with the part-of-speech tags .

The feature templates are outlined in Table l, where TYPE refers to one of the typeszPL or PR, h_pos refers to the part-of-speech tag of :1: h, h_word refers to the lexical form of :1: h, ch_pos refers to the part-of-speech tag of mch, and ch_word refers to the lexical form of mm.