morpho-syntactic category assignments with the original resources (lp), those adapted to biology (lp-bio) and finally the latter associated with the simplification of terms (lp-bio-t).

| lp   | Lp-bio   | lp-bio-t   |     |       |    |       |
|------|----------|------------|-----|-------|----|-------|
| a    | b        | a          | B   | a     | b  |       |
| UW   | 244      | 41.1%      | 53  | 52.8% | 26 | 19.2% |
| GW   | 24       | 4.2%       | 72  | 0%    | 31 | 0%    |
| OoL  | 268      | 38%        | 125 | 22.4% | 57 | 8.8%  |

In Table 2, five criteria inform on the parsing time and quality for each sentence : the number of linkages (NbL), the parsing time (PT) in seconds, the fact that a complete linkage is found or not (CLF), the number of erroneous links (EL) and the quality of the constituency parse (CQ). NbW is the average number of words in a sentence which varies with term simplification. The results are given for each one of the three versions of the parser.

| lp    | Lp-bio   | lp-bio-t   |        |       |        |
|-------|----------|------------|--------|-------|--------|
| Crit. | Avg      | Avg        | %/lp   | Avg   | %/lp   |
| NbW   | 24.05    | 24.05      | 100%   | 18.9  | 78.6%  |
| NbL   | 190,306  | 232,622    | 122,2% | 1,431 | 0.75%  |
| PT    | 37.83    | 29.4       | 77.7%  | 0.53  | 1.4%   |
| CLF   | 0.54     | 0.72       | 133%   | 0.77  | 142.6% |
| EL    | 2.87     | 1.91       | 66.5%  | 1.15  | 40.1%  |
| CQ    | 0.54     | 0.7        | 129.6% | 0.8   | 148.1% |

UW, GW, NbL, PT and CLF are objective data while EL and CQ necessitate linguistic expertise. The CQ evaluation consisted in the assignment of a general quality score to the sentence.

## Results And Comments

The extension of the MG module reduced the number of erroneous morpho-syntactic category assignments (see Table 1) from 38% to 22.4%. 61% of the sentences where one or more assignment error was corrected by the MG module actually have better parsing results (15% have been degraded). More generally, guessing more forms makes category assignment more reliable. The extension of the lexicon discharged the two modules from 143 assignments out of 268 (50 of which were wrong). 64% of the sentences where one or more assignment error was corrected by the extension of lexicon have better parsing results (18% of the sentences were degraded). The effect of rule modification and creation is difficult to evaluate precisely though it actually improves the parsing, especially by relaxing the constraints on determiners and inserts. The most obvious contribution to the better parsing quality is the one of term simplification. The drastic reduction in parsing time and number of linkages gives an idea of the reduction of complexity. It is not only due to the smaller number of words since the number of erroneous links is reduced by 60% while the number of words is reduced by only 21.4%. This confirms